Design of a Seizure Detector Using Single Channel EEG Signal

作者：Zijian Tang, Chao Zhang, Yahao Song, Milin Zhang · 年份：2021 · DOI：10.1109/iscas51556.2021.9401209 · 被引用次数：8 · 研究领域：EEG and Brain-Computer Interfaces、Analog and Mixed-Signal Circuit Design、Blind Source Separation Techniques

This paper proposed an epilepsy seizure detection ASIC design using only one channel EEG signal as input. The proposed design consists of 10 sub-bands FIR filters and band energy feature extraction engines. A MAC is utilized as a linear SVM classifier. The design was fabricated in TSMC 180nm technology with a power consumption of 3.09 μJ/Classification. According to experimental results, the average sensitivity is reduced by less than 10% while the area is reduced by 70%. With patient-specific configurable parameters, a higher than 90% dection sensitivity was achieved on half of the patients in the testing dataset.