Wear collection device for removing scalp myoelectric artifacts in EEG signals

Abstract

The invention discloses a wear collection device for removing scalp myoelectric artifacts in EEG signals and belongs to the field of brain wave test storage and processing. Against artifacts caused byincomplete signals and scalp muscle movement caused by unknown contact between a dry electrode and scalp in the current EEG collection, according to the device, a telescopic structure is disposed onthe dry electrode to form EEG and scalp myoelectric sensors, the electrode follows the scalp to move, and two-channel signals, namely EEG signals and scalp myoelectric signals, are collected simultaneously in real time; an on-board processor analyzes EEG and scalp myoelectric signals at each time point in real time, gives the degree value of good contact between the electrode and the scalp, and performs data processing to eliminate the scalp myoelectric artifacts; and the processed EEG signals and the contact degree are uploaded through a wireless module to a client for follow-up processing. The device has the advantages that a hardware part achieves real-time automatic scalp myoelectric artifact removal of the EEG signals, the degree value of good contact between the electrode and the scalp is given accurately, and the wear collection device is of great significance for EEG collection and follow-up study.

Description

technical field [0001] The invention belongs to the field of EEG signal test storage and processing, specifically an EEG and scalp EMG sensor capable of collecting both EEG and scalp EMG signals in real time and at the same time, and the application of the EEG and scalp EMG sensor The wearable acquisition device for removing scalp myoelectric artifacts in EEG signals realizes that the hardware part of the device can remove related artifacts such as scalp muscle movement in EEG signals, output pure EEG signals, and the scalp is in contact with electrodes Good, the device is suitable for the collection, storage and processing of EEG signals in the research field based on EEG data, and meets the urgent need for the acquisition device to directly output pure EEG data. Background technique [0002] Because the scalp EEG signal contains a large amount of human physiological information, the EEG signal provides an important basis for disease diagnosis and prevention, brain function...

AI Technical Summary

Problems solved by technology

In the existing EEG acquisition devices, dry electrodes and wet electrodes are usually used to collect brain waves, and the wet electrodes have slightly better collection effect than dry electrodes, but the time limit is short and the implementation is complicated, so most of them use dry electrodes to collect brain waves; Structures such as electric caps are in direct contact with the scalp, and the slight movement of the subject will cause the dry electrodes to separate from the scalp, resulting in data loss; The signal is uploaded to the host computer for anti-artifact processing, which greatly reduces the research efficiency of EEG signals

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