A 0.45 V 147–375 nW ECG Compression Processor With Wavelet Shrinkage and Adaptive Temporal Decimation Architectures

This paper presents a real-time electrocardiogram (ECG) data compression processor with improved energy efficiency while maintaining high accuracy and real-time operation. Wavelet shrinkage is exploited to filter the noise and achieve sparse ECG signal representation. Adaptive temporal decimation is proposed to achieve configurable processing to adaptively reduce the data amount and computational activities for further power reduction. Modified Huffman and run-length wavelet source coding (MHRLC) is also designed to represent wavelet coefficients with optimized average code length and reduced memory requirement. Fabricated in 0.18-μm CMOS, the ECG processor is implemented with customized near-threshold digital logics for minimum energy operation. The prototype was fully validated with the MIT-BIH Arrhythmia database. With a power consumption of 147-375 nW at 0.45 V, the proposed ECG processor exhibits a wide compression ratio ranging from 2.89 to 26.91, corresponding to a percentage-RMS-distortion from 0% to 3.11%.