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Galvão L, Póvoa TIR, Jardim PCV, Lima AL, Barroso WKS, Seguro CS, Gentil P, Jardim TV. Acute effects of high-intensity resistance training on central blood pressure parameters of elderly hypertensive women: a crossover clinical trial. J Hypertens 2023; 41:912-917. [PMID: 37016923 DOI: 10.1097/hjh.0000000000003355] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/06/2023]
Abstract
OBJECTIVE Assess the acute effects of a high-intensity resistance training session on central blood pressure (CBP) parameters of elderly hypertensive women. METHODS Forty physically active hypertensive women were included in resistance training and control protocols. Resistance training exercises were bench press, leg press and lat pull-down. The resistance training protocol consisted of three sets of 10 repetitions to volitional failure with 90 s of rest between sets. No exercise was performed in the control protocol. CBP parameters were measured in four moments: before (PRE), immediately after (T0), 30 min (T30) and 60 min (T60) following both protocols. RESULTS Resistance training significantly increased central SBP (cSBP) 107.4 ± 16.3 vs. 117.5 ± 16.7), augmentation index ((24.9 ± 12.7 vs. 33.1 ± 12.0), pulse wave velocity (PWV 9.7 ± 1.0 vs. 10.3 ± 1.1), peripheral pulse pressure (pPP 48.5 ± 11.7 vs. 58.9 ± 13.1), central pulse pressure (cPP 38.3 ± 11.6 vs. 46.5 ± 13.1) and amplified pulse pressure (ampPP 10.2 ± 4.2 vs. 12.4 ± 5.6) immediately after exercises. The comparison between groups showed higher values of cSBP (117.5 ± 16.7 vs. 106.3 ± 14.6), augmentation index (20.9 ± 11.0 vs. 33.1 ± 12.0), pPP (46.6 ± 11.0 vs. 58.9 ± 13.1) and cPP (36 ± 10.2 vs. 46.5 ± 13.1) at T0. After 30 min, all variables returned to the baseline values. CONCLUSION High-intensity resistance training session increased CBP parameters immediately after exercises, but those changes were not sustained after 30 min.
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Affiliation(s)
- Luan Galvão
- Hypertension League, Federal University of Goias
| | - Thaís Inácio Rolim Póvoa
- Hypertension League, Federal University of Goias
- School of Physical Education and Therapy (ESEFFEGO), State University of Goias
| | | | | | | | - Camila Simões Seguro
- Faculdade de Educação Física e Dança - Universidade Federal de Goiás, Goiania, Goiás, Brazil
| | - Paulo Gentil
- Faculdade de Educação Física e Dança - Universidade Federal de Goiás, Goiania, Goiás, Brazil
| | - Thiago Veiga Jardim
- Hypertension League, Federal University of Goias
- Harvard TH Chan School of Public Health
- Brigham & Women's Hospital, Boston, Massachusetts, USA
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2
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Feasibility of waveform separation of central aortic pressure pulse based on lognormal flow wave approximation. Biomed Signal Process Control 2022. [DOI: 10.1016/j.bspc.2022.103784] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
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Xu L, Zhou S, Wang L, Yao Y, Hao L, Qi L, Yao Y, Han H, Mukkamala R, Greenwald SE. Improving the accuracy and robustness of carotid-femoral pulse wave velocity measurement using a simplified tube-load model. Sci Rep 2022; 12:5147. [PMID: 35338246 PMCID: PMC8956634 DOI: 10.1038/s41598-022-09256-z] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2021] [Accepted: 03/21/2022] [Indexed: 11/09/2022] Open
Abstract
Arterial stiffness, as measured by pulse wave velocity, for the early non-invasive screening of cardiovascular disease is becoming ever more widely used and is an independent prognostic indicator for a variety of pathologies including arteriosclerosis. Carotid-femoral pulse wave velocity (cfPWV) is regarded as the gold standard for aortic stiffness. Existing algorithms for cfPWV estimation have been shown to have good repeatability and accuracy, however, further assessment is needed, especially when signal quality is compromised. We propose a method for calculating cfPWV based on a simplified tube-load model, which allows for the propagation and reflection of the pulse wave. In-vivo cfPWV measurements from 57 subjects and numerical cfPWV data based on a one-dimensional model were used to assess the method and its performance was compared to three other existing approaches (waveform matching, intersecting tangent, and cross-correlation). The cfPWV calculated using the simplified tube-load model had better repeatability than the other methods (Intra-group Correlation Coefficient, ICC = 0.985). The model was also more accurate than other methods (deviation, 0.13 ms−1) and was more robust when dealing with noisy signals. We conclude that the determination of cfPWV based on the proposed model can accurately and robustly evaluate arterial stiffness.
