A Highly Adaptive Lossless ECG Compression ASIC for Wireless Sensors Based on Hybrid Gomlomb Coding-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

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

Published:2018 Issue:3 Volume:E101.D Page:791-794
ISSN:0916-8532
Container-title:IEICE Transactions on Information and Systems
language:en
Short-container-title:IEICE Trans. Inf. & Syst.

Author:

LUO Jiahui¹,CHEN Zhijian¹,XIANG Xiaoyan²,MENG Jianyi²

Affiliation:

1. Institute of VLSI Design, Zhejiang University

2. State Key Laboratory of ASIC and System, Fudan University

Publisher

Institute of Electronics, Information and Communications Engineers (IEICE)

Subject

Artificial Intelligence,Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Hardware and Architecture,Software

Link

https://www.jstage.jst.go.jp/article/transinf/E101.D/3/E101.D_2017EDL8206/_pdf

Reference11 articles.

1. [1] D.D. He and C.G. Sodini, “A 58 nW ECG ASIC with motion-tolerant heartbeat timing extraction for wearable cardiovascular monitoring,” IEEE Trans. Biomed. Circuits Syst., vol.9, no.3, pp.370-376, June 2015. 10.1109/tbcas.2014.2346761

2. [2] Y. Zou, J. Han, S. Xuan, S. Huang, X. Weng, D. Fang, and X. Zeng, “An energy-efficient design for ECG recording and R-peak detection based on wavelet transform,” IEEE Trans. Circuits Syst. II: Exp. Briefs, vol.62, no.2, pp.119-123, Feb. 2015. 10.1109/tcsii.2014.2368619

3. [3] Z. Arnavut, “ECG signal compression based on burrows-wheeler transformation and inversion ranks of linear prediction,” IEEE Trans. Biomed. Eng., vol.54, no.3, pp.410-418, March 2007. 10.1109/tbme.2006.888820

4. [4] T. Ota and H. Morita, “On-line electrocardiogram lossless compression using antidictionary codes for a finite alphabet,” IEICE Trans. Inf. & Syst., vol.E93-D, no.12, pp.3384-3391, Dec. 2010. 10.1587/transinf.e93.d.3384

5. [5] E. Chua and W.-C. Fang, “Mixed bio-signal lossless data compressor for portable brain-heart monitoring systems,” IEEE Trans. Consumer Electron., vol.57, no.1, pp.267-273, Feb. 2011. 10.1109/tce.2011.5735512

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号京ICP备18003416号-3