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Chiu NT, Chuang B, Anakmeteeprugsa S, Shelley KH, Alian AA, Wu HT. Signal quality assessment of peripheral venous pressure. J Clin Monit Comput 2024; 38:101-112. [PMID: 37917210 DOI: 10.1007/s10877-023-01071-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2023] [Accepted: 08/25/2023] [Indexed: 11/04/2023]
Abstract
Develop a signal quality index (SQI) for the widely available peripheral venous pressure waveform (PVP). We focus on the quality of the cardiac component in PVP. We model PVP by the adaptive non-harmonic model. When the cardiac component in PVP is stronger, the PVP is defined to have a higher quality. This signal quality is quantified by applying the synchrosqueezing transform to decompose the cardiac component out of PVP, and the SQI is defined as a value between 0 and 1. A database collected during the lower body negative pressure experiment is utilized to validate the developed SQI. All signals are labeled into categories of low and high qualities by experts. A support vector machine (SVM) learning model is trained for practical purpose. The developed signal quality index coincide with human experts' labels with the area under the curve 0.95. In a leave-one-subject-out cross validation (LOSOCV), the SQI achieves accuracy 0.89 and F1 0.88, which is consistently higher than other commonly used signal qualities, including entropy, power and mean venous pressure. The trained SVM model trained with SQI, entropy, power and mean venous pressure could achieve an accuracy 0.92 and F1 0.91 under LOSOCV. An exterior validation of SQI achieves accuracy 0.87 and F1 0.92; an exterior validation of the SVM model achieves accuracy 0.95 and F1 0.96. The developed SQI has a convincing potential to help identify high quality PVP segments for further hemodynamic study. This is the first work aiming to quantify the signal quality of the widely applied PVP waveform.
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Affiliation(s)
- Neng-Tai Chiu
- School of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan
| | - Beau Chuang
- School of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan
| | - Suthawan Anakmeteeprugsa
- Department of Anesthesiology, Yale School of Medicine, Yale University, 333 Cedar Street, P.O. Box 208051, New Haven, CT, 06520-8051, USA
| | - Kirk H Shelley
- Department of Anesthesiology, Yale School of Medicine, Yale University, 333 Cedar Street, P.O. Box 208051, New Haven, CT, 06520-8051, USA
| | - Aymen Awad Alian
- Department of Anesthesiology, Yale School of Medicine, Yale University, 333 Cedar Street, P.O. Box 208051, New Haven, CT, 06520-8051, USA.
| | - Hau-Tieng Wu
- Department of Mathematics and Department of Statistical Science, Duke University, 140 Science Drive, Durham, NC, 27705, USA.
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Sundrani S, Chen J, Jin BT, Abad ZSH, Rajpurkar P, Kim D. Predicting patient decompensation from continuous physiologic monitoring in the emergency department. NPJ Digit Med 2023; 6:60. [PMID: 37016152 PMCID: PMC10073111 DOI: 10.1038/s41746-023-00803-0] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2022] [Accepted: 03/10/2023] [Indexed: 04/06/2023] Open
Abstract
Anticipation of clinical decompensation is essential for effective emergency and critical care. In this study, we develop a multimodal machine learning approach to predict the onset of new vital sign abnormalities (tachycardia, hypotension, hypoxia) in ED patients with normal initial vital signs. Our method combines standard triage data (vital signs, demographics, chief complaint) with features derived from a brief period of continuous physiologic monitoring, extracted via both conventional signal processing and transformer-based deep learning on ECG and PPG waveforms. We study 19,847 adult ED visits, divided into training (75%), validation (12.5%), and a chronologically sequential held-out test set (12.5%). The best-performing models use a combination of engineered and transformer-derived features, predicting in a 90-minute window new tachycardia with AUROC of 0.836 (95% CI, 0.800-0.870), new hypotension with AUROC 0.802 (95% CI, 0.747-0.856), and new hypoxia with AUROC 0.713 (95% CI, 0.680-0.745), in all cases significantly outperforming models using only standard triage data. Salient features include vital sign trends, PPG perfusion index, and ECG waveforms. This approach could improve the triage of apparently stable patients and be applied continuously for the prediction of near-term clinical deterioration.
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Affiliation(s)
- Sameer Sundrani
- School of Medicine, Vanderbilt University, Nashville, TN, USA
| | - Julie Chen
- Department of Computer Science, Stanford University, Stanford, CA, USA
| | - Boyang Tom Jin
- Department of Computer Science, Stanford University, Stanford, CA, USA
| | | | - Pranav Rajpurkar
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
| | - David Kim
- Department of Emergency Medicine, Stanford University, Stanford, CA, USA.
