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Pennati F, Angelucci A, Morelli L, Bardini S, Barzanti E, Cavallini F, Conelli A, Di Federico G, Paganelli C, Aliverti A. Electrical Impedance Tomography: From the Traditional Design to the Novel Frontier of Wearables. SENSORS (BASEL, SWITZERLAND) 2023; 23:1182. [PMID: 36772222 PMCID: PMC9921522 DOI: 10.3390/s23031182] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/22/2022] [Revised: 01/16/2023] [Accepted: 01/17/2023] [Indexed: 06/18/2023]
Abstract
Electrical impedance tomography (EIT) is a medical imaging technique based on the injection of a current or voltage pattern through electrodes on the skin of the patient, and on the reconstruction of the internal conductivity distribution from the voltages collected by the electrodes. Compared to other imaging techniques, EIT shows significant advantages: it does not use ionizing radiation, is non-invasive and is characterized by high temporal resolution. Moreover, its low cost and high portability make it suitable for real-time, bedside monitoring. However, EIT is also characterized by some technical limitations that cause poor spatial resolution. The possibility to design wearable devices based on EIT has recently given a boost to this technology. In this paper we reviewed EIT physical principles, hardware design and major clinical applications, from the classical to a wearable setup. A wireless and wearable EIT system seems a promising frontier of this technology, as it can both facilitate making clinical measurements and open novel scenarios to EIT systems, such as home monitoring.
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2
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Abasi S, Aggas JR, Garayar-Leyva GG, Walther BK, Guiseppi-Elie A. Bioelectrical Impedance Spectroscopy for Monitoring Mammalian Cells and Tissues under Different Frequency Domains: A Review. ACS MEASUREMENT SCIENCE AU 2022; 2:495-516. [PMID: 36785772 PMCID: PMC9886004 DOI: 10.1021/acsmeasuresciau.2c00033] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/04/2022] [Revised: 08/05/2022] [Accepted: 08/05/2022] [Indexed: 05/13/2023]
Abstract
Bioelectrical impedance analysis and bioelectrical impedance spectroscopy (BIA/BIS) of tissues reveal important information on molecular composition and physical structure that is useful in diagnostics and prognostics. The heterogeneity in structural elements of cells, tissues, organs, and the whole human body, the variability in molecular composition arising from the dynamics of biochemical reactions, and the contributions of inherently electroresponsive components, such as ions, proteins, and polarized membranes, have rendered bioimpedance challenging to interpret but also a powerful evaluation and monitoring technique in biomedicine. BIA/BIS has thus become the basis for a wide range of diagnostic and monitoring systems such as plethysmography and tomography. The use of BIA/BIS arises from (i) being a noninvasive and safe measurement modality, (ii) its ease of miniaturization, and (iii) multiple technological formats for its biomedical implementation. Considering the dependency of the absolute and relative values of impedance on frequency, and the uniqueness of the origins of the α-, β-, δ-, and γ-dispersions, this targeted review discusses biological events and underlying principles that are employed to analyze the impedance data based on the frequency range. The emergence of BIA/BIS in wearable devices and its relevance to the Internet of Medical Things (IoMT) are introduced and discussed.
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Affiliation(s)
- Sara Abasi
- Center
for Bioelectronics, Biosensors and Biochips (C3B®), Department
of Biomedical Engineering, Texas A&M
University, 400 Bizzell Street, College Station, Texas 77843, United States
- Cell
Culture Media Services, Cytiva, 100 Results Way, Marlborough, Massachusetts 01752, United States
| | - John R. Aggas
- Center
for Bioelectronics, Biosensors and Biochips (C3B®), Department
of Biomedical Engineering, Texas A&M
University, 400 Bizzell Street, College Station, Texas 77843, United States
- Test
Development, Roche Diagnostics, 9115 Hague Road, Indianapolis, Indiana 46256, United
States
| | - Guillermo G. Garayar-Leyva
- Center
for Bioelectronics, Biosensors and Biochips (C3B®), Department
of Biomedical Engineering, Texas A&M
University, 400 Bizzell Street, College Station, Texas 77843, United States
- Department
of Electrical and Computer Engineering, Texas A&M University, 400 Bizzell Street, College Station, Texas 77843, United States
| | - Brandon K. Walther
- Center
for Bioelectronics, Biosensors and Biochips (C3B®), Department
of Biomedical Engineering, Texas A&M
University, 400 Bizzell Street, College Station, Texas 77843, United States
- Department
of Cardiovascular Sciences, Houston Methodist
Institute for Academic Medicine and Houston Methodist Research Institute, 6670 Bertner Avenue, Houston, Texas 77030, United States
| | - Anthony Guiseppi-Elie
- Center
for Bioelectronics, Biosensors and Biochips (C3B®), Department
of Biomedical Engineering, Texas A&M
University, 400 Bizzell Street, College Station, Texas 77843, United States
- Department
of Electrical and Computer Engineering, Texas A&M University, 400 Bizzell Street, College Station, Texas 77843, United States
- Department
of Cardiovascular Sciences, Houston Methodist
Institute for Academic Medicine and Houston Methodist Research Institute, 6670 Bertner Avenue, Houston, Texas 77030, United States
- ABTECH Scientific,
Inc., Biotechnology Research Park, 800 East Leigh Street, Richmond, Virginia 23219, United
States
- . Tel.: +1(804)347.9363.
