Electroencephalography

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PANDA: A Reconfigurable Seizure Prediction and Detection Neural Network Accelerator for Epilepsy Monitoring

PANDA: A Reconfigurable Seizure Prediction and Detection Neural Network Accelerator for Epilepsy Monitoring 150 150
Author(s): Siyuan Qiu, Xiaoyi Song, Xiangjie Song, Changchun Zhou, Xiaoyan Song, Jie Yang, Wenjin Wang, Yuchao Yang, Hailong Jiao

Abstract:

For effective healthcare management of epilepsy patients in a non-hospital environment, continuous monitoring of EEG signals is crucial, where wearable intelligent devices are essential. The existing seizure monitoring devices, however, cannot achieve high sensitivity, a short detection latency, a low false alarm rate (FAR), as well as ultra-low-power computing simultaneously. …

Published in: IEEE Journal of Solid-State Circuits
Page(s): 1 – 15
Year of Publication: 2026
Electronic ISSN: 1558-173X
DOI: 10.1109/JSSC.2026.3699609
Publisher: IEEE

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A 4.6 μW, 133-VPP Common-Mode Interference-Tolerant Biopotential Amplifier for Two-Electrode Recording System in 110-nm CMOS

A 4.6 μW, 133-VPP Common-Mode Interference-Tolerant Biopotential Amplifier for Two-Electrode Recording System in 110-nm CMOS 150 150
Author(s): Yongjae Park, Yeong-Jin Mo, Jeong-Hoon Kim, Gert Cauwenberghs, Seong-Jin Kim

Abstract:

This article presents a biopotential recording analog front-end (AFE) specifically tailored for a two-electrode measurement system, capable of capturing small biopotential signals while tolerating a large common-mode interference (CMI) over 130 VPP. By leveraging the Miller effect, the proposed CMI-Follower provides a significantly low common-mode input impedance ( $Z_{\text {IN-CM-C}}$ ), achieving …

Published in: IEEE Journal of Solid-State Circuits
Page(s): 1 – 15
Year of Publication: 2025
Electronic ISSN: 1558-173X
DOI: 10.1109/JSSC.2025.3613410
Publisher: IEEE

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