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Central Venous Waveform Analysis and Cardiac Output in a Porcine Model of Endotoxemic Hypotension and Resuscitation. J Am Coll Surg 2023; 236:294-304. [PMID: 36648257 DOI: 10.1097/xcs.0000000000000474] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/18/2023]
Abstract
BACKGROUND Cardiac output (CO) is a valuable proxy for perfusion, and governs volume responsiveness during resuscitation from distributive shock. The underappreciated venous system has nuanced physiology that confers valuable hemodynamic information. In this investigation, deconvolution of the central venous waveform by the fast Fourier transformation (FFT) algorithm is performed to assess its ability to constitute a CO surrogate in a porcine model of endotoxemia-induced distributive hypotension and resuscitation. STUDY DESIGN Ten pigs were anesthetized, catheterized, and intubated. A lipopolysaccharides infusion protocol was used to precipitate low systemic vascular resistance hypotension. Four crystalloid boluses (10 cc/kg) were then given in succession, after which heart rate, mean arterial pressure, thermodilution-derived CO, central venous pressure (CVP), and the central venous waveform were collected, the last undergoing fast Fourier transformation analysis. The amplitude of the fundamental frequency of the central venous waveform's cardiac wave (f0-CVP) was obtained. Heart rate, mean arterial pressure, CVP, f0-CVP, and CO were plotted over the course of the boluses to determine whether f0-CVP tracked with CO better than the vital signs, or than CVP itself. RESULTS Distributive hypotension to a 25% mean arterial pressure decrement was achieved, with decreased systemic vascular resistance (mean 918 ± 227 [SD] dyne/s/cm-5 vs 685 ± 180 dyne/s/cm-5; p = 0.038). Full hemodynamic parameters characterizing this model were reported. Slopes of linear regression lines of heart rate, mean arterial pressure, CVP, f0-CVP, and CO were -2.8, 1.7, 1.8, 0.40, and 0.35, respectively, demonstrating that f0-CVP values closely track with CO over the 4-bolus range. CONCLUSIONS Fast Fourier transformation analysis of the central venous waveform may allow real-time assessment of CO during resuscitation from distributive hypotension, possibly offering a venous-based approach to clinical estimation of volume responsiveness.
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Alvis B, Huston J, Schmeckpeper J, Polcz M, Case M, Harder R, Whitfield JS, Spears KG, Breed M, Vaughn L, Brophy C, Hocking KM, Lindenfeld J. Noninvasive Venous Waveform Analysis Correlates With Pulmonary Capillary Wedge Pressure and Predicts 30-Day Admission in Patients With Heart Failure Undergoing Right Heart Catheterization. J Card Fail 2022; 28:1692-1702. [PMID: 34555524 PMCID: PMC8934313 DOI: 10.1016/j.cardfail.2021.09.009] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2021] [Revised: 09/09/2021] [Accepted: 09/10/2021] [Indexed: 12/13/2022]
Abstract
BACKGROUND Heart failure is the leading cause of hospitalization in the elderly and readmission is common. Clinical indicators of congestion may not precede acute congestion with enough time to prevent hospital admission for heart failure. Thus, there is a large and unmet need for accurate, noninvasive assessment of congestion. Noninvasive venous waveform analysis in heart failure (NIVAHF) is a novel, noninvasive technology that monitors intravascular volume status and hemodynamic congestion. The objective of this study was to determine the correlation of NIVAHF with pulmonary capillary wedge pressure (PCWP) and the ability of NIVAHF to predict 30-day admission after right heart catheterization. METHODS AND RESULTS The prototype NIVAHF device was compared with the PCWP in 106 patients undergoing right heart catheterization. The NIVAHF algorithm was developed and trained to estimate the PCWP. NIVA scores and central hemodynamic parameters (PCWP, pulmonary artery diastolic pressure, and cardiac output) were evaluated in 84 patients undergoing outpatient right heart catheterization. Receiver operating characteristic curves were used to determine whether a NIVA score predicted 30-day hospital admission. The NIVA score demonstrated a positive correlation with PCWP (r = 0.92, n = 106, P < .0001). The NIVA score at the time of hospital discharge predicted 30-day admission with an AUC of 0.84, a NIVA score of more than 18 predicted admission with a sensitivity of 91% and specificity of 56%. Residual analysis suggested that no single patient demographic confounded the predictive accuracy of the NIVA score. CONCLUSIONS The NIVAHF score is a noninvasive monitoring technology that is designed to provide an estimate of PCWP. A NIVA score of more than 18 indicated an increased risk for 30-day hospital admission. This noninvasive measurement has the potential for guiding decongestive therapy and the prevention of hospital admission in patients with heart failure.
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Affiliation(s)
- Bret Alvis
- Department of Anesthesiology, Division of Critical Care, Vanderbilt University Medical Center, Nashville, Tennessee; Department of Biomedical Engineering, Vanderbilt University, Nashville, Tennessee; VoluMetrix, LLC, Nashville, Tennessee.
| | - Jessica Huston
- Department of Medicine, Division of Cardiovascular Medicine, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania
| | - Jeffery Schmeckpeper
- Department of Medicine, Division of Cardiovascular Medicine, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Monica Polcz
- Department of Surgery, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Marisa Case
- Department of Anesthesiology, Division of Critical Care, Vanderbilt University Medical Center, Nashville, Tennessee
| | | | | | | | - Meghan Breed
- Department of Anesthesiology, Division of Critical Care, Vanderbilt University Medical Center, Nashville, Tennessee; Department of Emergency Medicine, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Lexie Vaughn
- Department of Surgery, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Colleen Brophy
- VoluMetrix, LLC, Nashville, Tennessee; Department of Surgery, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Kyle M Hocking
- Department of Biomedical Engineering, Vanderbilt University, Nashville, Tennessee; VoluMetrix, LLC, Nashville, Tennessee; Department of Surgery, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Joann Lindenfeld
- Department of Medicine, Division of Cardiovascular Medicine, Vanderbilt University Medical Center, Nashville, Tennessee
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Venous waveform analysis detects acute right ventricular failure in a rat respiratory arrest model. Pediatr Res 2022; 93:1539-1545. [PMID: 36042330 PMCID: PMC9971354 DOI: 10.1038/s41390-022-02278-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/02/2022] [Revised: 07/12/2022] [Accepted: 08/09/2022] [Indexed: 11/09/2022]
Abstract
BACKGROUND Peripheral intravenous analysis (PIVA) has been shown to be more sensitive than central venous pressure (CVP) for detecting hemorrhage and volume overload. We hypothesized that PIVA is superior to CVP for detecting right ventricular (RV) failure in a rat model of respiratory arrest. METHODS Eight Wistar rats were studied in accordance with the ARRIVE guidelines. CVP, mean arterial pressure (MAP), and PIVA were recorded. Respiratory arrest was achieved with IV Rocuronium. PIVA utilizes Fourier transform to quantify the amplitude of the peripheral venous waveform, expressed as the "f1 amplitude". RV diameter was measured with transthoracic echocardiography. RESULTS RV diameter increased from 0.34 to 0.54 cm during arrest, p = 0.001, and returned to 0.33 cm post arrest, p = 0.97. There was an increase in f1 amplitude from 0.07 to 0.38 mmHg, p = 0.01 and returned to 0.08 mmHg, p = 1.0. MAP decreased from 119 to 67 mmHg, p = 0.004 and returned to 136 mmHg, p = 0.50. There was no significant increase in CVP from 9.3 mmHg at baseline to 10.5 mmHg during respiratory arrest, p = 0.91, and recovery to 8.6 mmHg, p = 0.81. CONCLUSIONS This study highlights the utility of PIVA to detect RV failure in small-caliber vessels, comparable to peripheral veins in the human pediatric population. IMPACT Right ventricular failure remains a diagnostic challenge, particularly in pediatric patients with small vessel sizes limiting invasive intravascular monitor use. Intravenous analysis has shown promise in detecting hypovolemia and volume overload. Intravenous analysis successfully detects right ventricular failure in a rat respiratory arrest model. Intravenous analysis showed utility despite utilizing small peripheral venous access and therefore may be applicable to a pediatric population. Intravenous analysis may be helpful in differentiating various types of shock.