Fax: +1(804)347.9363
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Muñoz JD, Mosquera VH, Rengifo CF. A low-cost, portable, two-dimensional bioimpedance distribution estimation system based on the AD5933 impedance converter. HARDWAREX 2022; 11:e00274. [PMID: 35509922 PMCID: PMC9058721 DOI: 10.1016/j.ohx.2022.e00274] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/02/2021] [Revised: 01/25/2022] [Accepted: 02/02/2022] [Indexed: 06/14/2023]
Abstract
This study proposes a low-cost, portable, eight-channel electrical impedance tomograph based on the AD5933 impedance converter. The patterns for current injection and voltage measurement are managed by an Arduino Mega 2560 board and four 74HC4067 Texas Instruments multiplexers. Regarding the experimental results, the errors in the impedance estimates of an electrical circuit that represents a Cole model were less than 1.14% for the magnitude and 4.15% for the phase. Furthermore, the signal-to-noise ratio measured in a resistive phantom was 55.23 dB. Additional experiments consisted of placing five spheres of different size and conductivity in a saline tank, measuring their impedance through eight electrodes, and then generating impedance maps using the Electrical Impedance Tomography and Diffuse Optical Tomography Reconstruction Software (EIDORS). These maps were different for each sphere, suggesting the proposed prototype as a promising alternative for medical applications.
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Affiliation(s)
- Juan D. Muñoz
- Research Group of Automation, Universidad del Cauca, Colombia
| | - Víctor H. Mosquera
- Department of Electronic Instrumentation and Control, Universidad del Cauca, Colombia
| | - Carlos F. Rengifo
- Department of Electronic Instrumentation and Control, Universidad del Cauca, Colombia
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Shi Y, Yang Z, Xie F, Ren S, Xu S. The Research Progress of Electrical Impedance Tomography for Lung Monitoring. Front Bioeng Biotechnol 2021; 9:726652. [PMID: 34660553 PMCID: PMC8517404 DOI: 10.3389/fbioe.2021.726652] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2021] [Accepted: 08/09/2021] [Indexed: 01/16/2023] Open
Abstract
Medical imaging can intuitively show people the internal structure, morphological information, and organ functions of the organism, which is one of the most important inspection methods in clinical medical diagnosis. Currently used medical imaging methods can only be applied to some diagnostic occasions after qualitative lesions have been generated, and the general imaging technology is usually accompanied by radiation and other conditions. However, electrical impedance tomography has the advantages of being noninvasive and non-radiative. EIT (Electrical Impedance Tomography) is also widely used in the early diagnosis and treatment of some diseases because of these advantages. At present, EIT is relatively mature and more and more image reconstruction algorithms are used to improve imaging resolution. Hardware technology is also developing rapidly, and the accuracy of data collection and processing is continuously improving. In terms of clinical application, EIT has also been used for pathological treatment of lungs, the brain, and the bladder. In the future, EIT has a good application prospect in the medical field, which can meet the needs of real-time, long-term monitoring and early diagnosis. Aiming at the application of EIT in the treatment of lung pathology, this article reviews the research progress of EIT, image reconstruction algorithms, hardware system design, and clinical applications used in the treatment of lung diseases. Through the research and introduction of several core components of EIT technology, it clarifies the characteristics of EIT system complexity and its solutions, provides research ideas for subsequent research, and once again verifies the broad development prospects of EIT technology in the future.
