A Highly Adaptive Lossless ECG Compression ASIC for Wireless Sensors Based on Hybrid Gomlomb Coding

Jiahui LUO  Zhijian CHEN  Xiaoyan XIANG  Jianyi MENG  

IEICE TRANSACTIONS on Information and Systems   Vol.E101-D   No.3   pp.791-794
Publication Date: 2018/03/01
Online ISSN: 1745-1361
DOI: 10.1587/transinf.2017EDL8206
Type of Manuscript: LETTER
Category: Computer System
ECG,  lossless compression,  low-power,  wireless sensors,  

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This work presents a low-complexity lossless electrocardiogram (ECG) compression ASIC for wireless sensors. Three linear predictors aiming for different signal characteristics are provided for prediction based on a history table that records of the optimum predictors for recent samples. And unlike traditional methods using a unified encoder, the prediction error is encoded by a hybrid Golomb encoder combining Exp-Golomb and Golomb-Rice and can adaptively configure the encoding scheme according to the predictor selection. The novel adaptive prediction and encoding scheme contributes to a compression rate of 2.77 for the MIT-BIH Arrhythmia database. Implemented in 40nm CMOS process, the design takes a small gate count of 1.82K with 37.6nW power consumption under 0.9V supply voltage.