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Bimonthly Since 1986 |
ISSN 1004-9037
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Publication Details |
Edited by: Editorial Board of Journal of Data Acquisition and Processing
P.O. Box 2704, Beijing 100190, P.R. China
Sponsored by: Institute of Computing Technology, CAS & China Computer Federation
Undertaken by: Institute of Computing Technology, CAS
Published by: SCIENCE PRESS, BEIJING, CHINA
Distributed by:
China: All Local Post Offices
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05 July-September 2023, Volume 38 Issue 4
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Abstract
Abstract:
A novel method of efficient communication between a medical professional and a patient is made possible by wireless communications. The present heart state of the patient can be efficiently sent to the physician's phone using these techniques. Although there are a number of key technologies that make wireless healthcare facilities appealing, efficient compression is absolutely necessary. It is vital to develop higher compression without incurring the cost of losing data. The scientific community's activities in healthcare telemedicine are motivated by the requirement for biomedical signal compression. This paper presents Tunable Foetal Electrocardiography (ECG) signal compression using the Dingo Optimization Algorithm and Wavelet Transform that shows better average Compression Ratio (CR) at much lower User specified Percentage root mean square difference (UPRD). The overall result show that for total 26 records, average CR increases by 1.03 % and 2.39 %, when UPRD increases from 0.5 to 1 and from 0.5 to 2 respectively.
Keyword
Foetal ECG Signal, Noninvasive Detection, Compression, Dingo Optimization Algorithm, Wavelet Transform cdf9/7
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