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Affiliation(s)
- Yan Shi
- The School of Automation Science and Electrical Engineering, Beihang University, Beijing, China
| | - ZhiGuo Yang
- The School of Automation Science and Electrical Engineering, Beihang University, Beijing, China
| | - Fei Xie
- Department of Pulmonary and Critical Care Medicine, Chinese PLA General Hospital, Beijing, China
| | - Shuai Ren
- The School of Automation Science and Electrical Engineering, Beihang University, Beijing, China
- State Key Laboratory of Fluid Power and Mechatronic Systems, Zhejiang University, Hangzhou, China
| | - ShaoFeng Xu
- The School of Automation Science and Electrical Engineering, Beihang University, Beijing, China
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5
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Lin BS, Yu HR, Kuo YT, Liu YW, Chen HY, Lin BS. Wearable Electrical Impedance Tomography Belt With Dry Electrodes. IEEE Trans Biomed Eng 2021; 69:955-962. [PMID: 34495826 DOI: 10.1109/tbme.2021.3110527] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
Electrical impedance tomography (EIT) is a noninvasive imaging technology used to reconstruct the conductivity distribution in objects and the human body. In recent years, numerous EIT systems and image reconstruction algorithms have been developed. However, most of these EIT systems require conventional electrodes with conductive gels (wet electrodes) and cannot be adapted to different body types, resulting in limited applicability. In this study, a wearable wireless EIT belt with dry electrodes was designed to enable EIT imaging of the human body without using wet electrodes. The specific design of the belt mechanism and dry electrodes provide the advantages of easy wear and adaptation to different body sizes. Additionally, the GaussNewton method was used to optimize the EIT image. Finally, experiments were performed on the phantom and human body to validate the performance of the proposed EIT belt. The results demonstrate that the proposed system can provide accurate location information of the objects in the EIT image and the system can be successfully applied for noninvasive measurement of the human body.
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Navest RJM, Mandija S, Andreychenko A, Raaijmakers AJE, Lagendijk JJW, van den Berg CAT. Understanding the physical relations governing the noise navigator. Magn Reson Med 2019; 82:2236-2247. [PMID: 31317566 PMCID: PMC6771522 DOI: 10.1002/mrm.27906] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2019] [Revised: 05/30/2019] [Accepted: 06/24/2019] [Indexed: 11/28/2022]
Abstract
Purpose The noise navigator is a passive way to detect physiological motion occurring in a patient through thermal noise modulations measured by standard clinical radiofrequency receive coils. The aim is to gain a deeper understanding of the potential and applications of physiologically induced thermal noise modulations. Methods Numerical electromagnetic simulations and MR measurements were performed to investigate the relative contribution of tissue displacement versus modulation of the dielectric lung properties over the respiratory cycle, the impact of coil diameter and position with respect to the body. Furthermore, the spatial motion sensitivity of specific noise covariance matrix elements of a receive array was investigated. Results The influence of dielectric lung property variations on the noise variance is negligible compared to tissue displacement. Coil size affected the thermal noise variance modulation, but the location of the coil with respect to the body had a larger impact. The modulation depth of a 15 cm diameter stationary coil approximately 3 cm away from the chest (i.e. radiotherapy setup) was 39.7% compared to 4.2% for a coil of the same size on the chest, moving along with respiratory motion. A combination of particular noise covariance matrix elements creates a specific spatial sensitivity for motion. Conclusions The insight gained on the physical relations governing the noise navigator will allow for optimized use and development of new applications. An optimized combination of elements from the noise covariance matrix offer new ways of performing, e.g. motion tracking.