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Controversies in paediatric acute kidney injury and continuous renal replacement therapy: can paediatric care lead the way to precision acute kidney injury medicine? Curr Opin Crit Care 2021; 27:604-610. [PMID: 34561357 DOI: 10.1097/mcc.0000000000000888] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
PURPOSE OF REVIEW Paediatric patients represent a unique challenge for providers managing acute kidney injury (AKI). Critical care for these children requires a precise approach to assessment, diagnostics and management. RECENT FINDINGS Primarily based on observational data, large epidemiologic datasets have demonstrated a strong association between AKI prevalence (one in four critically ill children) and poor patient outcome. Drivers of AKI itself are multifactorial and the causal links between AKI and host injury remain incompletely defined, creating a management paradigm primarily supportive in nature. The previous decades of research have focused primarily on elucidating the population-level epidemiologic signal of AKI and use of renal replacement therapy (RRT), but in order to reverse the course of the AKI 'epidemic', future decades will require more attention to the individual patient. A patient-level approach to AKI in children will require sophisticated approaches to risk stratification, diagnostics and targeted utilization of therapies (both supportive and targeted towards drivers of injury). SUMMARY In this review, we will summarize the past, present and future of AKI care in children, discussing the ongoing work and future goals of a personalized approach to AKI medicine.
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Murugan R, Bellomo R, Palevsky PM, Kellum JA. Ultrafiltration in critically ill patients treated with kidney replacement therapy. Nat Rev Nephrol 2021; 17:262-276. [PMID: 33177700 PMCID: PMC9826716 DOI: 10.1038/s41581-020-00358-3] [Citation(s) in RCA: 28] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 09/21/2020] [Indexed: 01/30/2023]
Abstract
Management of fluid overload is one of the most challenging problems in the care of critically ill patients with oliguric acute kidney injury. Various clinical practice guidelines support fluid removal using ultrafiltration during kidney replacement therapy. However, ultrafiltration is associated with considerable risks. Emerging evidence from observational studies suggests that both slow and fast rates of net fluid removal (that is, net ultrafiltration (UFNET)) during continuous kidney replacement therapy are associated with increased mortality compared with moderate UFNET rates. In addition, fast UFNET rates are associated with an increased risk of cardiac arrhythmias. Experimental studies in patients with kidney failure who were treated with intermittent haemodialysis suggest that fast UFNET rates are also associated with ischaemic injury to the heart, brain, kidney and gut. The UFNET rate should be prescribed based on patient body weight in millilitres per kilogramme per hour with close monitoring of patient haemodynamics and fluid balance. Dialysate cooling and sodium modelling may prevent haemodynamic instability and facilitate large volumes of fluid removal in patients with kidney failure who are treated with intermittent haemodialysis, but the effects of this strategy on organ injury are less well studied in critically ill patients treated with continuous kidney replacement therapy. Randomized trials are required to examine whether moderate UFNET rates are associated with a reduced risk of haemodynamic instability, organ injury and improved outcomes in critically ill patients.
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Affiliation(s)
- Raghavan Murugan
- The Center for Critical Care Nephrology, CRISMA, Department of Critical Care Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.
- The Clinical Research, Investigation, and Systems Modeling of Acute Illness (CRISMA) Center, Department of Critical Care Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.
| | - Rinaldo Bellomo
- Department of Intensive Care Medicine, The University of Melbourne, Austin Hospital, Melbourne, Victoria, Australia
| | - Paul M Palevsky
- The Center for Critical Care Nephrology, CRISMA, Department of Critical Care Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
- Renal-Electrolyte Division, Department of Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - John A Kellum
- The Center for Critical Care Nephrology, CRISMA, Department of Critical Care Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
- The Clinical Research, Investigation, and Systems Modeling of Acute Illness (CRISMA) Center, Department of Critical Care Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
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Abstract
Emerging evidence from observational studies suggests that both slower and faster net ultrafiltration rates during kidney replacement therapy are associated with increased mortality in critically ill patients with acute kidney injury and fluid overload. Faster rates are associated with ischemic organ injury. The net ultrafiltration rate should be prescribed based on patient body weight in milliliters per kilogram per hour, with close monitoring of patient hemodynamics and fluid balance. Randomized trials are required to examine whether moderate net ultrafiltration rates compared with slower and faster rates are associated with reduced risk of hemodynamic instability, organ injury, and improved outcomes.
