Nadi Yantra: a robust system design to capture the signals from the radial artery for assessment of the autonomic nervous system non-invasively

摘要: Ayurvedic and other alternative medical practi-tioners throughout the world have been using pulse diagnosis to detect disease organ at distress by feeling palpations three close yet precise positions of radial artery. This paper presents a robust electro-mechanical system, ‘Nadi Yantra’ which uses piezoelectric based pressure sensors capture signals from Morphology waveforms obtained our system concurs with standard physiological arterial signals. Reproducibility stability has verified. Signal processing techniques were applied obtain features such as amplitude, power spectral density, bandpower centroid reflect variations in channels. Further, wavelet used process percussion peaks identified. The interval between was calculate Heart Rate Varibility (HRV), useful tool for assessing status autonomic nervous human body non-invasively. Time domain indices calculated direct measurement peak-peak (PP) intervals differences PP intervals. Frequency very low frequency (VLF) power, (LF) high (HF) LF/HF ratio also calculated. Thereafter, nonlinear Poincare analysis carried out. A map consecutive fitted an ellipse least squares method. Results 7 datasets are depicted this paper. novel recording instrument is deve loped objective assessment ancient sci-ence diagnosis. multi resolution show potential evaluation body.