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Affiliation(s)
- R J M Navest
- Department of Radiotherapy, University Medical Center Utrecht, Utrecht, Netherlands.,Computational Imaging Group for MRI Diagnostics & Therapy, Centre for Image Sciences, University Medical Center Utrecht, Utrecht, Netherlands
| | - S Mandija
- Department of Radiotherapy, University Medical Center Utrecht, Utrecht, Netherlands.,Computational Imaging Group for MRI Diagnostics & Therapy, Centre for Image Sciences, University Medical Center Utrecht, Utrecht, Netherlands
| | - A Andreychenko
- Department of Radiotherapy, University Medical Center Utrecht, Utrecht, Netherlands.,ITMO University, St. Petersburg, Russian Federation.,Department of Healthcare, Research and Practical Clinical Center of Diagnostics and Telemedicine Technologies of the Moscow, Moscow, Russian Federation
| | - A J E Raaijmakers
- Computational Imaging Group for MRI Diagnostics & Therapy, Centre for Image Sciences, University Medical Center Utrecht, Utrecht, Netherlands.,Department of Radiology, University Medical Center Utrecht, Utrecht, Netherlands.,Deptartment of Biomedical Engineering, Eindhoven University of Technology, Eindhoven, Netherlands
| | - J J W Lagendijk
- Department of Radiotherapy, University Medical Center Utrecht, Utrecht, Netherlands
| | - C A T van den Berg
- Department of Radiotherapy, University Medical Center Utrecht, Utrecht, Netherlands.,Computational Imaging Group for MRI Diagnostics & Therapy, Centre for Image Sciences, University Medical Center Utrecht, Utrecht, Netherlands
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7
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Rapin M, Braun F, Adler A, Wacker J, Frerichs I, Vogt B, Chetelat O. Wearable Sensors for Frequency-Multiplexed EIT and Multilead ECG Data Acquisition. IEEE Trans Biomed Eng 2019; 66:810-820. [DOI: 10.1109/tbme.2018.2857199] [Citation(s) in RCA: 33] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
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Chabin X, Taghli-Lamallem O, Mulliez A, Bordachar P, Jean F, Futier E, Massoullié G, Andonache M, Souteyrand G, Ploux S, Boirie Y, Richard R, Citron B, Lusson JR, Godet T, Pereira B, Motreff P, Clerfond G, Eschalier R. Bioimpedance analysis is safe in patients with implanted cardiac electronic devices. Clin Nutr 2018. [PMID: 29525512 DOI: 10.1016/j.clnu.2018.02.029] [Citation(s) in RCA: 20] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/10/2023]
Abstract
BACKGROUND & AIMS There is an increase in the number of patients worldwide with cardiac implantable electronic devices (CIEDs). Current medical practice guidelines warn against performing bioimpedance analysis (BIA) in this group of patients in order to avoid any electromagnetic interference. These recommendations restrict using the BIA in patients undergoing heart failure or with nutrition disorders in whom BIA could be of major interest in detecting peripheral congestion and to help guide treatment. The present study was conducted to evaluate whether BIA caused electromagnetic interference in patients having CIEDs. METHODS Patient enrollment was conducted during routine face-to-face consultations for scheduled CIEDs interrogations. Device battery voltage, lead impedance, pacing thresholds and device electrograms were recorded before and after each BIA measurement to detect any electromagnetic interference or oversensing. RESULTS A total of 200 patients were enrolled. During BIA, no significant changes in battery voltage, lead impedance or pacing thresholds were detected, nor were there any inappropriate over- or undersensing observed in intracardiac electrograms. Furthermore, 6- and 12-month follow-up did not reveal any changes in CIEDs. CONCLUSIONS This study shows no interference in patients equipped with CIEDs and suggests that BIA can be securely performed in these patients. Trial registered under the identifier NCT03045822.
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Affiliation(s)
