Micro-expression recognition-based consciousness assessment method and system

Abstract

The invention discloses a micro-expression recognition-based consciousness assessment method and system. The method comprises the following steps of: configuring a voice stimulation material; the voice stimulation materials are played to the multiple subjects respectively; collecting facial expression image data of each subject when the subject receives the voice stimulation; extracting feature data of each subject from the facial expression image data; training an SVM classifier through the feature data of the plurality of subjects and the corresponding user categories; and obtaining feature data of a user with an unknown category, and inputting the feature data into the trained SVM classifier to obtain a user category corresponding to the user. According to the consciousness assessment method and system based on micro-expression recognition, the consciousness level of a subject can be reflected more directly, the accuracy and convenience of consciousness state judgment are improved, patients who cannot perform magnetic resonance and electroencephalogram can be assessed more accurately, and universality is improved.

Description

technical field [0001] The invention relates to a consciousness assessment method and system based on micro-expression recognition. Background technique [0002] The assessment of consciousness level is an important and difficult point in modern medicine and neuroscience, and has an important impact on the diagnosis and prognosis of patients with acute and chronic disturbance of consciousness. Traditional assessment methods are based on the patient's behavior, such as visual and auditory startle responses, etc., and the Coma Recovery Scale-Revised (CRS-R) is usually used clinically as the gold standard for patient consciousness assessment. Because of the heterogeneity caused by the type, severity, and physiological status of the patient's brain injury, the evaluator's accurate judgment of the level of consciousness is often affected by multiple evaluations. [0003] With the rapid development of neuroelectrophysiology and neuroimaging, the use of EEG and magnetic resonance ...

AI Technical Summary

Problems solved by technology

On the one hand, patients’ feedback to the stimuli under evaluation varies in intensity, and it is difficult for clinical evaluators to catch some fast and weak feedback with the naked eye, resulting in inaccurate evaluation

At the same time, the consciousness assessment of patients with acute and chronic disturbance of consciousness depends on the experience of clinical evaluators, which is difficult to be objective and standardized

On the other hand, after most patients suffered severe brain injury or underwent decompressive craniectomy, their skulls were severely deformed, and metals were implanted in the skull, resulting in limited signal acquisition of EEG and magnetic resonance technology, and a narrow audience

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