Separated dry electrode for electroencephalogram detection

Abstract

The invention discloses a novel dry electrode for electroencephalogram detection based on a spring structure. The novel dry electrode is simple and convenient to use without time-consuming and complicated preparation work, gets rid of the dependency of a traditional electroencephalogram detection electrode on conductive paste and can achieve long-term electroencephalogram detection. The novel dryelectrode adopts a double-layer circuit board and combines with a metal probe to form a closed Faraday cage, an amplifying circuit is located in the cage, and the interference of environmental electromagnetic signals to electroencephalogram signals can be reduced. By adopting a dry electrode and electrode cap separated mode, surface cleaning conducted on the dry electrode can be facilitated, a long electrode or short electrode can be selected according to the demand to adapt to different head sizes and shapes, and the electrode has the wide application prospect on the aspects of neurogenic disease treatment, brain-computer interfaces and limb rehabilitation.

Description

technical field [0001] The invention relates to the field of integrated circuits, in particular to a separate brain electrical stem electrode. Background technique [0002] The development and aging of the brain, learning and memory, and advanced cognitive functions are closely related to humans. Understanding the structure and function of the brain is the ultimate challenge for humans to understand the world and self. Brain research is considered to be the most exciting research field today. It is not only of great theoretical significance, but also has important practical significance for improving the national health level, quality of life, innovation ability, psychological and spiritual state. The key to brain cognition is the detection of brain nerve information. Scalp electroencephalogram signal (EEG) is the cortical potential transmitted by the spontaneous electrical activity of cerebral cortex nerve cell clusters to the scalp. The detection and analysis of EEG signa...

AI Technical Summary

Problems solved by technology

First, the amplitude of the EEG signal is very small, but the output impedance is very high, and contains low-frequency components close to direct current; second, the signal-to-noise ratio of the EEG signal is low, and it is easily affected by power frequency signals, EMG signals and environmental noise; Third, the EEG detection must consider the physiological nature of the subject and ensure the safety of the operation, etc.

At present, wet electrodes are usually used for EEG acquisition. Before the EEG acquisition, the subjects must apply a conductive medium to reduce the ultra-high impedance of the stratum corneum, so that the amplifier can work normally, but this process needs to be carried out with the assistance of outsiders. cost longer

In addition, traditional EEG acquisition systems generally use wired EEG amplification equipment, which is restricted by the environment, and generally can only be used for EEG acquisition on specific occasions

For patients who need EEG testing, it is necessary to go to the EEG testing department of the hospital for special testing. At the same time, due to the aperiodicity of EEG signals, pathological signals in EEG appear randomly. Therefore, in order to obtain accurate diagnostic results, a longer period of EEG is required. This has caused economic burden and time loss to patients, and the long process of seeing a doctor has also brought a huge load to the outpatient department of the hospital.

At present, the existing EEG signal detection electrodes cannot meet the needs of wireless real-time long-term monitoring of EEG signals, and there is an urgent need to research and manufacture new dry electrodes suitable for EEG signal detection in the haired area with high sensitivity and strong stability.

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