Contactless continuous heart rate monitoring system using ballistocardiography

Cardiovascular disease is the number one cause of death in the world and is a serious problem. In the case of cardiopulmonary arrest due to myocardial infarction, the survival rate is as low as 13.3% one month after resuscitation, which birthed the need for continuous heart monitoring. In this study...

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Published inPloS one Vol. 17; no. 7; p. e0272072
Main Authors Sumali, Brian, Mitsukura, Yasue, Nishimura, Toshihiko
Format Journal Article
LanguageEnglish
Published San Francisco Public Library of Science 29.07.2022
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Abstract Cardiovascular disease is the number one cause of death in the world and is a serious problem. In the case of cardiopulmonary arrest due to myocardial infarction, the survival rate is as low as 13.3% one month after resuscitation, which birthed the need for continuous heart monitoring. In this study, we develop a Ballistocardiogram (BCG) measurement system using a load cell installed on a chair and a heart rate estimation algorithm that is robust to waveform changes, with the aim of constructing a non-contact heart rate acquisition system. The proposed system was evaluated by utilizing data obtained from 13 healthy subjects and 1 subject with abnormal ECG who were simultaneously measured with ECG. The output of the BCG system was confirmed to change with the same period as the ECG data obtained as the correct answer, and the synchronization of the R-peak positions was confirmed for all cases. As a result of comparing the heart rate intervals estimated from BCG and those obtained from ECG, it was confirmed that the same heart rate variability (HRV) features could be obtained even for abnormal ECG subject.
AbstractList Cardiovascular disease is the number one cause of death in the world and is a serious problem. In the case of cardiopulmonary arrest due to myocardial infarction, the survival rate is as low as 13.3% one month after resuscitation, which birthed the need for continuous heart monitoring. In this study, we develop a Ballistocardiogram (BCG) measurement system using a load cell installed on a chair and a heart rate estimation algorithm that is robust to waveform changes, with the aim of constructing a non-contact heart rate acquisition system. The proposed system was evaluated by utilizing data obtained from 13 healthy subjects and 1 subject with abnormal ECG who were simultaneously measured with ECG. The output of the BCG system was confirmed to change with the same period as the ECG data obtained as the correct answer, and the synchronization of the R-peak positions was confirmed for all cases. As a result of comparing the heart rate intervals estimated from BCG and those obtained from ECG, it was confirmed that the same heart rate variability (HRV) features could be obtained even for abnormal ECG subject.
Cardiovascular disease is the number one cause of death in the world and is a serious problem. In the case of cardiopulmonary arrest due to myocardial infarction, the survival rate is as low as 13.3% one month after resuscitation, which birthed the need for continuous heart monitoring. In this study, we develop a Ballistocardiogram (BCG) measurement system using a load cell installed on a chair and a heart rate estimation algorithm that is robust to waveform changes, with the aim of constructing a non-contact heart rate acquisition system. The proposed system was evaluated by utilizing data obtained from 13 healthy subjects and 1 subject with abnormal ECG who were simultaneously measured with ECG. The output of the BCG system was confirmed to change with the same period as the ECG data obtained as the correct answer, and the synchronization of the R-peak positions was confirmed for all cases. As a result of comparing the heart rate intervals estimated from BCG and those obtained from ECG, it was confirmed that the same heart rate variability (HRV) features could be obtained even for abnormal ECG subject.Cardiovascular disease is the number one cause of death in the world and is a serious problem. In the case of cardiopulmonary arrest due to myocardial infarction, the survival rate is as low as 13.3% one month after resuscitation, which birthed the need for continuous heart monitoring. In this study, we develop a Ballistocardiogram (BCG) measurement system using a load cell installed on a chair and a heart rate estimation algorithm that is robust to waveform changes, with the aim of constructing a non-contact heart rate acquisition system. The proposed system was evaluated by utilizing data obtained from 13 healthy subjects and 1 subject with abnormal ECG who were simultaneously measured with ECG. The output of the BCG system was confirmed to change with the same period as the ECG data obtained as the correct answer, and the synchronization of the R-peak positions was confirmed for all cases. As a result of comparing the heart rate intervals estimated from BCG and those obtained from ECG, it was confirmed that the same heart rate variability (HRV) features could be obtained even for abnormal ECG subject.
Audience Academic
Author Nishimura, Toshihiko
Sumali, Brian
Mitsukura, Yasue
AuthorAffiliation 2 Department of System Design Engineering, Faculty of Science and Technology, Keio University, Yokohama, Kanagawa, Japan
Universita degli Studi di Pisa, ITALY
1 Keio Global Research Institute, Faculty of Science and Technology, Keio University, Yokohama, Kanagawa, Japan
3 Department of Anesthesia, Stanford University School of Medicine, Stanford, California, United States of America
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CitedBy_id crossref_primary_10_3390_s24186066
crossref_primary_10_3788_CJL231506
crossref_primary_10_1001_jamanetworkopen_2023_28633
crossref_primary_10_1016_j_yofte_2024_104046
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– notice: 2022 Sumali et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
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  start-page: 1
  issue: 3
  year: 2019
  ident: pone.0272072.ref010
  article-title: Unobtrusive estimation of cardiovascular parameters with limb ballistocardiography
  publication-title: Sensors (Switzerland)
– year: 2011
  ident: pone.0272072.ref014
  article-title: Refinement and evaluation of a hydraulic bed sensor
  publication-title: presented at 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Boston
  doi: 10.1109/IEMBS.2011.6091081
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Snippet Cardiovascular disease is the number one cause of death in the world and is a serious problem. In the case of cardiopulmonary arrest due to myocardial...
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StartPage e0272072
SubjectTerms Algorithms
Ballistocardiograms
Ballistocardiography
Bioethics
Biology and Life Sciences
Blood pressure
Cardiovascular disease
Cardiovascular diseases
Coronary vessels
Diagnosis
EKG
Electrocardiography
Evaluation
Heart beat
Heart rate
Load distribution
Measurement
Medicine and Health Sciences
Monitoring
Monitoring systems
Myocardial infarction
Nervous system
Patient monitoring equipment
Physical Sciences
Research and Analysis Methods
Respiration
Resuscitation
Sensors
Social Sciences
Survival
Synchronism
Synchronization
Telemedicine
Waveforms
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Title Contactless continuous heart rate monitoring system using ballistocardiography
URI https://www.proquest.com/docview/2696472784
https://www.proquest.com/docview/2696858974
https://pubmed.ncbi.nlm.nih.gov/PMC9337676
https://doaj.org/article/a00214afb3cb4966a1eb94fe66c081ed
http://dx.doi.org/10.1371/journal.pone.0272072
Volume 17
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