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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...
This study presents a physiological recognition strategy based on HRV-parameter-based recognition strategy. The strategy consists of the following processes: 1) feature generation, 2) feature selection, 3) feature extraction, and 4) classifier construction for recognition. In the feature generation processes, the parameter-based strategy calculates features from five-minute HRV analysis results. In...
In this paper an approach for personal biometric identification is presented based on extraction of ECG features and classification with RBFNN. We perform denoising and segmentation on the input signal, after which we realize dimensionality reduction and feature extraction based on PCA transform. The separability of the selected features is improved by applying LDA. The final stage of the proposed...
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