Intelligent meridian detection method based on physiological signal fusion

Abstract

The present invention relates to the technical field of intelligent meridian detection and provides an intelligent meridian detection method based on physiological signal fusion. The method includes the following steps: S1: multi-source physiological signal collection: acquiring surface / deep tissue physiological signals related to meridian functions, and covering functional states of meridian running parts; S2: signal preprocessing: removing noise from original signals and extracting effective features related to meridian states; and S3: feature extraction: extracting quantitative features strongly related to the meridian states from preprocessed signals to prepare for fusion. By acquiring surface / deep tissue physiological signals related to meridian functions, covering the functional states of meridian running parts, removing noise from the original signals, extracting effective features related to meridian states, and extracting quantitative features strongly related to meridian states from the preprocessed signals, the method realizes accurate identification of meridian states through the collection, processing and fusion of multi-source physiological signals.

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