21.8基于机器学习和电压模式经颅刺激的16-ch患者特异性癫痫发作和终止检测SoC

2015 IEEE International Solid-State Circuits Conference - (ISSCC) Digest of Technical Papers Pub Date : 2015-03-19 DOI:10.1109/ISSCC.2015.7063092

Muhammad Awais Bin Altaf, Chen Zhang, Jerald Yoo

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引用次数: 28

摘要

多通道脑电图发作检测soc广泛应用于医学实践和研究[1]-[3]。由于发作模式的巨大差异，患者特异性发作检测是非常重要的。[1]，[2]为8通道(ch) soc，具有中等潜伏期(~2s)，但没有癫痫终止检测和刺激。[3]实现了一个闭环SoC，但不是针对患者的，而且是侵入性的。本文介绍了一种超低功耗16-ch“无创、患者特异性”癫痫发作和终止检测SoC，该SoC具有通道复用AFE和脉冲电压经颅电刺激(PVTES)。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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21.8 A 16-ch patient-specific seizure onset and termination detection SoC with machine-learning and voltage-mode transcranial stimulation

Multichannel EEG seizure detection SoCs are widely used in medical practice and in research [1]-[3]. Due to huge variation in seizure patterns, patient-specific seizure detection is very crucial. [1], [2] presents 8-channel (ch) SoCs with moderate latency (~2s) but without seizure termination detection and stimulation. [3] implements a closed-loop SoC but is not patient-specific, and moreover, is invasive. This paper presents an ultra-low power 16-ch "non-invasive, patient-specific" seizure onset and termination detection SoC with channels multiplexing AFE and pulsating voltage transcranial electrical stimulation (PVTES).

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