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Affiliation(s)
- Lisheng Xu
- College of Medicine and Biological Information Engineering, Northeastern University, Shenyang, China. .,Engineering Research Center of Medical Imaging and Intelligent Analysis, Ministry of Education, Shenyang, China. .,Neusoft Research of Intelligent Healthcare Technology, Co. Ltd., Shenyang, China.
| | - Shuran Zhou
- College of Medicine and Biological Information Engineering, Northeastern University, Shenyang, China
| | - Lu Wang
- School of Computer Science and Engineering, Northeastern University, Shenyang, China
| | - Yang Yao
- School of Information Science and Technology, ShanghaiTech University, Shanghai, China
| | - Liling Hao
- College of Medicine and Biological Information Engineering, Northeastern University, Shenyang, China
| | - Lin Qi
- College of Medicine and Biological Information Engineering, Northeastern University, Shenyang, China
| | - Yudong Yao
- College of Medicine and Biological Information Engineering, Northeastern University, Shenyang, China
| | - Hongguang Han
- General Hospital of Northern Theater Command, Shenyang, China.
| | - Ramakrishna Mukkamala
- Department of Bioengineering, Department of Anesthesiology and Perioperative Medicine, University of Pittsburgh, Pittsburgh, USA
| | - Stephen E Greenwald
- Blizard Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, UK
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Sooriamoorthy D, Shanmugam SA, Juman M. A novel electrical impedance function to estimate central aortic blood pressure waveforms. Biomed Signal Process Control 2021. [DOI: 10.1016/j.bspc.2021.102649] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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Zhang P, Liu C, Chen H, Liu J. Reconstruction of Continuous Brachial Arterial Pressure From Continuous Finger Arterial Pressure Using a Two-Level Optimization Strategy. IEEE Trans Biomed Eng 2020; 67:3173-3184. [PMID: 32149618 DOI: 10.1109/tbme.2020.2979249] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
OBJECTIVE We attempt to reconstruct brachial arterial pressure (BAP) waves from finger arterial pressure waves measured using the vascular unloading technique without arm-cuff calibration. A novel method called two-level optimization (TOP) strategy is proposed as follows. METHODS We first derive a simplified transfer function (TF) based on a tube-load model with only two parameters to be estimated, a coefficient B and a time delay ∆t. Then, at level one, two minimization problems are formulated to estimate the optimal coefficient Bopt and time delay ∆topt. Then, we can derive an optimal TF hopt(t). However, this derivation requires true (or reference) BAP waves. Therefore, at level two, we apply multiple linear regression (MLR) to further model the relationship between the derived optimal parameters and subjects' physiologic parameters. Hence, eventually, one can estimate coefficient BMLR and time delay ∆tMLR from subject's physiologic parameters to derive the MLR-based TF hMLR(t) for the BAP reconstruction. RESULTS Twenty-one volunteers were recruited for the data collection. The mean ± standard deviation of the root mean square errors between the reference BAP waves and the BAP waves reconstructed by hopt(t), hMLR(t), and a generalized transfer function (GTF) were 3.46 ± 1.42 mmHg, 3.61 ± 2.28 mmHg, and 6.80 ± 3.73 mmHg (significantly larger with p < 0.01), respectively. CONCLUSIONS The proposed method can be considered as a semi-individualized TF which reconstructs significantly better BAP waves than a GTF. SIGNIFICANCE The proposed TOP strategy can potentially be useful in more general reconstruction of proximal BP waves.
