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

Tiffany Moy, Liechao Huang, Warren Rieutort-Louis, Can Wu, Paul Cuff, Sigurd Wagner, James C. Sturm, Naveen Verma

Research output: Contribution to journalArticlepeer-review

76 Scopus citations

Abstract

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 data. The TFT amplifier achieves a noise PSD of 230 nV/√Hz. reconstruction and seizure detection via analog replay of patient Seizure detection, at up to 64× compression, achieves error rates <8%. Reconstruction is demonstrated at up to 8× compression.

Original languageEnglish (US)
Pages (from-to)309-321
Number of pages13
JournalIEEE Journal of Solid-State Circuits
Volume52
Issue number1
DOIs
StatePublished - Jan 2017

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering

Keywords

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

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