Energy Efficient Particle Optimized Compressed ECG Data over Zigbee Environment

Author:

Kumar Dilip1,Kumar Rajeev2,Singla Tony2

Affiliation:

1. SLIET, India

2. DAVIET, India

Abstract

Standard Electrocardiogram Tracking instruments are huge to carry away over the remote areas for the surveillance. Holter is the compact instrument meant for collecting ECG of a patient without a pause while the patient is on the go of their daily activities. Holter works on battery for 48 hours without any angle of transmission but when allowed to transmit battery power dies soon, for these purposes some energy saving techniques is required. In this chapter the authors have proposed a Wavelet based Compression Technique, followed by Optimization under Genetic Algorithm and Particle Swarm Optimization. Compressed and Optimized ECG data has been transferred over Zigbee IEEE 802.15.4 with the intention of saving energy implicating it on a hardware chip. Transferred data will be available to the Doctor for on time treatment and further examination and storage. Embedded prior techniques in Holter can enhance its life, with fact of sending crucial data.

Publisher

IGI Global

Reference33 articles.

1. Ecg Comptression Using Run Length Encoding.;S.Akhter;18th European Signal Processing Conference EUSIPCO-2010,2010

2. Chaiyakum & Wardkein. (2012, May). A New ECG Compression by Using Adaptive Cosine Fourier Transform. In Electrical Engineering/Electronics, Computer, Telecommunication and Information Technology (ECTI.CON) (pp. 1-4).

3. A Wireless Sensor Network Compatible Wearable U.Healthcare Monitoring System Using Integrated ECG, Accelerometer and SPO2.;L.Chung;30th Annual International IEEE EMBS conference,2008

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