An EEG Acquisition and Biomarker-Extraction System Using Low-Noise-Amplifier and Compressive-Sensing Circuits Based on Flexible, Thin-Film Electronics

作者：Moy Tiffany^*; Huang Liechao; Rieutort Louis Warren; Wu Can; Cuff Paul; Wagner Sigurd; Sturm James C; Verma Naveen

来源：IEEE Journal of Solid-State Circuits, 2017, 52(1): 309-321.

DOI：10.1109/JSSC.2016.2598295

• Amorphous silicon (a-Si)
• chopper stabilization
• compressive sensing
• flexible electronics
• seizure detection
• thin-film transistor (TFT)

This paper presents an electroencephalogram (EEG) acquisition and biomarker-extraction system based on flexible, thin-film electronics. There exist commercial, single-use, flexible, pre-gelled electrode arrays; however, these are fully passive, requiring cabling to transfer sensitive, low-amplitude signals to external electronics for readout and processing. This work presents an active EEG acquisition system on flex, based on amorphous silicon (a-Si) thin-film transistors (TFTs). The system incorporates embedded chopper-stabilized a-Si TFT low-noise amplifiers, to enhance signal integrity, and a-Si TFT compressive-sensing scanning circuits, to enable reduction of EEG data from many channels onto a single interface, for subsequent processing by a CMOS IC. Further, the system uses an algorithm, by which spectral-energy features, a key EEG biomarker, are extracted directly from the compressed signals. We demonstrate a prototype, performing EEG acquisition from a human subject, and compressed EEG reconstruction and seizure detection via analog replay of patient data. The TFT amplifier achieves a noise PSD of 230 nV/root Hz. Seizure detection, at up to 64x compression, achieves error rates <8%. Reconstruction is demonstrated at up to 8x compression.

• 出版日期2017-1