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Method for eliminating multi-channel gain error of electroencephalogram signal acquisition system

An EEG signal and gain error technology, applied in medical science, sensors, diagnostic recording/measurement, etc., can solve the problems of large hardware resources, inability to quickly expand multi-channel gain calibration, consumption, etc., and achieve the effect of reducing gain error

Active Publication Date: 2021-12-24
ZHEJIANG LAB
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  • Abstract
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, this method consumes a lot of hardware resources and has the disadvantage of being unable to quickly expand to multi-channel gain calibration

Method used

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  • Method for eliminating multi-channel gain error of electroencephalogram signal acquisition system
  • Method for eliminating multi-channel gain error of electroencephalogram signal acquisition system
  • Method for eliminating multi-channel gain error of electroencephalogram signal acquisition system

Examples

Experimental program
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Embodiment 1

[0071] Example 1: see Figure 2-Figure 3 As shown, the 16-channel EEG signal acquisition system is taken as an example for illustration;

[0072] S1: EEG signals from the 16 collection nodes are collected through the collection electrodes, and the collected EEG signals are transmitted to the input unit through decoupling input capacitors. At the input end of each channel, each of the input units undergoes chopping modulation of the collected EEG signals in the channel to obtain chopper-modulated EEG signals in the channel, and the chopping frequency is . In a 16-channel EEG signal multi-channel acquisition system, the lead mode of sharing the reference electrode is adopted, and the positive terminal of each channel is connected to the reference electrode to collect the reference EEG reference voltage EEG signal, the negative terminal is connected to the working electrode to collect the working EEG reference voltage EEG signals, the EEG signals at the positive end and the...

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Abstract

The invention discloses a method for eliminating multi-channel gain errors of an electroencephalogram signal acquisition system, which comprises an acquisition electrode, a decoupling input capacitor, an input unit, an in-channel chopping modulator, an inter-channel chopping modulator, a fully differential closed-loop amplifier unit, an inter-channel chopping demodulator, an in-channel chopping demodulator, a low-pass filter and an output unit which are sequentially arranged in a channel signal flowing direction, the method comprises the steps of in-channel chopping modulation, multi-stage inter-channel chopping modulation, amplification, multi-stage inter-channel chopping demodulation, in-channel chopping demodulation and low-pass filtering. Gain errors between channels are eliminated, the signal acquisition precision is ensured, and flicker noise in the amplifier is avoided.

Description

technical field [0001] The invention relates to the technical field of integrated circuit design, in particular to a method for eliminating multi-channel gain errors of an EEG signal acquisition system. Background technique [0002] The EEG signal acquisition system usually consists of multiple channels. Each channel collects EEG signals in real time. All channels process the collected EEG signals in parallel. After amplification, filtering, and digitization, the signals of all channels are transmitted to the back-end for digital processing. signal processing. Due to the design process of the acquisition chip and the deviation introduced in the production process, the acquisition gain of each channel is different, and the gain error between channels will affect the back-end signal processing and calculation accuracy. Therefore, eliminating the gain error between multiple channels is an important technical goal in the EEG signal acquisition system. [0003] At present, the ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): A61B5/31
CPCA61B5/31A61B5/7225
Inventor 唐弢
Owner ZHEJIANG LAB
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