IEEE Journal of Solid-State Circuits · 2016 · 103 citations · 23 references
EngineeringBiomedical EngineeringElectrical EngineeringMicroelectronicsNeural EngineeringSemiconductor DevicesBiomedical InstrumentationElectroencephalogram Signal ProcessingElectroencephalographyNeural Recording TechnologiesNeural Signal AcquisitionThin-film TransistorsAmorphous SiliconBiomarker ExtractionCompressive SensingEeg Feature ExtractionElectroencephalogram AcquisitionFlexible Thin-film ElectronicsLow-noise AmplifiersSeizure Detection
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.
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David L. Donoho · IEEE Transactions on Information Theory · 2006 · 23.1K citations
PhysioBank, PhysioToolkit, and PhysioNet
Ary L. Goldberger, Luı́s A. Nunes Amaral, Leon Glass et al. · Circulation · 2000 · 14.5K citations · Full text