A wearable ballistocardiogram-electrocardiogram union acquisition system.
10.7507/1001-5515.201705039
- Author:
Lei XIAO
1
;
Hongli LI
2
;
Xianwen ZHANG
3
;
Jintian TANG
3
;
Yuejun LI
4
Author Information
1. School of Electrical Engineering and Automation, Tianjin Polytechnic University, Tianjin 300387, P.R.China.
2. School of Electrical Engineering and Automation, Tianjin Polytechnic University, Tianjin 300387, P.R.China.lihongli@tjpu.edu.cn.
3. Key Laboratory Particle & Radiation Imaging, Ministry of Education, Department of Engineering Physics, Tsinghua University, Beijing 100084, P.R.China.
4. Technology Development Department, Hangshen Group Co., Ltd, Hangzhou 311234, P.R.China.
- Publication Type:Journal Article
- Keywords:
accelerometer;
ballistocardiogram;
electrocardiogram
- From:
Journal of Biomedical Engineering
2018;35(5):727-732
- CountryChina
- Language:Chinese
-
Abstract:
Ballistocardiogram (BCG) and electrocardiogram (ECG) can realize the detection of cardiac function from mechanical and electrical dimensions respectively. By extracting the corresponding characteristic parameters of the two signals and carrying out joint analysis, an important cardiac physiological index such as cardiac contractility, can be reflected. To overcome the shortcomings of complication and heaviness of the existing acquisition equipment, a wearable BCG-ECG signal acquisition system is designed in this paper, which realizes BCG signal acquisition based on accelerometer and ECG signal acquisition based on conductive rubber electrodes. The signals of 6 healthy persons were collected, and BCG signals collected by piezoelectric films were used as reference signals. The waveform characteristics of signals were compared, and the difference of cardiac cycle acquisition was analyzed. The waveform characteristics of the two signals acquired by the device were consistent with the standard signals, and there was no significant difference in the acquisition of the cardiac cycle between the proposed method and the traditional method. The results show that the system can accurately collect human BCG signals and ECG signals. The system provides a basis for subsequent research on BCG signal formation mechanism and health applications.
