Time and frequency domain analysis of wrist pulse signals for health diagnosis
作者： Bhaskar Thakker , Anoop Lal Vyas , Diwakar Mani Tripathi
DOI: 10.1504/IJBET.2014.064653
关键词: Signal 、 Health diagnosis 、 Pitta 、 Wrist 、 Artificial intelligence 、 Surgery 、 Computer science 、 Sample entropy 、 Signal processing 、 Pattern recognition 、 Pulse (signal processing) 、 Frequency domain
摘要: Wrist pulse analysis is an approach of health diagnosis described in ancient Indian medicine. This based on the three fingertip palpations observed over radial artery both hands. These identified as Vata, Pitta and Kapha this are by their unique characteristics. The characteristics Vata signals explained irregularity present signal jumping or throbbing nature associated with signal, respectively. In paper, these wrist analysed healthy unhealthy subjects help time frequency domain processing techniques. Several parameters computed correlation established corresponding defined literature. also verified for significant variations states subjects.
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