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Affiliation(s)
- Vikram Balakumar
- Department of Critical Care Medicine, Mercy Hospitals, Springfield, MO, USA; Department of Critical Care Medicine, Center for Critical Care Nephrology, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA. https://twitter.com/vikrambalakumar
| | - Raghavan Murugan
- Department of Critical Care Medicine, Center for Critical Care Nephrology, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA; Department of Critical Care Medicine, The Clinical Research, Investigation, and Systems Modeling of Acute Illness (CRISMA) Center, University of Pittsburgh School of Medicine, University of Pittsburgh, 3347 Forbes Avenue, Suite 220, Room 206, Pittsburgh, PA 15261, USA.
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Broyles MG, Subramanyam S, Barker AB, Tolwani AJ. Fluid Responsiveness in the Critically Ill Patient. Adv Chronic Kidney Dis 2021; 28:20-28. [PMID: 34389133 DOI: 10.1053/j.ackd.2021.06.006] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2021] [Revised: 06/04/2021] [Accepted: 06/13/2021] [Indexed: 12/19/2022]
Abstract
Accurate assessment of intravascular volume status in critically ill patients remains a very challenging task. Recent data have shown adverse outcomes in critically ill patients with either inadequate or overaggressive fluid therapy. Understanding the tools and techniques available for accurate volume assessment is imperative. This article discusses the concept of fluid responsiveness and reviews methods for assessing fluid responsiveness in critically ill patients.
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Chang D, Leisy PJ, Sobey JH, Reddy SK, Brophy C, Alvis BD, Hocking K, Polcz M. Physiology and clinical utility of the peripheral venous waveform. JRSM Cardiovasc Dis 2020; 9:2048004020970038. [PMID: 33194174 PMCID: PMC7605016 DOI: 10.1177/2048004020970038] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2020] [Revised: 10/01/2020] [Accepted: 10/11/2020] [Indexed: 12/19/2022] Open
Abstract
The peripheral venous system serves as a volume reservoir due to its high compliance and can yield information on intravascular volume status. Peripheral venous waveforms can be captured by direct transduction through a peripheral catheter, non-invasive piezoelectric transduction, or gleaned from other waveforms such as the plethysmograph. Older analysis techniques relied upon pressure waveforms such as peripheral venous pressure and central venous pressure as a means of evaluating fluid responsiveness. Newer peripheral venous waveform analysis techniques exist in both the time and frequency domains, and have been applied to various clinical scenarios including hypovolemia (i.e. hemorrhage, dehydration) and volume overload.
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Affiliation(s)
- Devin Chang
- Department of Biomedical Engineering, Vanderbilt University, Nashville, TN, USA
| | - Philip J Leisy
- Department of Anesthesiology, Division of Critical Care, Vanderbilt University Medical Center, Nashville TN, USA
| | - Jenna H Sobey
- Department of Anesthesiology, Division of Pediatric Anesthesiology, Monroe Carell Jr. Children's Hospital at Vanderbilt University Medical Center, Nashville TN, USA
| | - Srijaya K Reddy
- Department of Anesthesiology, Division of Pediatric Anesthesiology, Monroe Carell Jr. Children's Hospital at Vanderbilt University Medical Center, Nashville TN, USA
| | - Colleen Brophy
- Division of Vascular Surgery, Vanderbilt University Medical Center, Nashville TN, USA
| | - Bret D Alvis
- Department of Surgery, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Kyle Hocking
- Department of Surgery, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Monica Polcz
- Department of Surgery, Vanderbilt University Medical Center, Nashville, TN, USA
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Lefevre RJ, Balzer C, Baudenbacher FJ, Riess ML, Hernandez A, Eagle SS. Venous Waveform Analysis Correlates With Echocardiography in Detecting Hypovolemia in a Rat Hemorrhage Model. Semin Cardiothorac Vasc Anesth 2020; 25:11-18. [PMID: 32957831 DOI: 10.1177/1089253220960894] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
BACKGROUND Assessing intravascular hypovolemia due to hemorrhage remains a clinical challenge. Central venous pressure (CVP) remains a commonly used monitor in surgical and intensive care settings for evaluating blood loss, despite well-described pitfalls of static pressure measurements. The authors investigated an alternative to CVP, intravenous waveform analysis (IVA) as a method for detecting blood loss and examined its correlation with echocardiography. METHODS Seven anesthetized, spontaneously breathing male Sprague Dawley rats with right internal jugular central venous and femoral arterial catheters underwent hemorrhage. Mean arterial pressure (MAP), heart rate, CVP, and IVA were assessed and recorded. Hemorrhage was performed until each rat had 25% estimated blood volume removed. IVA was obtained using fast Fourier transform and the amplitude of the fundamental frequency (f1) was measured. Transthoracic echocardiography was performed utilizing a parasternal short axis image of the left ventricle during hemorrhage. MAP, CVP, and IVA were compared with blood removed and correlated with left ventricular end diastolic area (LVEDA). RESULTS All 7 rats underwent successful hemorrhage. MAP and f1 peak amplitude obtained by IVA showed significant changes with hemorrhage. MAP and f1 peak amplitude also significantly correlated with LVEDA during hemorrhage (R = 0.82 and 0.77, respectively). CVP did not significantly change with hemorrhage, and there was no significant correlation between CVP and LVEDA. CONCLUSIONS In this study, f1 peak amplitude obtained by IVA was superior to CVP for detecting acute, massive hemorrhage. In addition, f1 peak amplitude correlated well with LVEDA on echocardiography. Translated clinically, IVA might provide a viable alternative to CVP for detecting hemorrhage.
