Loading web-font TeX/Main/Regular
22.2 A Rugged Wearable Modular ExG Platform Employing a Distributed Scalable Multi-Channel FM-ADC Achieving 101dB Input Dynamic Range and Motion-Artifact Resilience | IEEE Conference Publication | IEEE Xplore

22.2 A Rugged Wearable Modular ExG Platform Employing a Distributed Scalable Multi-Channel FM-ADC Achieving 101dB Input Dynamic Range and Motion-Artifact Resilience


Abstract:

Wearable ExG biopotential acquisition systems can potentially capture a wealth of clinically useful diagnostic information during activities of daily life. In practice, h...Show More

Abstract:

Wearable ExG biopotential acquisition systems can potentially capture a wealth of clinically useful diagnostic information during activities of daily life. In practice, however, motions from common activities introduce large artifacts that can easily saturate traditional analog front-ends (AFEs) designed to sense biopotentials on the micro- to milli-volt scale. In addition, the wires that connect each electrode to an array of high-impedance AFEs can easily pick up interference and large, potentially saturating artifacts. For these reasons, many-channel monolithic biopotential sensing systems are often fragile and difficult to use in ambulatory environments. While active electrodes can be used to combat interference picked up by high-impedance wires, they require power-hungry drivers to deliver high-fidelity signals across relevant anatomy to an array of ADCs. Placing an ADC on each active electrode followed by a digital bus driver can eliminate analog driver power, resulting in a per-channel power consumption of 104μW in [1]. However, the 12b SAR ADC in [1] could not tolerate significant motion artifacts, and further increasing the ADC resolution to accommodate a larger dynamic range (DR) would require a quadratic increase in per-channel ADC power consumption.
Date of Conference: 17-21 February 2019
Date Added to IEEE Xplore: 07 March 2019
ISBN Information:

ISSN Information:

Conference Location: San Francisco, CA, USA
Citations are not available for this document.

Wearable ExG biopotential acquisition systems can potentially capture a wealth of clinically useful diagnostic information during activities of daily life. In practice, however, motions from common activities introduce large artifacts that can easily saturate traditional analog front-ends (AFEs) designed to sense biopotentials on the micro- to milli-volt scale. In addition, the wires that connect each electrode to an array of high-impedance AFEs can easily pick up interference and large, potentially saturating artifacts. For these reasons, many-channel monolithic biopotential sensing systems are often fragile and difficult to use in ambulatory environments. While active electrodes can be used to combat interference picked up by high-impedance wires, they require power-hungry drivers to deliver highfidelity signals across relevant anatomy to an array of ADCs. Placing an ADC on each active electrode followed by a digital bus driver can eliminate analog driver power, resulting in a per-channel power consumption of 104μW in [1] . However, the 12b SAR ADC in [1] could not tolerate significant motion artifacts, and further increasing the ADC resolution to accommodate a larger dynamic range (DR) would require a quadratic increase in per-channel ADC power consumption.

Cites in Papers - |

Cites in Papers - IEEE (7)

Select All
1.
Moustafa Nawito, Amani Nawito, "Analysis of UMASC Design Requirements for Biomedical Applications and Smart Healthcare", 2025 IEEE International Conference on Consumer Electronics (ICCE), pp.1-6, 2025.
2.
Alireza Dabbaghian, Hossein Kassiri, "Modular DR- and CMR-Boosted Artifact-Resilient EEG Headset With Distributed Pulse-Based Feature Extraction and Neuro-Inspired Boosted-SVM Classifier", IEEE Journal of Solid-State Circuits, vol.60, no.3, pp.921-933, 2025.
3.
Jiahuai Fan, Bo Zhao, Yuxuan Luo, "A 109.2dB-Dynamic-Range Fully Dynamic Dual-Mode Adjustable Gain Resistive Sensor Interface Circuit", 2024 IEEE International Conference on Integrated Circuits, Technologies and Applications (ICTA), pp.231-232, 2024.
4.
Sen Zhu, Yuhang Wang, "A 1.8V, SNDR 96.3dB analog front-end circuit design for ECG signal acquisition", 2024 6th International Conference on Natural Language Processing (ICNLP), pp.742-746, 2024.
5.
Arunashish Datta, Shreyas Sen, "Invited: Can Wi-R enable perpetual IoB nodes?", 2023 IEEE Biomedical Circuits and Systems Conference (BioCAS), pp.1-5, 2023.
6.
Yuxuan Luo, Yida Li, Aaron Voon-Yew Thean, Chun-Huat Heng, "A 70-μW 1.35-mm2 Wireless Sensor With 32 Channels of Resistive and Capacitive Sensors and Edge-Encoded PWM UWB Transceiver", IEEE Journal of Solid-State Circuits, vol.56, no.7, pp.2065-2076, 2021.
7.
Jinyong Kim, Hyunkyu Ouh, Matthew L. Johnston, "A 43.8\mu \mathrm{W} per Channel Biopotential Readout System using Frequency Division Multiplexing with Cable Motion Artifact Suppression", 2020 IEEE Custom Integrated Circuits Conference (CICC), pp.1-4, 2020.
Contact IEEE to Subscribe

References

References is not available for this document.