The invention discloses a
disease feature
processing method based on a PVD acupoint
mathematical model, and particularly relates to the field of
traditional Chinese medicine diagnosis and digital medicines.The method comprises the steps that through an intelligent
system integrating
pressure sensing, physiological
signal collecting and
body position tracking, individualized and self-adaptive
body surface pressure pain point probing is conducted through a
dynamic pressure threshold value and closed-loop
feedback control, and the
body surface pressure pain point probing result is obtained; multi-dimensional data such as space coordinates, pressure, pain intensity, duration and physiological response are synchronously collected; after coordinate
standardization, a PVD acupoint
composite index model fusing distance, intensity, time and physiological signals is constructed, so that a quantitative characteristic spectrum of the
disease is extracted; and finally, the method is used for auxiliary diagnosis and accurate acupoint selection decision. The
dynamic pressure threshold value and closed-loop
feedback control simulate the process that an experienced physician feels and inquires a patient by hand, the problems that a traditional acupoint kneading method is high in subjectivity and single in information dimension are solved, and objective, multi-dimensional and accurate quantitative
processing and intelligent analysis of
traditional Chinese medicine body surface disease characteristics are achieved.