Cognitive disorder electroencephalogram recognition system

Abstract

A cognitive disorder electroencephalogram recognition system comprises an electroencephalogram acquisition circuit, an acquisition control circuit connected with the electroencephalogram acquisition circuit via optical fibers, an acquisition analysis host connected with the acquisition control circuit via a USB port, wherein the acquisition control circuit is configured to send signals received via the optical fibers to the acquisition analysis host through the USB port, a stimulation host display used for providing stimulation signals used for inducting changes of electroencephalogram to a patient, a photosensitive detector mounted to the stimulation host display and used for detecting the stimulation signals together with the electroencephalogram. The photosensitive detector is configured to send the detected stimulation signals to the acquisition analysis host. The acquisition analysis host is configured to extract cognition potential P300 in electroencephalograms in 1-back tasks of work memory of a normal contrast and an apoplexy patient as classification features, and send the classification features to an ensemble learning classifier of a support vector machine to classify the normal contrast and the apoplexy patient. The cognitive disorder electroencephalogram recognition system is available for quantification, easy to achieve and high in precision.

Description

technical field [0001] The invention relates to the field of medical equipment, in particular to an electroencephalogram identification system for cognitive dysfunction. Background technique [0002] Stroke refers to the stenosis, occlusion or rupture of intracerebral arteries caused by various predisposing factors, resulting in cerebral blood circulation disorder, which is clinically manifested as symptoms and signs of brain dysfunction. Stroke not only causes functional impairments such as movement, speech, and swallowing, but more seriously, cognitive impairment of the brain. Cognitive impairment severely affects the activities of daily living in patients, and is especially associated with loss of working memory compared with normal individuals. Therefore, early diagnosis and early intervention of cognitive impairment are of great significance to the recovery of patients' physical and psychological functions and the prevention of dementia. This requires accurate identifi...

AI Technical Summary

Problems solved by technology

The biggest limitation of the scale is that it is too subjective and can only be used as an important reference for diagnosis. In clinical diagnosis, neuroelectrophysiology and other examination results need to be combined. For example, EEG signals based on event-related potentials can well reflect Cognitive impairment, the sensitivity of which goes well beyond scale scores

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