Recognition of sub-health state based on Principal Component Analysis

In order to evaluate sub-health state, a new method based on Principal Component Analysis (PCA) was discussed in this paper. Simultaneous multi-information acquisition of ECG signals and pulse images was achieved by using self-designed simultaneous acquisition system. According to the change of grid area in each frame, pulse beat waves were obtained from pulse image. Then the extraction and PCA of ECG and pulse features were realized. Through Linear Discriminant Analysis (LDA) algorithm, the satisfying recognition results of sub-health state´s classification were gained. The results demonstrate the validity and feasibility of this method, which provides a new way for assessing the sub-health state.