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Affiliation(s)
- Ryan J Lefevre
- Vanderbilt University Medical Center, Nashville, TN, USA
| | | | | | - Matthias L Riess
- Vanderbilt University Medical Center, Nashville, TN, USA.,Vanderbilt University, Nashville, TN, USA.,TVHS VA Medical Center, Nashville, TN, USA
| | | | - Susan S Eagle
- Vanderbilt University Medical Center, Nashville, TN, USA
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Polcz M, Hocking KM, Chang D, Leisy P, Sobey JH, Huston J, Eagle S, Brophy C, Alvis BD. A brief report on the effects of vasoactive agents on peripheral venous waveforms in a porcine model. JRSM Cardiovasc Dis 2020; 9:2048004020940857. [PMID: 32864123 PMCID: PMC7430072 DOI: 10.1177/2048004020940857] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2020] [Revised: 06/05/2020] [Accepted: 06/17/2020] [Indexed: 01/04/2023] Open
Abstract
Objectives Non-invasive venous waveform analysis (NIVA) is a recently described, novel technique to assess intravascular volume status. Waveforms are captured with a piezoelectric sensor; analysis in the frequency domain allows for calculation of a “NIVA value” that represents volume status. The aim of this report was to determine the effects of vasoactive agents on the venous waveform and calculated NIVA values. Design Porcine experimental model. Setting Operating theatre. Participants A piezoelectric sensor was secured over the surgically exposed saphenous vein in eight anesthetized pigs. Main outcome measures NIVA value, pulmonary capillary wedge pressure (PCWP), and mean arterial pressure prior to and post intravenous administration of 150–180 µg of phenylephrine or 100 µg of sodium nitroprusside. Results Phenylephrine led to a decrease in NIVA value (mean 9.2 vs. 4.6, p < 0.05), while sodium nitroprusside led to an increase in NIVA value (mean 9.5 vs. 11.9, p < 0.05). Mean arterial pressure increased after phenylephrine (p < 0.05) and decreased after sodium nitroprusside (p < 0.05). PCWP did not change significantly after phenylephrine (p = 0.25) or sodium nitroprusside (p = 0.06). Conclusions Vasoactive agents lead to changes in non-invasively obtained venous waveforms in euvolemic pigs, highlighting a potential limitation in the ability to NIVA to estimate static volume in this setting. Further studies are indicated to understand the effects of vasoactive agents in the setting of hypovolemia and hypervolemia.
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Affiliation(s)
- Monica Polcz
- Department of Surgery, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Kyle M Hocking
- Department of Surgery, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Devin Chang
- Department of Bioengineering, Vanderbilt University, Nashville, TN, USA
| | - Philip Leisy
- Department of Anesthesiology, Division of Critical Care Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Jenna H Sobey
- Department of Anesthesiology, Division of Critical Care Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Jessica Huston
- Department of Medicine, Division of Cardiovascular Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Susan Eagle
- Department of Anesthesiology, Division of Critical Care Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Colleen Brophy
- Department of Surgery, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Bret D Alvis
- Department of Anesthesiology, Division of Critical Care Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
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13
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Alvis BD, Polcz M, Miles M, Wright D, Shwetar M, Leisy P, Forbes R, Fissell R, Whitfield J, Eagle S, Brophy C, Hocking K. Non-invasive venous waveform analysis (NIVA) for volume assessment in patients undergoing hemodialysis: an observational study. BMC Nephrol 2020; 21:194. [PMID: 32448178 PMCID: PMC7245891 DOI: 10.1186/s12882-020-01845-2] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2019] [Accepted: 05/08/2020] [Indexed: 12/19/2022] Open
Abstract
BACKGROUND Accurate assessment of volume status to direct dialysis remains a clinical challenge. Despite current attempts at volume-directed dialysis, inadequate dialysis and intradialytic hypotension (IDH) are common occurrences. Peripheral venous waveform analysis has recently been developed as a method to accurately determine intravascular volume status through algorithmic quantification of changes in the waveform that occur at different volume states. A noninvasive method to capture peripheral venous signals is described (Non-Invasive Venous waveform Analysis, NIVA). The objective of this proof-of-concept study was to characterize changes in NIVA signal with dialysis. We hypothesized that there would be a change in signal after dialysis and that the rate of intradialytic change in signal would be predictive of IDH. METHODS Fifty subjects undergoing inpatient hemodialysis were enrolled. A 10-mm piezoelectric sensor was secured to the middle volar aspect of the wrist on the extremity opposite to the access site. Signals were obtained fifteen minutes before, throughout, and up to fifteen minutes after hemodialysis. Waveforms were analyzed after a fast Fourier transformation and identification of the frequencies corresponding to the cardiac rate, with a NIVA value generated based on the weighted powers of these frequencies. RESULTS Adequate quality (signal to noise ratio > 20) signals pre- and post- dialysis were obtained in 38 patients (76%). NIVA values were significantly lower at the end of dialysis compared to pre-dialysis levels (1.203 vs 0.868, p < 0.05, n = 38). Only 16 patients had adequate signals for analysis throughout dialysis, but in this small cohort the rate of change in NIVA value was predictive of IDH with a sensitivity of 80% and specificity of 100%. CONCLUSIONS This observational, proof-of-concept study using a NIVA prototype device suggests that NIVA represents a novel and non-invasive technique that with further development and improvements in signal quality may provide static and continuous measures of volume status to assist with volume directed dialysis and prevent intradialytic hypotension.
