A 124 dB dynamic range sigma-delta modulator applied to non-invasive EEG acquisition using chopper-modulated input-scaling-down technique

Chen, Kaiquan; Chen, Mingyi; Cheng, Longlong; Qi, Liang; Wang, Guoxing; Lian, Yong

doi:10.1007/s11432-021-3401-6

Cited by 11 publications

(3 citation statements)

References 32 publications

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“…In the ExG8CH-V1 chip, the high DR 24-bit Σ-∆ ADC is based on a cascade of integrators feedforward and feedback (CIFF-B) architecture [28]. Fig.…”

Section: B High Dynamic Range 24-bit σ-δ Adcmentioning

confidence: 99%

“…In the ExG8CH-V1 chip, the high DR 24-bit \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{upgreek} \usepackage{mathrsfs} \setlength{\oddsidemargin}{-69pt} \begin{document} }{}$\Sigma $ \end{document} - \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{upgreek} \usepackage{mathrsfs} \setlength{\oddsidemargin}{-69pt} \begin{document} }{}$\Delta $ \end{document} ADC is based on a cascade of integrators feedforward and feedback (CIFF-B) architecture [28] . Fig.…”

Section: Circuit Designmentioning

confidence: 99%

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A Novel In-Home Sleep Monitoring System Based on Fully Integrated Multichannel Front-End Chip and Its Multilevel Analyses

Ying

Wang

Zhao

et al. 2023

IEEE J. Transl. Eng. Health Med.

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Objective: A novel in-home sleep monitoring system with an 8-channel biopotential acquisition front-end chip is presented and validated via multilevel data analyses and comparision with advanced polysomnography. Methods and procedures: The chip includes a cascaded low-noise programmable gain amplifier (PGA) and 24-bit Σ-Δ analog-to-digital converter (ADC). The PGA is based on three op-amp structure while the ADC adopts cascade of integrator feedforward and feedback (CIFF-B) architecture. An innovative chopper-modulated input-scaling-down technique enhances the dynamic range. The proposed system and commercial polysomnography were used for in-home sleep monitoring of 20 healthy participants. The consistency and significance of the two groups' data were analyzed. Results: Fabricated in 180 nm BCD technology, the input-referred noise, input impedance, common-mode rejection ratio, and dynamic range of the acquisition front-end chip were 0.89 µVpp, 1.25 GΩ, 113.9 dB, and 119.8 dB. The kappa coefficients between the sleep stage labels of the three scorers were 0.80, 0.76, and 0.79. The consistency of the slowing index, multiscale entropy, and percentile features between the two devices reached 0.958, 0.885, and 0.834. The macro sleep architecture characteristics of the two devices were not significantly different (all p>0.05). Conclusion: The proposed chip was applied to develop an in-home sleep monitoring system with significantly reduced size, power, and cost. Multilevel analyses demonstrated that this system collects stable and accurate in-home sleep data. Clinical impact: The proposed system can be applied for long-term in-home sleep monitoring outside of laboratory environments and sleep disorders screening that with low cost.

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“…In the ExG8CH-V1 chip, the high DR 24-bit Σ-∆ ADC is based on a cascade of integrators feedforward and feedback (CIFF-B) architecture [28]. Fig.…”

Section: B High Dynamic Range 24-bit σ-δ Adcmentioning

confidence: 99%

Section: Circuit Designmentioning

confidence: 99%

A Novel In-Home Sleep Monitoring System Based on Fully Integrated Multichannel Front-End Chip and Its Multilevel Analyses

Ying

Wang

Zhao

et al. 2023

IEEE J. Transl. Eng. Health Med.

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“…From Section 2.2 , we can conclude that the gain of the amplifier of the first stage integrator should be sufficiently large. We use a cross-coupled FFMC amplifier to obtain higher DC gain [ 22 , 23 ]. The schematic diagram of the amplifier is shown in Figure 7 .…”

Section: Circuit Analysis and Implementationmentioning

confidence: 99%

A Wide Dynamic Range Sigma-Delta Modulator for EEG Acquisition Using Randomized DWA and Dynamic-Modulated Scaling-Down Techniques

Han

Liu

Zhang

et al. 2022

Sensors

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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 180 nm 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.

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Active poisoning: efficient backdoor attacks on transfer learning-based brain-computer interfaces

Jiang¹,

Meng²,

Li³

et al. 2023

Sci. China Inf. Sci.

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A 124 dB dynamic range sigma-delta modulator applied to non-invasive EEG acquisition using chopper-modulated input-scaling-down technique

Cited by 11 publications

References 32 publications

A Novel In-Home Sleep Monitoring System Based on Fully Integrated Multichannel Front-End Chip and Its Multilevel Analyses

A Novel In-Home Sleep Monitoring System Based on Fully Integrated Multichannel Front-End Chip and Its Multilevel Analyses

A Wide Dynamic Range Sigma-Delta Modulator for EEG Acquisition Using Randomized DWA and Dynamic-Modulated Scaling-Down Techniques

Active poisoning: efficient backdoor attacks on transfer learning-based brain-computer interfaces

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