High-sensitivity and non-invasive detecting, analyzing and processing system for human brain cortex nerve electric signals

Abstract

The invention relates to a high-sensitivity and non-invasive detecting, analyzing and processing system for human brain cortex nerve electric signals. The high-sensitivity and non-invasive detecting, analyzing and processing system is mainly characterized by comprising a fully-electromagnetic shielding bus transmission electrode cap, a data bus interface signal amplifier, an analog-to-digital converter and a computer. A plurality of fully-electromagnetic shielding short-matrix self-guided self-spread scalp microelectrode array modules are mounted on the fully-electromagnetic shielding bus transmission electrode cap, and each fully-electromagnetic shielding short-matrix self-guided self-spread scalp microelectrode array module comprises a plurality of fully-electromagnetic shielding self-guided self-spread scalp microelectrodes which are arranged according to a certain matrix. The computer performs analyzing and processing through an internal signal data real-time analyzing and processing system. The high-sensitivity and non-invasive detecting, analyzing and processing system has the advantages that the system is reasonable in design, simple to operate, high in interference resistance, non-invasive, accurate, real-time and the like, and a simple, practicable, accurate and reliable solution is provided for the building of a non-invasive human brain computer interface.

Description

technical field [0001] The invention belongs to the technical field of human cerebral cortex neuroelectric signal detection, in particular to a high-sensitivity non-invasive detection, analysis and processing system of human cerebral cortical neuroelectric signal. Background technique [0002] At present, the clinical diagnosis of certain diseases still relies on EEG examination, but the accuracy and sensitivity of EEG examination are affected by the signal attenuation caused by the restriction of electrode materials, the attenuation during the transmission of electrical signals, the electromagnetic interference of the external environment, and information analysis. Restricted by various factors such as means, the details of the obtained EEG signal are missing, and the accuracy and real-time performance are reduced; moreover, the placement and wiring of the scalp electrodes in the EEG examination are also extremely cumbersome, and the scalp electrodes are easily affected by h...

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Problems solved by technology

[0002] At present, the clinical diagnosis of certain diseases still relies on EEG examination, but the accuracy and sensitivity of EEG examination are affected by the signal attenuation caused by the restriction of electrode materials, the attenuation during the transmission of electrical signals, the electromagnetic interference of the external environment, and information analysis. Restricted by various factors such as means, the details of the obtained EEG signal are missing, and the accuracy and real-time performance are reduced; moreover, the placement and wiring of the scalp electrodes in the EEG examination are also extremely cumbersome, and the scalp electrodes are easily affected by hair, scalp oil, dirt, etc. while affecting accuracy

At present, the more advanced magnetoencephalography examination can detect the extremely weak magnetic brain waves of the brain, but it is still not popular because of the harsh requirements of the examination environment and the high cost of examination

In terms of scientific research, the human-brain-computer interface has become a subject of extensive research worldwide, and the key to the human-brain-computer interface technology is how to obtain high-precision, high-sensitivity and real-time EEG signals. The current conventional methods have not achieved good results. As a result, breakthroughs have been made in obtaining electrical signals from the human brain cortex, mostly by implanting electrodes or microchips in the brain. In the animal experiment stage, it will take a long time to promote it to the clinic

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