Abstract
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.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
