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.