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Affiliation(s)
- Bret D. Alvis
- Department of Anesthesiology, Division of Critical Care, Vanderbilt University Medical Center, 422 MAB, 1211 21st Ave South, Nashville, TN 37212 USA
| | - Monica Polcz
- Vanderbilt University Medical Center, S111 Medical Center North, 21st Ave South, Medical Art Building 422, Nashville, TN 37212 USA
| | - Merrick Miles
- Department of Anesthesiology, Division of Critical Care, Vanderbilt University Medical Center, 422 MAB, 1211 21st Ave South, Nashville, TN 37212 USA
| | - Donald Wright
- Vanderbilt University School of Medicine, 1161 21st Ave S # D3300, Nashville, TN 37232 USA
| | - Mohammad Shwetar
- Vanderbilt University School of Medicine, 1161 21st Ave S # D3300, Nashville, TN 37232 USA
| | - Phil Leisy
- Department of Anesthesiology, Division of Critical Care, Vanderbilt University Medical Center, 422 MAB, 1211 21st Ave South, Nashville, TN 37212 USA
| | - Rachel Forbes
- Department of Surgery, Division of Kidney and Pancreas Transplantation, Vanderbilt University Medical Center, 1301 Medical Center Drive, Nashville, TN 37232 USA
| | - Rachel Fissell
- Department of Medicine, Division of Nephrology and Hypertension, Vanderbilt University Medical Center, 1161 21st Ave South, MCN S-3223, Nashville, TN 37232 USA
| | - Jon Whitfield
- Volumetrix, LLC, 2126 21st Ave South, Nashville, TN 37212 USA
| | - Susan Eagle
- Vanderbilt University Medical Center, S111 Medical Center North, 21st Ave South, Medical Art Building 422, Nashville, TN 37212 USA
| | - Colleen Brophy
- Vanderbilt University Medical Center, S111 Medical Center North, 21st Ave South, Medical Art Building 422, Nashville, TN 37212 USA
| | - Kyle Hocking
- Vanderbilt University Medical Center, S111 Medical Center North, 21st Ave South, Medical Art Building 422, Nashville, TN 37212 USA
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Alvis BD, McCallister R, Polcz M, Lima JLO, Sobey JH, Brophy DR, Miles M, Brophy C, Hocking K. Non-Invasive Venous waveform Analysis (NIVA) for monitoring blood loss in human blood donors and validation in a porcine hemorrhage model. J Clin Anesth 2019; 61:109664. [PMID: 31786067 DOI: 10.1016/j.jclinane.2019.109664] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2019] [Revised: 09/30/2019] [Accepted: 11/16/2019] [Indexed: 02/01/2023]
Abstract
STUDY OBJECTIVE There is an unmet need for a non-invasive approach to diagnose hemorrhage early, before changes in vital signs occur. Non-Invasive Venous waveform Analysis (NIVA) uses a unique physiological signal (the peripheral venous waveform) to assess intravascular volume. We hypothesized changes in the venous waveform would be observed with blood loss in healthy adult blood donors and characterized hemorrhage using invasive monitoring in a porcine model. DESIGN Prospective observational study. SETTING American Red Cross donation center. PATIENTS 50 human blood donors and 12 non-donating controls; 7 Yorkshire pigs. INTERVENTIONS A venous waveform capturing prototype (NIVA device) was secured to the volar aspect of the wrist in human subjects. A central venous catheter was used to obtain hemodynamic indices and venous waveforms were obtained using the prototype NIVA device over the saphenous vein during 400 mL of graded hemorrhage in a porcine model. MEASUREMENTS Venous waveforms were transformed from the time to the frequency domain. The ratiometric power contributions of the cardiac frequencies were used to calculate a NIVA value representative of volume status. MAIN RESULTS A significant decrease in NIVA value was observed after 500 mL of whole blood donation (p < .05). A ROC curve for the ability of the NIVA to detect 500 mL of blood loss demonstrated an area under the curve (AUC) of 0.94. In the porcine model, change in NIVA value correlated linearly with blood loss and with changes in hemodynamic indices. CONCLUSIONS This study provides proof-of-concept for a potential application of NIVA in detection of blood loss. NIVA represents a novel physiologic signal for detection of early blood loss that may be useful in early triage and perioperative management.
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Affiliation(s)
- Bret D Alvis
- 422 MAB, 1211 21st Ave South, Vanderbilt University Medical Center, Nashville, TN 37212, USA.
| | - Reid McCallister
- S111 Medical Center North, 21st Ave South, Vanderbilt University Medical Center, Nashville, TN 37212, USA.
| | - Monica Polcz
- S111 Medical Center North, 21st Ave South, Vanderbilt University Medical Center, Nashville, TN 37212, USA.
| | | | - Jenna Helmer Sobey
- 2200 Children's Way Suite 3115, Vanderbilt University Medical Center, Nashville 37212, USA.
| | - Daniel R Brophy
- S111 Medical Center North, 21st Ave South, Vanderbilt University Medical Center, Nashville, TN 37212, USA
| | - Merrick Miles
- 422 MAB, 1211 21st Ave South, Vanderbilt University Medical Center, Nashville, TN 37212, USA.
| | - Colleen Brophy
- S111 Medical Center North, 21st Ave South, Vanderbilt University Medical Center, Nashville, TN 37212, USA.
| | - Kyle Hocking
- S111 Medical Center North, 21st Ave South, Vanderbilt University Medical Center, Nashville, TN 37212, USA.
