Diagnostics using computational Nadi patterns

We present a computational model for the mapping of nadi-patterns (pulse and bioelectrical signals, etc.) using quantitative estimation of the tridosha—the diagnostic feature vector of the natural constitution qualitatively defined in Ayurveda (the Vedic Science of Medicine). Validation results on the healthy and diseased cases show promising applications of this novel technique—derived from a rare, ancient knowledge—in diagnosis and prognosis with special reference to the otherwise nondetectable psychosomatic disorders. Directions for future research and application-development are highlighted.