Health Care Platform Based on Acquisition of ECG for HRV Analysis
In the measurement of physiological signals, the electro-cardiogram (ECG) is essential to most medical diagnoses related to the heart behavior, which is closely associated with human’s health. In this study, we have developed a health care platform (HCP) which is able to solve the baseline drift problem, detect the heart-rate status, and record the ECG signals. The HCP provides a convenient handheld device to collect ECG signals in moving state from only two conductive electrodes. The device transmits the data to computers through wireless transmission and shows real-time user’s status including spectrum analysis and Fourier transform. In this paper, the HRV analysis is divided into two parts, one is time-domain analysis in HCP and frequency-domain analysis in PC. The experimental results analyze the life-behavior patterns of tested subjects that may affect HRV parameters (HF, LF and HF/LF) so that one may achieve the task of disease prevention and health management.
ECG HRV Real-time Healthcare
Yong-Hong Hsu Chun-Liang Lin Ching-Kun Chen Cheng-Tang Chiang Wen-Tsan Yang
Department of ElectricalEngineering,National Chung Hsing University,Taichung, Taiwan, R.O.C. Boson Technology Co., LTD,Taichung, Taiwan, R.O.C. Department of Automatic Control Engineering Feng Chia University Taichung, Taiwan, R.O.C.
国际会议
IEEE 10th International Conference on Industrial Informatics(第十届IEEE工业信息学国际学术会议 INDIN2012)
北京
英文
464-469
2012-07-25（万方平台首次上网日期，不代表论文的发表时间）