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This article reports on a compact and low-power CMOS readout circuit for bioelectrical signals based on a second-order delta-sigma modulator. The converter uses a voltage-controlled, oscillator-based quantizer, achieving second-order noise shaping with a single opamp-less integrator and minimal analog circuitry. A prototype has been implemented using 0.18 μm CMOS technology and includes two different variants of the same modulator topology. The main modulator has been optimized for low-noise, neural-action-potential detection in the 300 Hz-6 kHz band, with an input-referred noise of 5.0 μV, and occupies an area of 0.0045 mm. An alternative configuration features a larger input stage to reduce low-frequency noise, achieving 8.7 μV in the 1 Hz-10 kHz band, and occupies an area of 0.006 mm. The modulator is powered at 1.8 V with an estimated power consumption of 3.5 μW.
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http://dx.doi.org/10.3390/s21196456 | DOI Listing |
IEEE Trans Biomed Circuits Syst
April 2025
This article presents a direct-digitization analog front end (DD-AFE) with enhanced input-impedance, common-mode rejection ratio (CMRR), and dynamic range (DR) for wearable biopotential (ExG) signal acquisition, especially for small-diameter dry electrodes. The DD-AFE employs a second-order continuous-time delta-sigma modulator (CT-ΔSM) and multiple circuit techniques to support direct-digitization readouts. These include 1) A high input-impedance input feedforward (FF), embedded in a 4-input 4-bit successive approximation register (SAR) quantizer.
View Article and Find Full Text PDFSensors (Basel)
December 2024
Electronics Technology Department, University of Madrid Carlos III, 28911 Leganes, Spain.
This paper explores the implementation of a VCO-based ADC, achieving an ENOB of 12 bits with 1 MHz of a sampling rate in the audio bandwidth. The solution exploits the scalability and PVT invariance of a novel digital-to-frequency converter to reduce the size and consumed power. The architecture has been validated in a 130 nm CMOS technology node displaying a power consumption of 105.
View Article and Find Full Text PDFIEEE Trans Biomed Circuits Syst
October 2024
Non-invasive, closed-loop brain modulation offers an accessible and cost-effective means of evaluating and modulating one's mental and physical well-being, such as Parkinson's disease, epilepsy, and sleep disorders. However, wearable EEG systems pose significant challenges for the analog front-end (AFE) circuits in view of µV-level EEG signals of interest, multiple sources of interference, and ill-defined skin contact. This paper presents a direct-digitization AFE tailored for dry-electrode scalp EEG recording, characterized by wide input dynamic range (DR) and high input impedance.
View Article and Find Full Text PDFIEEE Trans Biomed Circuits Syst
February 2024
This article describes a power-efficient, high dynamic range (DR) incremental ADC (IADC) for wearable biopotential signals recording, where DC and low-frequency disturbances such as electrode offset, 50/60 Hz interference and motion artifact must be tolerated. To achieve a wide DR, the IADC performs a three-step conversion by combining zoom-SAR and extended counting (EC) on top of a second-order incremental delta-sigma modulator (ΔΣM). The hybrid architecture notably reduces the oversampling ratio (OSR) with respect to conventional incremental ΔΣMs, while using the EC further improves the Signal-to-Noise-and-Distortion Ratio (SNDR) by 7.
View Article and Find Full Text PDFSensors (Basel)
September 2021
Department of Biosystems Science and Engineering, ETH Zürich, 4058 Basel, Switzerland.
This article reports on a compact and low-power CMOS readout circuit for bioelectrical signals based on a second-order delta-sigma modulator. The converter uses a voltage-controlled, oscillator-based quantizer, achieving second-order noise shaping with a single opamp-less integrator and minimal analog circuitry. A prototype has been implemented using 0.
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