- Xavier Chabin
- Université Clermont Auvergne, Cardio Vascular Interventional Therapy and Imaging (CaVITI), Image Science for Interventional Techniques (ISIT), UMR6284, and CHU Clermont-Ferrand, Cardiology Department, F-63003 Clermont-Ferrand, France
| | - Ouarda Taghli-Lamallem
- Université Clermont Auvergne, Cardio Vascular Interventional Therapy and Imaging (CaVITI), Image Science for Interventional Techniques (ISIT), UMR6284, and CHU Clermont-Ferrand, Cardiology Department, F-63003 Clermont-Ferrand, France
| | - Aurélien Mulliez
- CHU Clermont-Ferrand, Biostatistics Unit (Clinical Research and Innovation Direction), F-63000 Clermont-Ferrand, France
| | - Pierre Bordachar
- Hôpital Cardiologique du Haut-Lévêque, CHU Bordeaux, Université Bordeaux, IHU LIRYC, Bordeaux, France
| | - Frédéric Jean
- Université Clermont Auvergne, Cardio Vascular Interventional Therapy and Imaging (CaVITI), Image Science for Interventional Techniques (ISIT), UMR6284, and CHU Clermont-Ferrand, Cardiology Department, F-63003 Clermont-Ferrand, France
| | - Emmanuel Futier
- Department of Perioperative Medicine, Anesthesiology and Critical Care Medicine, Estaing Hospital, University Hospital of Clermont-Ferrand and CNRS, Inserm U1103, GreD, Clermont-Ferrand, France
| | - Grégoire Massoullié
- Université Clermont Auvergne, Cardio Vascular Interventional Therapy and Imaging (CaVITI), Image Science for Interventional Techniques (ISIT), UMR6284, and CHU Clermont-Ferrand, Cardiology Department, F-63003 Clermont-Ferrand, France
| | - Marius Andonache
- Université Clermont Auvergne, Cardio Vascular Interventional Therapy and Imaging (CaVITI), Image Science for Interventional Techniques (ISIT), UMR6284, and CHU Clermont-Ferrand, Cardiology Department, F-63003 Clermont-Ferrand, France
| | - Géraud Souteyrand
- Université Clermont Auvergne, Cardio Vascular Interventional Therapy and Imaging (CaVITI), Image Science for Interventional Techniques (ISIT), UMR6284, and CHU Clermont-Ferrand, Cardiology Department, F-63003 Clermont-Ferrand, France
| | - Sylvain Ploux
- Hôpital Cardiologique du Haut-Lévêque, CHU Bordeaux, Université Bordeaux, IHU LIRYC, Bordeaux, France
| | - Yves Boirie
- Nutrition Department, CHU Clermont-Ferrand, F-63003 Clermont-Ferrand, France
| | - Ruddy Richard
- Nutrition Department, CHU Clermont-Ferrand, F-63003 Clermont-Ferrand, France
| | - Bernard Citron
- Université Clermont Auvergne, Cardio Vascular Interventional Therapy and Imaging (CaVITI), Image Science for Interventional Techniques (ISIT), UMR6284, and CHU Clermont-Ferrand, Cardiology Department, F-63003 Clermont-Ferrand, France
| | - Jean-R Lusson
- Université Clermont Auvergne, Cardio Vascular Interventional Therapy and Imaging (CaVITI), Image Science for Interventional Techniques (ISIT), UMR6284, and CHU Clermont-Ferrand, Cardiology Department, F-63003 Clermont-Ferrand, France
| | - Thomas Godet
- Department of Perioperative Medicine, Anesthesiology and Critical Care Medicine, Estaing Hospital, University Hospital of Clermont-Ferrand and CNRS, Inserm U1103, GreD, Clermont-Ferrand, France
| | - Bruno Pereira
- CHU Clermont-Ferrand, Biostatistics Unit (Clinical Research and Innovation Direction), F-63000 Clermont-Ferrand, France
| | - Pascal Motreff
- Université Clermont Auvergne, Cardio Vascular Interventional Therapy and Imaging (CaVITI), Image Science for Interventional Techniques (ISIT), UMR6284, and CHU Clermont-Ferrand, Cardiology Department, F-63003 Clermont-Ferrand, France
| | - Guillaume Clerfond
- Université Clermont Auvergne, Cardio Vascular Interventional Therapy and Imaging (CaVITI), Image Science for Interventional Techniques (ISIT), UMR6284, and CHU Clermont-Ferrand, Cardiology Department, F-63003 Clermont-Ferrand, France
| | - Romain Eschalier
- Université Clermont Auvergne, Cardio Vascular Interventional Therapy and Imaging (CaVITI), Image Science for Interventional Techniques (ISIT), UMR6284, and CHU Clermont-Ferrand, Cardiology Department, F-63003 Clermont-Ferrand, France.
