Cerebral stroke feature extraction and intelligent risk prediction method and system based on traditional Chinese medicine inspection diagnosis

• Main Authors: ZHAO CHENQI, JI LUNWEN, LIANG XIN, LI HUIZHI, WANG QIDA, QIANG YAN, ZHAO ZIJUAN, WANG HUAHU
• Format: Patent
• Language: Chinese; English
• Published: 16.11.2021
• Subjects: CALCULATING; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS; COMPUTING; COUNTING; HANDLING RECORD CARRIERS; HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATIONTECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING ORPROCESSING OF MEDICAL OR HEALTHCARE DATA; IMAGE DATA PROCESSING OR GENERATION, IN GENERAL; INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTEDFOR SPECIFIC APPLICATION FIELDS; PHYSICS; PRESENTATION OF DATA; RECOGNITION OF DATA; RECORD CARRIERS

The invention provides a stroke feature extraction and intelligent risk prediction method and system based on traditional Chinese medicine inspection diagnosis. The feature extraction method comprises the steps of obtaining image information of a palm, a face and ears to be detected; performing hand ROI segmentation according to the hand key point model, performing eyebrow ROI segmentation according to the face key point model, and performing earlobe ROI segmentation according to the ear key point model; according to hand ROI segmentation, extracting a lifeline midline passing feature prediction parameter, a ruddy feature prediction parameter, a heave feature prediction parameter and a hypertrophy feature prediction parameter of the hand; according to the eyebrow ROI segmentation, extracting a wrinkle feature prediction parameter of the face; extracting a sloping grain feature prediction parameter of the earlobe according to the earlobe ROI segmentation; summarizing and outputting the lifeline midline passing