Facial paralysis objective evaluation method and system thereof

Abstract

A facial paralysis objective evaluation method and system thereof, characterized in that the method comprises the following steps: collecting facial images of patients with facial paralysis through an image acquisition device 1; obtaining facial feature point detection models, and detecting The facial feature points in the facial image are extracted; the facial symmetry feature is extracted according to the detected facial feature points; the facial paralysis grading classifier is obtained, and the facial paralysis grading classifier automatically determines the facial palsy grading evaluation result of the facial paralysis patient according to the facial symmetry feature. The present invention quantifies the facial structure symmetry with the facial symmetry feature, and automatically obtains the facial paralysis grading evaluation result by calculating the facial symmetry feature, thereby eliminating subjective deviation, and can be used to assist clinicians to accurately and quickly obtain the facial paralysis grading evaluation result, Establish a suitable treatment plan for patients with facial paralysis to improve the curative effect of rehabilitation.

Description

【Technical field】 [0001] The invention relates to facial paralysis assessment, in particular to an objective assessment method and system for facial paralysis. 【Background technique】 [0002] Facial paralysis is a kind of common and frequently-occurring disease, and its cardinal symptom is that facial expression muscle group can't carry out normal functional movement. According to the difference of nerve damage position, facial paralysis is divided into peripheral facial paralysis and central. Peripheral facial paralysis is caused by nerve nuclei and damage, and shows as total muscle facial paralysis on the same side of the lesion. This type of paralysis is mostly caused by wind-cold, ear or meningeal infection. Central facial paralysis originates from damage to the position above the facial nerve nucleus, and shows as paralysis of the lower facial muscles on the opposite side of the damaged part, and is more common in cerebrovascular diseases. [0003] Although facial par...

AI Technical Summary

Problems solved by technology

The system can better distinguish patients with facial paralysis and normal people, but it is unable to grade and evaluate patients with facial paralysis. In addition, Hontanilla and Auba proposed a 3D multi-camera acquisition system for facial information calculation. The evaluation results given by this system It is objective and sensitive, and its disadvantage is that it needs to paste markers on the patient's face, so although the evaluation results of

Images