Low-cost and wearable healthcare monitoring system for pulse analysis in Traditional Chinese Medicine

摘要

To meet the increasing needs of home-based healthcare, we propose a novel networked low-cost and wearable healthcare monitoring system, namely TCM-PCA, for pulse analysis in Traditional Chinese Medicine(TCM). The unique innovations of the system are as follows: (1) We propose a novel adaptive features extraction algorithm for pulse waveform to improve physiological feature extraction accuracy of sensed pulse waveform data. (2) We propose a light-weight information fusion framework for human symptom identification according to our previous work. (3) We present a robust external pressure control algorithm for pulse measure to obtain stable pulse waveform data on the pulse-sensor nodes. In this demo, we will demonstrate the working procedure of the system and prove the innovations summarized above.