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Xiao H, Qi L, Xu L, Li D, Hu B, Zhao P, Ren H, Huang J. Estimation of wave reflection in aorta from radial pulse waveform by artificial neural network: a numerical study. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE 2019; 182:105064. [PMID: 31518768 DOI: 10.1016/j.cmpb.2019.105064] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/23/2018] [Revised: 08/01/2019] [Accepted: 09/02/2019] [Indexed: 06/10/2023]
Abstract
BACKGROUND AND OBJECTIVE Wave reflection in aorta has been shown to have incremental value for predicting cardiovascular events. However, its estimation by wave separation analysis (WSA) is complex. METHODS In this study, a novel method was proposed based on a cascade artificial neural network (ANN) for wave reflection estimation by the frequency features of radial pressure waveform alone. The simulation database of 4000 samples was generated by a 55-segment transmission line model of human arterial tree and was used for evaluating the ANN with 10-fold cross validation for the estimation of reflection magnitude (RMANN) and reflection index (RIANN) of wave reflection in aorta. RM and RI also were estimated by the WSA with a triangle waveform of aortic flow (RMWSA and RIWSA) and with a real aortic flow waveform (RMRef and RIRef) as reference values. RESULTS The results showed the correlation coefficient and mean difference between RMANN and RMRef (R2 = 0.92, mean ± standard deviation (SD) = 0.0 ± 0.02) and those between RIANN and RIRef (R2 = 0.91, mean ± SD = 0.0 ± 0.01) were better than those between RMWSA and RMRef (R2 = 0.51, mean ± SD = 0.01 ± 0.07) and those between RIWSA and RIRef (R2 = 0.50, mean ± SD = 0.0 ± 0.02). As the sample diversity in the simulation database was increased but the total number of samples keeps constant, the advantage of the ANN, though decreased slightly, became more significant than those of WSA (RMANN VS. RMRef and RIANN VS. RIRef: R2 = 0.88 and 0.88, mean ± SD = 0.0 ± 0.05 and 0.0 ± 0.05; RMWSA VS. RMRef and RIWSA VS. RIRef: R2 = 0.24 and 0.24, mean ± SD = 0.07 ± 0.24 and 0.02 ± 0.08, respectively). In addition, the ANN can achieve better results than the traditional method WSA even only two hidden neurons are used. CONCLUSIONS ANN is a potential method for the estimation of wave reflection in aorta by a single radial pulse waveform, but further validation of this method in clinic trials is needed.
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Affiliation(s)
- Hanguang Xiao
- College of Artificial Intelligent, Chongqing University of Technology, No. 69 Hongguang Rd, Banan, Chongqing 400050, PR China.
| | - Lin Qi
- Sino-Dutch Biomedical and Information Engineering School, Northeastern University, Shenyang, LiaoNing 110167, PR China
| | - Lisheng Xu
- Sino-Dutch Biomedical and Information Engineering School, Northeastern University, Shenyang, LiaoNing 110167, PR China
| | - Decai Li
- Sichuan Mianyang 404 Hospital, No. 56 Yuejing Road, Fucheng District, Mianyang, Sichuan 400050, PR China
| | - Bo Hu
- Sichuan Mianyang 404 Hospital, No. 56 Yuejing Road, Fucheng District, Mianyang, Sichuan 400050, PR China
| | - Pengdong Zhao
- College of Artificial Intelligent, Chongqing University of Technology, No. 69 Hongguang Rd, Banan, Chongqing 400050, PR China
| | - Huijiao Ren
- College of Artificial Intelligent, Chongqing University of Technology, No. 69 Hongguang Rd, Banan, Chongqing 400050, PR China
| | - Jinfeng Huang
- College of Artificial Intelligent, Chongqing University of Technology, No. 69 Hongguang Rd, Banan, Chongqing 400050, PR China
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Mousavi A, Tivay A, Finegan B, McMurtry MS, Mukkamala R, Hahn JO. Tapered vs. Uniform Tube-Load Modeling of Blood Pressure Wave Propagation in Human Aorta. Front Physiol 2019; 10:974. [PMID: 31447687 PMCID: PMC6691050 DOI: 10.3389/fphys.2019.00974] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2019] [Accepted: 07/11/2019] [Indexed: 01/14/2023] Open
Abstract
