VLSI implementation of low‐power cost‐efficient lossless ECG encoder design for wireless healthcare monitoring application

An efficient VLSI architecture of a lossless ECG encoding circuit is proposed for wireless healthcare monitoring applications. To reduce the transmission and storage data, a novel lossless compression algorithm is proposed for ECG signal compression. It consists of a novel adaptive rending predictor...

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Bibliographic Details
Published in:	Electronics letters Vol. 49; no. 2; pp. 91 - 93
Main Authors:	Chen, S.‐L., Wang, J.‐G
Format:	Journal Article
Language:	English
Published:	Stevenage The Institution of Engineering and Technology 01.01.2013 Institution of Engineering and Technology
Subjects:	adaptive rending predictor Applied sciences arithmetic unit Biological and medical sciences CMOS integrated circuits CMOS process Coding, codes computerised monitoring data compression ECG signal compression electrocardiography Electrocardiography. Vectocardiography Electrodiagnosis. Electric activity recording Electronics entropy codes entropy encoder Exact sciences and technology frequency frequency 100 MHz gate counts health care Huffman codes Huffman coding table Information, signal and communications theory Integrated circuits Integrated circuits by function (including memories and processors) Investigative techniques, diagnostic techniques (general aspects) lookup table lossless compression algorithm lossless ECG encoder design Medical sciences medical signal processing MIT‐BIH Arrhythmia database Pathology. Cytology. Biochemistry. Spectrometry. Miscellaneous investigative techniques patient monitoring pipeline arithmetic pipeline technology power power 36.4 muW Semiconductor electronics. Microelectronics. Optoelectronics. Solid state devices Signal and communications theory size size 0.18 mum table lookup Telecommunications and information theory VLSI VLSI architecture wireless healthcare monitoring application Signal compression High performance Lossless circuit VLSI circuit Circuit design Pipeline processor Huffman code Data compression Lossless compression Information rate Low power Adaptive method Energy savings Pipeline Storage Electrocardiography Wireless network Arrhythmia (physiology) Monitoring
ISSN:	1350-911X, 0013-5194, 1350-911X
Online Access:	Get full text
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