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 in | PloS one Vol. 17; no. 7; p. e0272072 |
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Main Authors | , , |
Format | Journal Article |
Language | English |
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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. |
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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 |
AuthorAffiliation_xml | – name: 3 Department of Anesthesia, Stanford University School of Medicine, Stanford, California, United States of America – name: 1 Keio Global Research Institute, Faculty of Science and Technology, Keio University, Yokohama, Kanagawa, Japan – name: 2 Department of System Design Engineering, Faculty of Science and Technology, Keio University, Yokohama, Kanagawa, Japan – name: Universita degli Studi di Pisa, ITALY |
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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 |
Cites_doi | 10.1088/0967-3334/30/2/005 10.1007/s11760-018-1372-z 10.3390/s150717115 10.1001/jamacardio.2020.3994 10.1016/0002-9343(50)90287-7 10.21037/atm.2019.06.79 10.1109/TBME.2005.857637 10.1109/TBME.2019.2897952 10.1016/j.tcm.2019.10.010 10.1016/S0924-4247(99)00269-1 10.1007/s13755-019-0071-7 10.1109/JBHI.2018.2825020 10.1109/IEMBS.2011.6091081 |
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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 |
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