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9
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Zhou Y, Li X. Multifrequency time difference EIT imaging of cardiac activities. Biomed Signal Process Control 2017. [DOI: 10.1016/j.bspc.2017.05.012] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
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10
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Saporito S, Dovancescu S, Herold IHF, van den Bosch HCM, van Assen HC, Aarts RM, Korsten HHM, Mischi M. Comparison of cardiac magnetic resonance imaging and bio-impedance spectroscopy for the assessment of fluid displacement induced by external leg compression. Physiol Meas 2016; 38:15-32. [DOI: 10.1088/1361-6579/38/1/15] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
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11
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Ron A, Abboud S, Arad M. Home monitoring of bone density in the wrist—a parametric EIT computer modeling study. Biomed Phys Eng Express 2016. [DOI: 10.1088/2057-1976/2/3/035002] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
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12
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Cuba-Gyllensten I, Gastelurrutia P, Bonomi AG, Riistama J, Bayes-Genis A, Aarts RM. A method to adapt thoracic impedance based on chest geometry and composition to assess congestion in heart failure patients. Med Eng Phys 2016; 38:S1350-4533(16)30021-2. [PMID: 27150235 DOI: 10.1016/j.medengphy.2016.03.002] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2015] [Revised: 01/18/2016] [Accepted: 03/06/2016] [Indexed: 11/28/2022]
Abstract
Multi-frequency trans-thoracic bioimpedance (TTI) could be used to track fluid changes and congestion of the lungs, however, patient specific characteristics may impact the measurements. We investigated the effects of thoracic geometry and composition on measurements of TTI and developed an equation to calculate a personalized fluid index. Simulations of TTI measurements for varying levels of chest circumference, fat and muscle proportion were used to derive parameters for a model predicting expected values of TTI. This model was then adapted to measurements from a control group of 36 healthy volunteers to predict TTI and lung fluids (fluid index). Twenty heart failure (HF) patients treated for acute HF were then used to compare the changes in the personalized fluid index to symptoms of HF and predicted TTI to measurements at hospital discharge. All the derived body characteristics affected the TTI measurements in healthy volunteers and together the model predicted the measured TTI with 8.9% mean absolute error. In HF patients the estimated TTI correlated well with the discharged TTI (r=0.73,p <0.001) and the personalized fluid index followed changes in symptom levels during treatment. However, 37% (n=7) of the patients were discharged well below the model expected value. Accounting for chest geometry and composition might help in interpreting TTI measurements.
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Affiliation(s)
- Illapha Cuba-Gyllensten
- Department of Chronic Disease Management, Philips Research, Eindhoven, the Netherlands; Department of Electrical Engineering, Eindhoven University of Technology, Eindhoven, the Netherlands.
| | - Paloma Gastelurrutia
- ICREC Research Program, Fundació Institut d'Investigació en Ciències de la Salut Germans Trias i Pujol (IGTP), Badalona, Spain
| | - Alberto G Bonomi
- Department of Chronic Disease Management, Philips Research, Eindhoven, the Netherlands
| | - Jarno Riistama
- Department of Chronic Disease Management, Philips Research, Eindhoven, the Netherlands
| | - Antoni Bayes-Genis
- ICREC Research Program, Fundació Institut d'Investigació en Ciències de la Salut Germans Trias i Pujol (IGTP), Badalona, Spain; Department of Medicine, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Ronald M Aarts
- Department of Chronic Disease Management, Philips Research, Eindhoven, the Netherlands; Department of Electrical Engineering, Eindhoven University of Technology, Eindhoven, the Netherlands
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13
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Malfatto G, Villani A, Rosa FD, Rella V, Oldani M, Giglio A, Facchini M, Parati G. Correlation between trans and intra-thoracic impedance and conductance in patients with chronic heart failure. J Cardiovasc Med (Hagerstown) 2016; 17:276-82. [DOI: 10.2459/jcm.0000000000000177] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
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14
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Ayati SB, Bouazza-Marouf K, Kerr D. In vitro localisation of intracranial haematoma using electrical impedance tomography semi-array. Med Eng Phys 2015; 37:34-41. [DOI: 10.1016/j.medengphy.2014.10.001] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2013] [Revised: 09/07/2014] [Accepted: 10/01/2014] [Indexed: 11/27/2022]
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15
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Khalil SF, Mohktar MS, Ibrahim F. The theory and fundamentals of bioimpedance analysis in clinical status monitoring and diagnosis of diseases. SENSORS 2014; 14:10895-928. [PMID: 24949644 PMCID: PMC4118362 DOI: 10.3390/s140610895] [Citation(s) in RCA: 276] [Impact Index Per Article: 27.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/08/2014] [Revised: 06/03/2014] [Accepted: 06/04/2014] [Indexed: 12/13/2022]
Abstract
Bioimpedance analysis is a noninvasive, low cost and a commonly used approach for body composition measurements and assessment of clinical condition. There are a variety of methods applied for interpretation of measured bioimpedance data and a wide range of utilizations of bioimpedance in body composition estimation and evaluation of clinical status. This paper reviews the main concepts of bioimpedance measurement techniques including the frequency based, the allocation based, bioimpedance vector analysis and the real time bioimpedance analysis systems. Commonly used prediction equations for body composition assessment and influence of anthropometric measurements, gender, ethnic groups, postures, measurements protocols and electrode artifacts in estimated values are also discussed. In addition, this paper also contributes to the deliberations of bioimpedance analysis assessment of abnormal loss in lean body mass and unbalanced shift in body fluids and to the summary of diagnostic usage in different kinds of conditions such as cardiac, pulmonary, renal, and neural and infection diseases.