In this paper, tapered vs. uniform tube-load models are comparatively investigated as mathematical representation for blood pressure (BP) wave propagation in human aorta. The relationship between the aortic inlet and outlet BP waves was formulated based on the exponentially tapered and uniform tube-load models. Then, the validity of the two tube-load models was comparatively investigated by fitting them to the experimental aortic and femoral BP waveform signals collected from 13 coronary artery bypass graft surgery patients. The two tube-load models showed comparable goodness of fit: (i) the root-mean-squared error (RMSE) was 3.3+/−1.1 mmHg in the tapered tube-load model and 3.4+/−1.1 mmHg in the uniform tube-load model; and (ii) the correlation was r = 0.98+/−0.02 in the tapered tube-load model and r = 0.98+/−0.01 mmHg in the uniform tube-load model. They also exhibited frequency responses comparable to the non-parametric frequency response derived from the aortic and femoral BP waveforms in most patients. Hence, the uniform tube-load model was superior to its tapered counterpart in terms of the Akaike Information Criterion (AIC). In general, the tapered tube-load model yielded the degree of tapering smaller than what is physiologically relevant: the aortic inlet-outlet radius ratio was estimated as 1.5 on the average, which was smaller than the anatomically plausible typical radius ratio of 3.5 between the ascending aorta and femoral artery. When the tapering ratio was restricted to the vicinity of the anatomically plausible typical value, the exponentially tapered tube-load model tended to underperform the uniform tube-load model (RMSE: 3.9+/−1.1 mmHg; r = 0.97+/−0.02). It was concluded that the uniform tube-load model may be more robust and thus preferred as the representation for BP wave propagation in human aorta; compared to the uniform tube-load model, the exponentially tapered tube-load model may not provide valid physiological insight on the aortic tapering, and its efficacy on the goodness of fit may be only marginal.
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Affiliation(s)
- Azin Mousavi
- Department of Mechanical Engineering, University of Maryland, College Park, MD, United States
| | - Ali Tivay
- Department of Mechanical Engineering, University of Maryland, College Park, MD, United States
| | - Barry Finegan
- Department of Anesthesiology and Pain Medicine, University of Alberta, Edmonton, AB, Canada
| | | | - Ramakrishna Mukkamala
- Department of Electrical and Computer Engineering, Michigan State University, East Lansing, MI, United States
| | - Jin-Oh Hahn
- Department of Mechanical Engineering, University of Maryland, College Park, MD, United States
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8
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Xiao H, Butlin M, Qasem A, Tan I, Li D, Avolio AP. N-Point Moving Average: A Special Generalized Transfer Function Method for Estimation of Central Aortic Blood Pressure. IEEE Trans Biomed Eng 2019; 65:1226-1234. [PMID: 29787995 DOI: 10.1109/tbme.2017.2710622] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
OBJECTIVE N-point moving average (NPMA) is a simplified method of central aortic systolic pressure (CASP) estimation in comparison with the generalized transfer function (GTF). The fundamental difference or similarity between the methods is not established. This study investigates theoretical properties of NPMA relative to GTF and explores the integer and fractional denominator for the averaging process in the NPMA. METHODS Convolution of a specified square wave and the radial (or brachial) blood pressure waveform constituted the NPMA . A single uniform tube model-based TF (MTF) was employed to investigate potential physiological meaning of NPMA. In experimental analysis, invasive, simultaneously recorded aortic and radial pressure waveforms were obtained in 62 subjects under control conditions and following nitroglycerin administration. CASP was estimated by NPMA (), GTF ( ), and MTF (CASP MTF) from radial waveforms by tenfold cross validation. RESULTS Theoretical analysis showed that NPMA was an inversed constant TF. Its spectrum matched that of MTF in low frequency (<4 Hz for radial and <5 Hz for brachial) by optimizing reflection coefficient and propagation time. Experiment results showed the NPMA optimized fractional denominator of K = 4.4 significantly decreased the mean difference between CASPNPMA and measured CASP to 0.0 ± 4.7 mmHg from -1.8 ± 4.6 mmHg for integer denominator of K = 4. CASPNPMA correlated with CASPMTF and CASP GTF (r2 = 0.99 and 0.97, mean difference: -0.3 ± 1.8 and 0.5 ± 2.7 mmHg). CONCLUSION This study demonstrated that NPMA is similar in nature to the GTF.
