A 124 dB dynamic range sigma-delta modulator applied to non-invasive EEG acquisition using chopper-modulated input-scaling-down technique
With the advancement of brain science in recent years, the non-invasive brain-computer interfaces (BCIs) based on electroencephalogram (EEG) acquisition have been widely adopted in various brain-inspired applications. The acquisition of multi-channel microvolts EEG signals corrupted by the motion ar...
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Published in | Science China. Information sciences Vol. 65; no. 4; p. 140402 |
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Main Authors | , , , , , |
Format | Journal Article |
Language | English |
Published |
Beijing
Science China Press
01.04.2022
Springer Nature B.V |
Subjects | |
Online Access | Get full text |
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Summary: | With the advancement of brain science in recent years, the non-invasive brain-computer interfaces (BCIs) based on electroencephalogram (EEG) acquisition have been widely adopted in various brain-inspired applications. The acquisition of multi-channel microvolts EEG signals corrupted by the motion artifacts (MAs) of up to several volts poses enormous challenges to the design of analog front-end (AFE), especially the analog-to-digital converter (ADC), which is necessary to achieve low noise, wide dynamic range (DR), high accuracy as well as low power. In this paper, a wide DR ΣΔ modulator with chopper-modulated input-scaling-down (CM-ISD) technique has been proposed to deal with large input offset while extending dynamic range. Fabricated in 180 nm CMOS technology, the prototype occupies a core area of 0.32 mm
2
. With a 40 Hz input signal and 125 Hz Nyquist bandwidth, the measured signal-to-noise ratio (SNR) and signal-to-noise and distortion ratio (SNDR) are 117 and 110 dB, respectively. Thanks to the proposed CM-ISD technique, the modulator is capable of withstanding a full-scale (4.5 V
pp
) input whereas the measured DR has been extended from 99 to 124 dB. The power consumption is 2.75 mW under 5 V supply voltage, corresponding to 170.6 dB Schreier figure-of-merit (FoM
S
). The multi-channel EEG acquisition has been demonstrated based on the proposed modulator, showing its potential in advanced non-invasive BCI systems. |
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ISSN: | 1674-733X 1869-1919 |
DOI: | 10.1007/s11432-021-3401-6 |