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Effects of hemodialysis on blood volume, macro- and microvascular function. Microvasc Res 2019; 129:103958. [PMID: 31734376 DOI: 10.1016/j.mvr.2019.103958] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2019] [Revised: 11/11/2019] [Accepted: 11/13/2019] [Indexed: 11/24/2022]
Abstract
BACKGROUND Vascular dysfunction is considered to spur the progression of cardiovascular disease in hemodialysis (HD) patients. Whether the HD procedure itself contributes to vascular dysfunction remains incompletely investigated. The present study sought to comprehensively assess the effects of HD on arterial and venous function along with concomitant changes in blood volume (BV). METHODS AND RESULTS We determined BV with high-precision, automated carbon monoxide-rebreathing, arterial stiffness using applanation tonometry and intrinsic microvascular function via retinal vessel analysis prior to and after conventional 4-hour HD in fasting-controlled conditions in 10 patients. All HD patients were non-smokers and non-obese (body mass index = 22.8 ± 2.8 m·kg-2). Hypertension (70%), coronary artery disease (40%) and diabetes mellitus (20%) were the most prevalent comorbidities. Prior to HD, all patients presented with hypervolemia (+2208 ± 1213 ml). HD decreased body weight (-1.72 ± 1.25 kg, P = 0.002) and plasma volume (-689 ± 566 ml, P = 0.004), while hematocrit (Hct) was concomitantly increased (+4.8 ± 4.5%, P = 0.009). HD did not affect large elastic artery stiffness, as determined by carotid-femoral pulse wave velocity (P = 0.448) and carotid distensibility (P = 0.562). In contrast, flicker light-induced retinal venular dilation was reduced by three-fourths after HD (-2.4 ± 1.7%, P = 0.039), in parallel to increased retinal venular diameter (+11.2 ± 4.9 μm, P = 0.002). In regression analyses, a negative association was observed between HD-induced changes in Hct and retinal venular dilation (r ≥ -0.89, P ≤ 0.045). CONCLUSION Conventional HD resulting in substantial plasma volume removal do not alter large artery elastic properties, whereas intrinsic microvascular venular dilator function is markedly impaired, an effect directly associated with the increase in hemoconcentration.
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Alvis BD, Polcz M, Huston JH, Hopper TS, Leisy P, Mishra K, Eagle SS, Brophy CM, Lindenfeld J, Hocking KM. Observational Study of Noninvasive Venous Waveform Analysis to Assess Intracardiac Filling Pressures During Right Heart Catheterization. J Card Fail 2019; 26:136-141. [PMID: 31574315 DOI: 10.1016/j.cardfail.2019.09.009] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2019] [Revised: 09/06/2019] [Accepted: 09/19/2019] [Indexed: 12/28/2022]
Abstract
BACKGROUND Outpatient monitoring and management of patients with heart failure (HF) reduces hospitalizations and health care costs. However, the availability of noninvasive approaches to assess congestion is limited. Noninvasive venous waveform analysis (NIVA) uses a unique physiologic signal, the morphology of the venous waveform, to assess intracardiac filling pressures. This study is a proof of concept analysis of the correlation between NIVA value and pulmonary capillary wedge pressure (PCWP) and the ability of the NIVA value to predict PCWP > 18 mmHg in subjects undergoing elective right heart catheterization (RHC). PCWP was also compared across common clinical correlates of congestion. METHODS AND RESULTS A prototype NIVA device, which consists of a piezoelectric sensor placed over the skin on the volar aspect of the wrist, connected to a data-capture control box, was used to collect venous waveforms in 96 patients during RHC. PCWP was collected at end-expiration by an experienced cardiologist. The venous waveform signal was transformed to the frequency domain (Fourier transform), where a ratiometric algorithm of the frequencies of the pulse rate and its harmonics was used to derive a NIVA value. NIVA values were successfully captured in 83 of 96 enrolled patients. PCWP ranged from 4-40 mmHg with a median of 13 mmHg. NIVA values demonstrated a linear correlation with PCWP (r = 0.69, P < 0.05). CONCLUSIONS This observational proof-of-concept study using a prototype NIVA device demonstrates a moderate correlation between NIVA value and PCWP in patients undergoing RHC. NIVA, thus, represents a promising developing technology for noninvasive assessment of congestion in spontaneously breathing patients.
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Affiliation(s)
- Bret D Alvis
- Department of Anesthesiology, Division of Critical Care, Vanderbilt University Medical Center, Nashville, TN.
| | - Monica Polcz
- Department of Surgery, Vanderbilt University Medical Center, Nashville, TN
| | - Jessica H Huston
- Department of Medicine, Vanderbilt University Medical Center, Nashville, TN
| | | | - Phil Leisy
- Department of Anesthesiology, Division of Critical Care, Vanderbilt University Medical Center, Nashville, TN
| | - Kelly Mishra
- Department of Anesthesiology, Vanderbilt University Medical Center, Nashville, TN
| | - Susan S Eagle
- Department of Anesthesiology, Vanderbilt University Medical Center, Nashville, TN
| | - Colleen M Brophy
- Department of Surgery, Vanderbilt University Medical Center, Nashville, TN
| | | | - Kyle M Hocking
- Department of Surgery, Vanderbilt University Medical Center, Nashville, TN
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Hernando D, Laguna P, Brophy C, Bailon R, Nardelli M, Hocking K, Lazaro J, Alvis B, Gil E, Scilingo EP, Brophy DR, Valenza G. Effect of yoga on pulse rate variability measured from a venous pressure waveform. ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY. IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY. ANNUAL INTERNATIONAL CONFERENCE 2019; 2019:372-375. [PMID: 31945918 DOI: 10.1109/embc.2019.8856657] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/10/2023]
Abstract
The benefits of yoga have been studied in different fields, from chronic health conditions to mental disorders, showing that it can help to improve the overall health. In particular, it has been proven that yoga also improves the autonomic function. Heart rate variability (HRV) at rest is commonly used as a non-invasive measure of autonomic regulation of heart rate. Alternatively, pulse rate variability (PRV) has been proposed as a surrogate of HRV. VoluMetrix has developed a novel technology that captures venous waveforms via sensors on the volar aspect of the wrist, called NIVAband. This study aims to assess the effect of yoga in the autonomic nervous system by analyzing the PRV obtained from the NIVA signal. Temporal (statistics of the normal-to-normal intervals), spectral (power in low and high frequency bands) and nonlinear (lagged Poincaré Plot analysis) parameters are analyzed before and after a yoga session in 20 healthy volunteers. The PRV analysis shows an increase in parameters related to parasympathetic activity and overall variability, and a decrease in parameters related to sympathetic activity and mean heart rate. These results support the beneficial effect of yoga in autonomic nervous system, increasing the parasympathetic activity.
