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Analyzing Wrist Pulse Signals Measured with Polyvinylidene Fluoride Film for Hypertension Identification
Sensors and materials
Keywords: wrist pulse signal, wavelet packet transform, hidden Markov model, local discriminant bases The human wrist pulse signal, which often exhibits nonstationarity, can reflect changes in mechanisms and pathophysiology in the blood and viscera. In this paper, we present an integrated approach for identifying hypertension using the wavelet packet transform (WPT) and continuous hidden Markov models (HMM) to analyze wrist pulse signals. The approach starts with decomposing the wrist pulsedoi:10.18494/sam.2017.1606 fatcat:x4ryimxdhrhttmslhrju5gnepm