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Affiliation(s)
- Sami F Khalil
- Department of Biomedical Engineering, Faculty of Engineering, University of Malaya, 50603 Kuala Lumpur, Malaysia.
| | - Mas S Mohktar
- Department of Biomedical Engineering, Faculty of Engineering, University of Malaya, 50603 Kuala Lumpur, Malaysia.
| | - Fatimah Ibrahim
- Department of Biomedical Engineering, Faculty of Engineering, University of Malaya, 50603 Kuala Lumpur, Malaysia.
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16
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Pesin J, Faingersh A, Waisman D, Landesberg A. Highly sensitive monitoring of chest wall dynamics and acoustics provides diverse valuable information for evaluating ventilation and diagnosing pneumothorax. J Appl Physiol (1985) 2014; 116:1632-40. [DOI: 10.1152/japplphysiol.00966.2013] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022] Open
Abstract
Current practice of monitoring lung ventilation in neonatal intensive care units, utilizing endotracheal tube pressure and flow, end-tidal CO2, arterial O2 saturation from pulse oximetry, and hemodynamic indexes, fails to account for asymmetric pathologies and to allow for early detection of deteriorating ventilation. This study investigated the utility of bilateral measurements of chest wall dynamics and sounds, in providing early detection of changes in the mechanics and distribution of lung ventilation. Nine healthy New Zealand rabbits were ventilated at a constant pressure, while miniature accelerometers were attached to each side of the chest. Slowly progressing pneumothorax was induced by injecting 1 ml/min air into the pleural space on either side of the chest. The end of the experiment ( tPTX) was defined when arterial O2 saturation from pulse oximetry dropped <90% or when vigorous spontaneous breathing began, since it represents the time of clinical detection using common methods. Consistent and significant changes were observed in 15 of the chest dynamics parameters. The most meaningful temporal changes were noted for features extracted from subsonic dynamics (<10 Hz), e.g., tidal amplitude, energy, and autoregressive poles. Features from the high-frequency band (10–200 Hz), e.g., energy and entropy, exhibited smaller but significant changes. At 70% tPTX, identification of asymmetric ventilation was attained for all animals. Side identification of the pneumothorax was achieved at 50% tPTX, within a 95% confidence interval. Diagnosis was, on average, 34.1 ± 18.8 min before tPTX. In conclusion, bilateral monitoring of the chest dynamics and acoustics provide novel information that is sensitive to asymmetric changes in ventilation, enabling early detection and localization of pneumothorax.
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Affiliation(s)
- Jimy Pesin
- Faculty of Biomedical Engineering, Technion, Israel Institute of Technology, Haifa, Israel
| | - Anna Faingersh
- Faculty of Biomedical Engineering, Technion, Israel Institute of Technology, Haifa, Israel
| | - Dan Waisman
- Faculty of Biomedical Engineering, Technion, Israel Institute of Technology, Haifa, Israel
- Department of Neonatology, Carmel Medical Center, and Faculty of Medicine, Technion, Haifa, Israel
| | - Amir Landesberg
- Faculty of Biomedical Engineering, Technion, Israel Institute of Technology, Haifa, Israel
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Sanchez B, Vandersteen G, Martin I, Castillo D, Torrego A, Riu PJ, Schoukens J, Bragos R. In vivo electrical bioimpedance characterization of human lung tissue during the bronchoscopy procedure. A feasibility study. Med Eng Phys 2013; 35:949-57. [DOI: 10.1016/j.medengphy.2012.09.004] [Citation(s) in RCA: 30] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2012] [Revised: 09/06/2012] [Accepted: 09/10/2012] [Indexed: 11/28/2022]
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18
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Aguilar N, Cadena M, Sacristán E, Bravo C, Santillán P, Cardenas C. Lung water assessment in isolated lung perfusion model via reactance monitoring. ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY. IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY. ANNUAL INTERNATIONAL CONFERENCE 2011; 2011:47-50. [PMID: 22254247 DOI: 10.1109/iembs.2011.6089893] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/31/2023]
Abstract
The aim of this work was to build up a new monitoring technique for the lung preservation. The medical aside problem is to measure the integrity and functionality of the lung tissue, specifically at cellular preservation level in order to improve the survival time until it is grafted. The Impedance monitoring technique for diagnosis edema development is the key in this new technique. The hypothesis was that lung edema formation is highly correlated with the reactance changes so that a rat lung perfusion model was considered as a good model to produce edema in vitro. To prove that pulmonary edema can be induced increasing the venous pressure and the perfusion time, the reactance and hemodynamic parameters were recorder in 16 pulmonary blocks of Wistar rats as methodology. Results showed statistical changes in each pulmonary block weight as a consequence to apply 7.5 ± 1.2 and 10.2 ± 1.7 mmHg venous pressure (multiple samples, Anova, p<0.05). These edema weights were correlated with the reactance changes giving 0.6 (p<0.05, Pearson). Also, data analysis showed significant differences in reactance with the time of perfusion at 16, 30, and 50 min when venous pressure level were intermittent switched from 7.5 to 10.2 mmHg. The conclusion was this preliminary evidence sustains that reactance measurement is a good technique for monitoring the lung edema level in rats. However, more research should be continuing in bigger animal models in order to prove the validity and application of this monitoring technique in human lungs.