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Bonasso PC, Sexton KW, Mehl SC, Golinko MS, Hayat MA, Wu J, Jensen MO, Smith SD, Burford JM, Dassinger MS. Lessons learned measuring peripheral venous pressure waveforms in an anesthetized pediatric population. Biomed Phys Eng Express 2019. [DOI: 10.1088/2057-1976/ab0ea8] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
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19
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Miles M, Alvis BD, Hocking K, Baudenbacher F, Guth C, Lindenfeld J, Brophy C, Eagle S. Peripheral Intravenous Volume Analysis (PIVA) for Quantitating Volume Overload in Patients Hospitalized With Acute Decompensated Heart Failure-A Pilot Study. J Card Fail 2018; 24:525-532. [PMID: 29777760 DOI: 10.1016/j.cardfail.2018.05.003] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2017] [Revised: 04/23/2018] [Accepted: 05/11/2018] [Indexed: 12/12/2022]
Abstract
BACKGROUND To determine the feasibility of peripheral intravenous volume analysis (PIVA) of venous waveforms for assessing volume overload in patients admitted to the hospital with acute decompensated heart failure (ADHF). METHODS Venous waveforms were captured from a peripheral intravenous catheter in subjects admitted for ADHF and healthy age-matched controls. Admission PIVA signal, brain natriuretic peptide, and chest radiographic measurements were related to the net volume removed during diuresis. RESULTS ADHF patients had a significantly greater PIVA signal on admission compared with the control group (P = .0013, n = 18). At discharge, ADHF patients had a PIVA signal similar to the control group. PIVA signal, not brain natriuretic peptide or chest radiographic measures, accurately predicted the amount of volume removed during diuresis (R2 = 0.781, n = 14). PIVA signal at time of discharge greater than 0.20, demonstrated 83.3% 120-day readmission rate. CONCLUSIONS This study demonstrates the feasibility of PIVA for assessment of volume overload in patients admitted to the hospital with ADHF.
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Affiliation(s)
- Merrick Miles
- Vanderbilt University Medical Center, Department of Anesthesiology, Division of Critical Care, Nashville, Tennessee
| | - Bret D Alvis
- Vanderbilt University Medical Center, Department of Anesthesiology, Division of Critical Care, Nashville, Tennessee.
| | - Kyle Hocking
- Vanderbilt University Medical Center, Department of Surgery, Nashville, Tennessee
| | - Franz Baudenbacher
- Vanderbilt University, Institute for Integrative Biosystems Research and Education (VIIBRE) Department of Engineering, Nashville, Tennessee
| | - Christy Guth
- Vanderbilt University Medical Center, Department of Surgery, Nashville, Tennessee
| | - Joann Lindenfeld
- Vanderbilt University Medical Center, Department of Medicine, Division of Cardiology, Nashville, Tennessee
| | - Colleen Brophy
- Vanderbilt University Medical Center, Department of Surgery, Nashville, Tennessee
| | - Susan Eagle
- Vanderbilt University Medical Center, Department of Anesthesiology, Division of Cardiac & Thoracic Anesthesia, Nashville, Tennessee
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Bonasso PC, Dassinger MS, Jensen MO, Smith SD, Burford JM, Sexton KW. Optimizing peripheral venous pressure waveforms in an awake pediatric patient by decreasing signal interference. J Clin Monit Comput 2018; 32:1149-1153. [PMID: 29511972 DOI: 10.1007/s10877-018-0124-5] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2018] [Accepted: 03/02/2018] [Indexed: 11/25/2022]
Abstract
The purpose of this technological notes paper is to describe our institution's experience collecting peripheral venous pressure (PVP) waveforms using a standard peripheral intravenous catheter in an awake pediatric patient. PVP waveforms were collected from patients with hypertrophic pyloric stenosis. PVP measurements were obtained prospectively at two time points during the hospitalization: admission to emergency department and after bolus in emergency department. Data was collected from thirty-two patients. Interference in the PVP waveforms data collection was associated with the following: patient or device motion, system set-up error, type of IV catheter, and peripheral intravenous catheter location. PVP waveforms can be collected in an awake pediatric patient and adjuncts to decrease signal interference can be used to optimize data collection.
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Affiliation(s)
- Patrick C Bonasso
- Department of Pediatric Surgery, University of Arkansas for Medical Sciences, Little Rock, USA.
| | - Melvin S Dassinger
- Department of Pediatric Surgery, University of Arkansas for Medical Sciences, Little Rock, USA
| | - Morten O Jensen
- Department of Biomedical Engineering, University of Arkansas, Fayetteville, USA
| | - Samuel D Smith
- Department of Pediatric Surgery, University of Arkansas for Medical Sciences, Little Rock, USA
| | - Jeffrey M Burford
- Department of Pediatric Surgery, University of Arkansas for Medical Sciences, Little Rock, USA
| | - Kevin W Sexton
- Department of Surgery, University of Arkansas for Medical Sciences, Little Rock, USA
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