With the ever-increasing number of diseases in today’s world, there is a need for a system to provide early diagnosis of human health. Indian and Chinese traditional medicine and natural healing system provides natural and simple solutions in detecting health issues. Nadi-Nidan (pulse-based diagnosis) or Nadi Pariksha is an ancient medical technique, traced back to ancient Indian and Chinese literature. Nadi-Nidan is an important method in Indian traditional health monitoring, known to indicate all the health features of a human body. In Nadi Pariksha wrist pulses or arterial pulses are sensed to diagnose about this health status. This research was aimed to design a non-invasive system for wrist pulse analysis to support doctors in routine diagnostic procedures and provide detailed procedure for obtaining the complete set of the Nadi signals as a time series. We analyse the obtained time series signals for features, which provide more insight into this technique. An Ayurveda practitioners and physicians can use this prototype for pulse reading and analysis. The proposed model specifically deals with data acquisition of three Nadi signals: Vata, Pitta and Kapha. Signals are obtained by using PPG sensors. NI myRIO-1900 was used as the data acquisition hardware and LabVIEW (from National Instruments) was used as the software platform.
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