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A Novel Digital Platform for a Monitored Home-based Cardiac Rehabilitation Program
Published on: April 19, 2019
Contactless continuous heart rate monitoring system using ballistocardiography
Brian Sumali1, Yasue Mitsukura2, Toshihiko Nishimura3
1Keio Global Research Institute, Faculty of Science and Technology, Keio University, Yokohama, Kanagawa, Japan.
Insights
Continuous heart monitoring is crucial for cardiovascular disease survival. This study presents a non-contact Ballistocardiogram (BCG) system that accurately estimates heart rate and heart rate variability (HRV) even with abnormal ECG readings.
Area of Science:
- Biomedical Engineering
- Cardiology
- Physiological Monitoring
Background:
- Cardiovascular disease is the leading global cause of mortality.
- Low survival rates post-myocardial infarction necessitate continuous heart monitoring.
- Existing monitoring methods can be invasive or inconvenient.
Purpose of the Study:
- To develop a non-contact Ballistocardiogram (BCG) measurement system for continuous heart rate acquisition.
- To create a robust heart rate estimation algorithm capable of handling waveform variations.
- To validate the system's efficacy in comparison to electrocardiography (ECG).
Main Methods:
- A BCG measurement system was designed using a chair-integrated load cell.
- A novel heart rate estimation algorithm was developed to address waveform changes.
- Simultaneous BCG and ECG measurements were conducted on 13 healthy subjects and 1 subject with abnormal ECG.
Main Results:
- The BCG system output demonstrated synchronization with ECG R-peak positions.
- Heart rate intervals estimated from BCG correlated with ECG-derived intervals.
- Identical heart rate variability (HRV) features were extracted from both BCG and ECG data, even for the abnormal ECG subject.
Conclusions:
- The developed non-contact BCG system provides accurate heart rate estimation.
- The system is robust to waveform changes and effective even in cases of abnormal ECG.
- This technology holds potential for improved cardiovascular health monitoring.
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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