NDLI: Weighted averaging with adaptive weight estimation (ECG)

Content Provider	IEEE Xplore Digital Library
Author	Bataillou, E. Thierry, E. Rix, H.
Copyright Year	1991
Description	Author affiliation: LASSY, Nice Univ., Sophie Antipolis, France (Bataillou, E.; Thierry, E.; Rix, H.)
Abstract	A method to estimate the weights in weighted averaging is presented. The authors first recall what is the optimum weight vector associated to the maximum signal-to-noise ratio (SNR) without bias. Noise power variation is the topic of interest. Significant variations of muscle tone may occur during the acquisition process. In this case, weighted averaging is used instead of classical averaging. It is shown that the optimum weights can be adaptively estimated using a least mean square (LMS) algorithm with a constraint. The constraint ensures that the estimated signal amplitude is not altered by averaging. The theoretical results are checked by simulation and on real electrocardiograms. It is shown that, after convergence of the algorithm, the SNR of the estimated signal is always equal or superior to the SNR of the estimated signal obtained by classical averaging.<>
Starting Page	37
Ending Page	40
File Size	223676
Page Count	4
File Format	PDF
ISBN	081862485X
DOI	10.1109/CIC.1991.169039
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1991-09-23
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Electrocardiography Noise shaping Signal to noise ratio Least squares approximation Working environment noise Shape Muscles Constraint theory Amplitude estimation Convergence
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in