Abstract
This paper proposes a wide dynamic range (DR) and high-resolution discrete-time (DT) 2-order 4-bit sigma-delta modulator with a novel dynamic-modulated scaling-down (DM-SD) technology for non-invasive electroencephalogram (EEG) acquisition. The DM-SD technology can expand the input dynamic range and suppress large input offsets at the same time. The modulator was designed with 180nm CMOS technology with an area of 0.49 mm2. We achieve a 118.1 dB SNDR when the input signal is 437.5 Hz and the signal bandwidth is 1500 Hz. Due to the proposed DM-SD technology, the DR is expanded to 126 dB. The power consumption of the whole modulator is 1.6 mW and a 177.8 dB Schreier figure-of-merit (FoMs) is realized.
Funder
the National Key Research and Development Program of China
Subject
Electrical and Electronic Engineering,Biochemistry,Instrumentation,Atomic and Molecular Physics, and Optics,Analytical Chemistry
Reference33 articles.
1. EEG-based brain-computer interfaces (BCIs): A survey of recent studies on signal sensing technologies and computational intelligence approaches and their applications;Gu;IEEE/ACM Trans. Comput. Biol. Bioinform.,2021
2. EEG classification of driver mental states by deep learning;Zeng;Cogn. Neurodyn.,2018
3. Time is brain: The use of EEG electrode caps to rapidly diagnose nonconvulsive status epilepticus;McKay;J. Clin. Neurophysiol.,2019
4. Wireless and Wearable EEG System for Evaluating Driver Vigilance;Lin;IEEE Trans. Biomed. Circuits Syst.,2014
5. Vaid, S., Singh, P., and Kaur, C. (2015, January 21–22). EEG Signal Analysis for BCI Interface: A Review. Proceedings of the 2015 Fifth International Conference on Advanced Computing Communication Technologies, Rohtak, India.
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