A Micro-Power EEG Acquisition SoC With Integrated Feature Extraction Processor for a Chronic Seizure Detection System
A Micro-Power EEG Acquisition SoC With Integrated Feature Extraction Processor for a Chronic Seizure Detection System
复制标题
DOI：
10.1109/jssc.2010.2042245
复制
发表时间：
2010-04-01
影响因子：
5.4
通讯作者：
Chandrakasan, Anantha P.
中科院分区：
文献类型：
--
作者：
Verma, Naveen;Shoeb, Ali;Chandrakasan, Anantha P.
本文提出了一种低功耗SoC，它可以执行癫痫患者癫痫发作连续检测所需的EEG采集和特征提取。SoC对应于一个EEG通道，并且根据患者的不同，可以佩戴多达18个通道来检测癫痫发作，作为慢性治疗系统的一部分。该SoC集成了仪表放大器、ADC和数字处理器，该数字处理器将特征向量流传输到中央设备，在中央设备中通过机器学习分类器执行癫痫发作检测。仪表放大器在拓扑结构中使用斩波稳定，实现高输入阻抗并抑制大电极偏移，同时工作在1 V; ADC采用功率门控以降低每次转换的能量，同时使用静态偏置以提高比较器精度; EEG特征提取处理器采用低功耗硬件，其参数通过患者数据验证确定。传感和本地处理的集成通过降低无线EEG数据传输速率将系统功耗降低了14倍。特征向量以0.5 Hz的速率导出，完整的单通道SoC采用1 V电源供电，每个特征向量消耗9 μ J。
This paper presents a low-power SoC that performs EEG acquisition and feature extraction required for continuous detection of seizure onset in epilepsy patients. The SoC corresponds to one EEG channel, and, depending on the patient, up to 18 channels may be worn to detect seizures as part of a chronic treatment system. The SoC integrates an instrumentation amplifier, ADC, and digital processor that streams features-vectors to a central device where seizure detection is performed via a machine-learning classifier. The instrumentation-amplifier uses chopper-stabilization in a topology that achieves high input-impedance and rejects large electrode-offsets while operating at 1 V; the ADC employs power-gating for low energy-per-conversion while using static-biasing for comparator precision; the EEG feature extraction processor employs low-power hardware whose parameters are determined through validation via patient data. The integration of sensing and local processing lowers system power by 14x by reducing the rate of wireless EEG data transmission. Feature vectors are derived at a rate of 0.5 Hz, and the complete one-channel SoC operates from a 1 V supply, consuming 9 mu J per feature vector.