Electroencephalogram signal simulation generating device

Abstract

The invention discloses an electroencephalogram signal simulation generating device which mainly comprises an operation unit, a microcontroller unit, an electroencephalogram data input unit, an indication unit, a power supply unit, a signal conversion unit and a signal conditioning output unit. An output end of the operation unit is connected with the microcontroller unit, the microcontroller unitis connected with an input end of the signal conversion unit, the indication unit is connected with the microcontroller unit, the electroencephalogram data input unit is connected with the microcontroller unit, and an output end of the signal conversion unit is connected with an input end of the signal conditioning output unit. The electroencephalogram signal simulation generating device can be used for outputting continuous weak electroencephalogram signals via multiple independent channels; all the multiple independent channels are low in mutual crosstalk and noise; a plurality kinds of man-made noise can be added to the electroencephalogram signals, and requirements for some neuroscience research occasions can be met; electroencephalogram data files which need to be converted can be changed anytime, and operation parameters can be adjusted in real time according to experiment requirements so as to be adapted to different experimental paradigms.

Description

technical field [0001] The invention belongs to the field of biomedicine, and relates to an EEG signal simulation generating device, in particular to an EEG signal simulation generating device for nerve experiment research and detection and calibration of EEG signal collection equipment. Background technique [0002] EEG signals are the overall reflection of the electrophysiological activities of brain nerve cells on the surface of the cerebral cortex or scalp. The signals are weak and complex and changeable, and contain a large amount of physiological and pathological information. The analysis and processing of EEG signals can be used in disease diagnosis, medical rehabilitation, The field of brain-computer interface occupies an important position and plays an important role in understanding, developing and using the brain. [0003] Different from pattern periodic signals such as ECG signals and pulse signals, EEG signals are non-stationary random signals without ergodicity...

AI Technical Summary

Problems solved by technology

[0007] The technical problem to be solved by the present invention is to provide an EEG signal simulation generating device used in the fields of neural experiment research, EEG signal acquisition equipment calibr

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