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Zhou S, Xu L, Hao L, Xiao H, Yao Y, Qi L, Yao Y. A review on low-dimensional physics-based models of systemic arteries: application to estimation of central aortic pressure. Biomed Eng Online 2019; 18:41. [PMID: 30940144 PMCID: PMC6446386 DOI: 10.1186/s12938-019-0660-3] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2018] [Accepted: 03/26/2019] [Indexed: 12/16/2022] Open
Abstract
The physiological processes and mechanisms of an arterial system are complex and subtle. Physics-based models have been proven to be a very useful tool to simulate actual physiological behavior of the arteries. The current physics-based models include high-dimensional models (2D and 3D models) and low-dimensional models (0D, 1D and tube-load models). High-dimensional models can describe the local hemodynamic information of arteries in detail. With regard to an exact model of the whole arterial system, a high-dimensional model is computationally impracticable since the complex geometry, viscosity or elastic properties and complex vectorial output need to be provided. For low-dimensional models, the structure, centerline and viscosity or elastic properties only need to be provided. Therefore, low-dimensional modeling with lower computational costs might be a more applicable approach to represent hemodynamic properties of the entire arterial system and these three types of low-dimensional models have been extensively used in the study of cardiovascular dynamics. In recent decades, application of physics-based models to estimate central aortic pressure has attracted increasing interest. However, to our best knowledge, there has been few review paper about reconstruction of central aortic pressure using these physics-based models. In this paper, three types of low-dimensional physical models (0D, 1D and tube-load models) of systemic arteries are reviewed, the application of three types of models on estimation of central aortic pressure is taken as an example to discuss their advantages and disadvantages, and the proper choice of models for specific researches and applications are advised.
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Affiliation(s)
- Shuran Zhou
- Sino-Dutch Biomedical and Information Engineering School, Northeastern University, Shenyang, 110819 China
| | - Lisheng Xu
- Sino-Dutch Biomedical and Information Engineering School, Northeastern University, Shenyang, 110819 China
- Neusoft Research of Intelligent Healthcare Technology, Co. Ltd., Shenyang, 110167 China
| | - Liling Hao
- Sino-Dutch Biomedical and Information Engineering School, Northeastern University, Shenyang, 110819 China
| | - Hanguang Xiao
- Chongqing Key Laboratory of Modern Photoelectric Detection Technology and Instrument, School of Optoelectronic Information, Chongqing University of Technology, Chongqing, 400054 China
| | - Yang Yao
- Sino-Dutch Biomedical and Information Engineering School, Northeastern University, Shenyang, 110819 China
| | - Lin Qi
- Sino-Dutch Biomedical and Information Engineering School, Northeastern University, Shenyang, 110819 China
| | - Yudong Yao
- Sino-Dutch Biomedical and Information Engineering School, Northeastern University, Shenyang, 110819 China
- Neusoft Research of Intelligent Healthcare Technology, Co. Ltd., Shenyang, 110167 China
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Ghasemi Z, Lee JC, Kim CS, Cheng HM, Sung SH, Chen CH, Mukkamala R, Hahn JO. Estimation of Cardiovascular Risk Predictors from Non-Invasively Measured Diametric Pulse Volume Waveforms via Multiple Measurement Information Fusion. Sci Rep 2018; 8:10433. [PMID: 29992978 PMCID: PMC6041350 DOI: 10.1038/s41598-018-28604-6] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2017] [Accepted: 06/25/2018] [Indexed: 11/23/2022] Open
Abstract
