High-precision weak EEG (Electro Encephalo Graph) detection digital-analog hybrid control chip system

Abstract

The invention provides a high-precision weak EEG (Electro Encephalo Graph) detection digital-analog hybrid control chip system. The high-precision weak EEG detection digital-analog hybrid control chipsystem is characterized by mainly comprising an amplification filter circuit, an SAR-ADC (Successive Approximation Register-Analog Digital Converter), a digital controller, a radio-frequency circuitand a peripheral circuit; by means of the high-precision weak EEG detection digital-analog hybrid control chip system, the range of the bandwidth of an input signal can be limited; an off-chip filtercomponent is prevented from being used; simultaneously, on one hand, the filter circuit performs chopper amplification bandwidth limiting adjustment and denoising filtering functions; and on the otherhand, the filter circuit provides a frequency pre-anti-aliasing function for the later SAR-ADC circuit. According to the high-precision weak EEG detection digital-analog hybrid control chip system provided by the invention, correction acquisition of EEG signals can be realized; it proves that the designed highly-integrated special high-precision amplification chip and EEG-DSP chip control systemreaches the advanced level at home and abroad; and the high-precision weak EEG detection digital-analog hybrid control chip system has important application value for weak EEG signal extraction and electroencephalogram wearable equipment.

Description

technical field [0001] The invention relates to a digital-analog hybrid control chip system for high-precision weak EEG detection. Background technique [0002] For the diagnosis of brain diseases or symptoms (depression, epilepsy, fatigue, etc.) and the rapid development of brain-computer interface communication, the development of EEG (electro encephalo graph) acquisition chips is of great significance. At present, the research on EEG detection chip in China is in the development stage. Since the EEG signal to be detected is a low-frequency weak signal (<100Hz, 5-100μV), the signal obtained by the sensor is easily disturbed by various noises: the electrode offset voltage caused by the contact between the Ag / AgCl electrode and the brain skin through the conductive paste , external environmental noise (electromagnetic interference noise, etc.) and the inherent noise of the circuit itself (low frequency 1 / f flicker, input DC offset, clock skew, inherent thermal noise, oth...

AI Technical Summary

Problems solved by technology

At present, the mainstream EEG detection equipment is too large and inconvenient to carry, such as: Neuro Scan’s EEG acquisition hardware and data analysis software; in terms of EEG detection chips, the American company Neuro Sky has monopolized in the field of neural signal detection International market; TI's ADS1299 chip has problems such as too small magnification (up to 24 times), high power consumption (integrated 8-channel Δ-Σ ADC on-chip), etc.

[0003] With the development of digital mobile medical care, the future development trend is to need a portable and universal EEG detection equipment, but the current situation is that the existing equipment or chips cannot meet the needs of integration, portability, and miniaturization; At the same time, considering that the chip acquisition system will be applied in the field of portable wearables, therefore, the energy consumption of the chip needs to be as low as possible to improve the battery life of the device or chip

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