IEEE Journal of Solid-State Circuits · 2014 · 89 citations · 14 references
EngineeringBiomedical EngineeringComputer EngineeringLow-power DesignSensorsSystem-on-chip DesignData CompressionDigital Signal ProcessingElectrocardiogram AnalysisElectrocardiographyLossless Data CompressionLow-power Digital Circuit DesignCompression RatioEcg Signal CompressionElectrocardiogram CompressionError PredictionFixed-length CodingPower ConsumptionUltra-low-power CmosWearable Ecg Analysis
This paper presents a low-power ECG recording system-on-chip (SoC) with on-chip low-complexity lossless ECG compression for data reduction in wireless/ambulatory ECG sensor devices. The chip uses a linear slope predictor for data compression, and incorporates a novel low-complexity dynamic coding-packaging scheme to frame the prediction error into fixed-length 16 bit format. The proposed technique achieves an average compression ratio of 2.25× on MIT/BIH ECG database. Implemented in a standard 0.35 μm process, the compressor uses 0.565 K gates/channel occupying 0.4 mm <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup> for four channels, and consumes 535 nW/channel at 2.4 V for ECG sampled at 512 Hz. Small size and ultra-low-power consumption makes the proposed technique suitable for wearable ECG sensor applications.
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Christian Enz, Fran�ois Krummenacher, Eric A. Vittoz · Analog Integrated Circuits and Signal Processing · 1995 · 1.2K citations · Full text
Engineering, Electrical Engineering, Electronic Materials +13