This paper presents a novel multiple measurement information fusion approach to the estimation of cardiovascular risk predictors from non-invasive pulse volume waveforms measured at the body's diametric (arm and ankle) locations. Leveraging the fact that diametric pulse volume waveforms originate from the common central pulse waveform, the approach estimates cardiovascular risk predictors in three steps by: (1) deriving lumped-parameter models of the central-diametric arterial lines from diametric pulse volume waveforms, (2) estimating central blood pressure waveform by analyzing the diametric pulse volume waveforms using the derived arterial line models, and (3) estimating cardiovascular risk predictors (including central systolic and pulse pressures, pulse pressure amplification, and pulse transit time) from the arterial line models and central blood pressure waveform in conjunction with the diametric pulse volume waveforms. Experimental results obtained from 164 human subjects with a wide blood pressure range (systolic 144 mmHg and diastolic 103 mmHg) showed that the approach could estimate cardiovascular risk predictors accurately (r ≥ 0.78). Further analysis showed that the approach outperformed a generalized transfer function regardless of the degree of pulse pressure amplification. The approach may be integrated with already available medical devices to enable convenient out-of-clinic cardiovascular risk prediction.
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Affiliation(s)
- Zahra Ghasemi
- Department of Mechanical Engineering, University of Maryland, College Park, USA
| | - Jong Chan Lee
- Department of Mechanical Engineering, University of Maryland, College Park, USA
| | - Chang-Sei Kim
- School of Mechanical Engineering, Chonnam National University, Gwangju, South Korea
| | - Hao-Min Cheng
- Department of Medicine, National Yang-Ming University, Taipei City, Taiwan
| | - Shih-Hsien Sung
- Department of Medicine, National Yang-Ming University, Taipei City, Taiwan
| | - Chen-Huan Chen
- Department of Medicine, National Yang-Ming University, Taipei City, Taiwan
| | - Ramakrishna Mukkamala
- Department of Electrical and Computer Engineering, Michigan State University, East Lansing, USA
| | - Jin-Oh Hahn
- Department of Mechanical Engineering, University of Maryland, College Park, USA.
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Zhang P, Qiu Q, Luo Y, Zhou Y, Liu J. A simple method for reconstruction of continuous brachial artery pressure from continuous digital artery pressure in humans. ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY. IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY. ANNUAL INTERNATIONAL CONFERENCE 2017; 2017:1696-1699. [PMID: 29060212 DOI: 10.1109/embc.2017.8037168] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/07/2023]
Abstract
This paper presents a practical approach to reconstruct brachial artery pressure (BAP) distally from digital artery pressure (DAP). We hypothesize that continuous BAP can simply be approximated by sum of two halves of the continuous DAP shifted by the time delay. In order to test it, we enrolled 30 healthy volunteers for two experiments. We firstly showed that the pressure wave in the digital artery can be considered twice as much as the forward/backward wave in the finger. A simplified individualized transfer function was then derived so as to estimate BAP from DAP. Finally, by comparing with a reference BAP, we found that the proposed method can correct the DAP. The errors of the proposed method in estimating systolic and diastolic pressures are 2.82±3.58 and -2.32±4.06 mmHg, respectively. These results agree with the standard of Association for the Advancement of Medical Instrumentation (AAMI). Our method is therefore promising in estimating continuous proximal blood pressure from peripheral blood pressure in practice.
