The study on the intellectual analysis algorithm for oriental pulse parameters.

Area of Science:

• Digital health
• Traditional East Asian medicine
• Biomedical engineering

Background:

• Pulse diagnosis is a cornerstone of traditional East Asian medicine, relying on subjective interpretation.
• Developing objective and accurate diagnostic tools is crucial for advancing traditional medicine.
• Existing methods lack standardization, leading to variability in clinical opinions.

Purpose of the Study:

• To develop and validate a digital pulse diagnosis system based on a systematic approach.
• To enhance the objectivity and accuracy of pulse diagnosis through quantitative analysis.
• To compare the diagnostic outcomes of the digital system with those of experienced oriental medicine practitioners.

Main Methods:

• Acquired pulse wave data from 60 patients using a sensor-based digital system.
• Measured 12 pulse waves per patient, including superficial and deep readings from three positions (Chon, Kwan, Chuk) on both wrists.
• Analyzed structural elements of pulse waveforms to derive diagnostic parameters.

Main Results:

• The digital pulse diagnosis system achieved a 96.25% identical clinical opinion rate when compared to oriental medicine doctors.
• Analysis of 720 clinical data points demonstrated high concordance between the system and human experts.
• The system successfully identified diagnostic parameters from pulse waveform structures.

Conclusions:

• The developed digital pulse diagnosis system significantly improves diagnostic objectivity and accuracy.
• This technology holds great potential for clinical application in oriental medicine.
• Further research and clinical testing are recommended to establish a comprehensive pulse diagnosis database.