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Affiliation(s)
- N Aguilar
- Universidad Autónoma Metropolitana, México City. ab.nade@ gmail.com
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19
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Nicht-invasives kontinuierliches Monitoring. BIOMED ENG-BIOMED TE 2010. [DOI: 10.1515/bmt.2010.714] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
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20
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Arad M, Zlochiver S, Davidson T, Shovman O, Shoenfeld Y, Adunsky A, Abboud S. Estimating pulmonary congestion in elderly patients using bio-impedance technique: Correlation with clinical examination and X-ray results. Med Eng Phys 2009; 31:959-63. [DOI: 10.1016/j.medengphy.2009.05.008] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2008] [Revised: 03/12/2009] [Accepted: 05/19/2009] [Indexed: 11/27/2022]
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21
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Medición del patrón ventilatorio mediante tomografía por impedancia eléctrica en pacientes con EPOC. Arch Bronconeumol 2009; 45:320-4. [DOI: 10.1016/j.arbres.2009.01.013] [Citation(s) in RCA: 20] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2008] [Revised: 01/23/2009] [Accepted: 01/28/2009] [Indexed: 11/23/2022]
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22
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Balleza M, Calaf N, Feixas T, González M, Antón D, Riu PJ, Casan P. Measuring Breathing Pattern in Patients With Chronic Obstructive Pulmonary Disease by Electrical Impedance Tomography. ACTA ACUST UNITED AC 2009. [DOI: 10.1016/s1579-2129(09)72431-0] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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23
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Arad M, Zlochiver S, Davidson T, Shoenfeld Y, Adunsky A, Abboud S. The detection of pleural effusion using a parametric EIT technique. Physiol Meas 2009; 30:421-8. [DOI: 10.1088/0967-3334/30/4/006] [Citation(s) in RCA: 41] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
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24
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Radai MM, Arad M, Zlochiver S, Krief H, Engelman T, Abboud S. A Novel Telemedicine System for Monitoring Congestive Heart Failure Patients. ACTA ACUST UNITED AC 2008; 14:239-44. [DOI: 10.1111/j.1751-7133.2008.00004.x] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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25
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Freimark D, Arad M, Sokolover R, Zlochiver S, Abboud S. Monitoring lung fluid content in CHF patients under intravenous diuretics treatment using bio-impedance measurements. Physiol Meas 2007; 28:S269-77. [PMID: 17664641 DOI: 10.1088/0967-3334/28/7/s20] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Abstract
A pulmonary edema monitoring system (PulmoTrace, CardioInspect, Tel-Aviv University, Israel) was evaluated for tracking lung resistivity during diuretics treatment in congestive heart failure (CHF) patients. The system incorporates a bio-impedance measurement algorithm and enables, by employing an eight-electrode thoracic belt, the assessment of both the left- and right-lung resistivity values. A clinical study was conducted on a group of 13 CHF patients under intravenous diuretics treatment. The group was measured twice-before the beginning of treatment and following a period of a couple of hours. An increase of 8% of the mean lung resistivity (median value) was found between the two measuring sessions, which indicates a dehydration of the lungs, and a significant correlation (R=0.73, p=0.004) was found between the lung resistivity change and the urine output. In conjunction with previously reported results, which demonstrated the system's reproducibility and long-term monitoring capabilities, this study further supports the diagnostics value of the system.
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Affiliation(s)
- D Freimark
- Department of Cardiology, Sheba Medical Center, Ramat-Gan, Israel
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