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Sajgalik P, Kremen V, Carlson AR, Fabian V, Kim CH, Wheatley C, Gerla V, Schirger JA, Olson TP, Johnson BD. Noninvasive assessment of cardiac output by brachial occlusion-cuff technique: comparison with the open-circuit acetylene washin method. J Appl Physiol (1985) 2016; 121:1319-1325. [PMID: 27765846 DOI: 10.1152/japplphysiol.00981.2015] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2015] [Revised: 09/29/2016] [Accepted: 10/15/2016] [Indexed: 02/04/2023] Open
Abstract
Cardiac output (CO) assessment as a basic hemodynamic parameter has been of interest in exercise physiology, cardiology, and anesthesiology. Noninvasive techniques available are technically challenging, and thus difficult to use outside of a clinical or laboratory setting. We propose a novel method of noninvasive CO assessment using a single, upper-arm cuff. The method uses the arterial pressure pulse wave signal acquired from the brachial artery during 20-s intervals of suprasystolic occlusion. This method was evaluated in a cohort of 12 healthy individuals (age, 27.7 ± 5.4 yr, 50% men) and compared with an established method for noninvasive CO assessment, the open-circuit acetylene method (OpCirc) at rest, and during low- to moderate-intensity exercise. CO increased from rest to exercise (rest, 7.4 ± 0.8 vs. 7.2 ± 0.8; low, 9.8 ± 1.8 vs. 9.9 ± 2.0; moderate, 14.1 ± 2.8 vs. 14.8 ± 3.2 l/min) as assessed by the cuff-occlusion and OpCirc techniques, respectively. The average error of experimental technique compared with OpCirc was -0.25 ± 1.02 l/min, Pearson's correlation coefficient of 0.96 (rest + exercise), and 0.21 ± 0.42 l/min with Pearson's correlation coefficient of 0.87 (rest only). Bland-Altman analysis demonstrated good agreement between methods (within 95% boundaries); the reproducibility coefficient (RPC) = 0.84 l/min with R2 = 0.75 at rest and RPC = 2 l/min with R2 = 0.92 at rest and during exercise, respectively. In comparison with an established method to quantify CO, the cuff-occlusion method provides similar measures at rest and with light to moderate exercise. Thus, we believe this method has the potential to be used as a new, noninvasive method for assessing CO during exercise.
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Affiliation(s)
- Pavol Sajgalik
- Department of Internal Medicine; Division of Cardiovascular Diseases, Mayo Clinic & Foundation, Rochester, Minnesota; .,1st Department of Internal Medicine, Cardio Angiology-International Clinical Research Center, Masaryk University; Brno, Czech Republic
| | - Vaclav Kremen
- Department of Internal Medicine; Division of Cardiovascular Diseases, Mayo Clinic & Foundation, Rochester, Minnesota.,Czech Institute of Informatics, Robotics, and Cybernetics, Czech Technical University in Prague, Prague, Czech Republic; and
| | - Alex R Carlson
- Department of Internal Medicine; Division of Cardiovascular Diseases, Mayo Clinic & Foundation, Rochester, Minnesota
| | - Vratislav Fabian
- Department of Physics, Czech Technical University in Prague, Prague, Czech Republic
| | - Chul-Ho Kim
- Department of Internal Medicine; Division of Cardiovascular Diseases, Mayo Clinic & Foundation, Rochester, Minnesota
| | - Courtney Wheatley
- Department of Internal Medicine; Division of Cardiovascular Diseases, Mayo Clinic & Foundation, Rochester, Minnesota
| | - Vaclav Gerla
- Czech Institute of Informatics, Robotics, and Cybernetics, Czech Technical University in Prague, Prague, Czech Republic; and
| | - John A Schirger
- Department of Internal Medicine; Division of Cardiovascular Diseases, Mayo Clinic & Foundation, Rochester, Minnesota
| | - Thomas P Olson
- Department of Internal Medicine; Division of Cardiovascular Diseases, Mayo Clinic & Foundation, Rochester, Minnesota
| | - Bruce D Johnson
- Department of Internal Medicine; Division of Cardiovascular Diseases, Mayo Clinic & Foundation, Rochester, Minnesota
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Subject-specific estimation of central aortic blood pressure via system identification: preliminary in-human experimental study. Med Biol Eng Comput 2014; 52:895-904. [DOI: 10.1007/s11517-014-1185-3] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2014] [Accepted: 08/13/2014] [Indexed: 10/24/2022]
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