Facial paralysis patient acupuncture treatment effect detection visual system and method based on surface myoelectricity

Abstract

The invention relates to a facial paralysis patient acupuncture treatment effect detection visual system and method based on surface electromyogram (sEMG). The system consists is constructed by connecting a sEMG signal acquiring electrode, a sEMG signal amplifier, a sEMG signal AD (Analog to Digital) converter, a sEMG signal analyzing device and a display in sequence. The method comprises the following steps: acquiring a sEMG signal; amplifying the sEMG signal through the sEMG signal amplifier; transmitting the amplified sEMG signal to the sEMG signal analyzing device through the sEMG signal AD converter for preprocessing; extracting time domain and frequency domain features to construct a feature vector; reducing the dimension of the feature vector by adopting a PCA (Principal Component Analysis) method; calculating a type center distance between a health side and a patient side by using a kmeans clustering method; fitting the type center distance to obtain an AR model; predicting the recovery trend of the patient. By adopting the facial paralysis patient acupuncture treatment effect detection visual system and method, the recovery degrees of muscles on both sides of the face of a facial paralysis patient can be detected accurately under the conditions of freeness from wounds and convenience, the recovery trend of the patient is further predicted, and an auxiliary reference index is provided for clinical treatment of doctors and the rehabilitation effect evaluation of the patient.

Description

technical field [0001] The invention relates to the field of quantitative evaluation equipment for medical rehabilitation effects, in particular to a sEMG-based visualization system and method for detecting the curative effect of acupuncture and moxibustion for patients with facial paralysis. Background technique [0002] Facial paralysis is a common disease characterized by facial expression muscle motor dysfunction. At present, clinical curative effect evaluation of patients with facial paralysis mainly relies on the doctor's treatment experience, and subjective evaluation of the recovery of facial paralysis is carried out by observing the patients' movements such as raising eyebrows, puffing cheeks, pouting, and keeping their nose shut; in addition, the Facial Disability Index (FDI) measures Subjective evaluation scales such as Table [1], House Brackmann facial nerve grading standard [2], Sunnybrook facial nerve grading standard [3] and Yanagihara facial nerve grading sta...

AI Technical Summary

Problems solved by technology

Existing research can only detect sEMG signals of bilateral facial muscles in patients with facial paralysis, but cannot give an accurate degree of recove...

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