NDLI: ECG compression based on combining of EMD and wavelet transform

Content Provider	IET Digital Library
Author	Wang, Xiaoxiao Chen, Zhijian Luo, Jiahui Meng, Jianyi Xu, Yin
Abstract	A new electrocardiogram (ECG) compression method based on the combination of the empirical mode decomposition (EMD) and the wavelet transform is presented. ECG signal can be decomposed into a set of intrinsic mode functions by the EMD. The proposed method recomposes the intrinsic mode functions into two groups, and compresses each group separately to fully utilise their data characteristics. The first group can be completely described by its extrema with negligible reconstruction error, while the second group is further decomposed by wavelet transform. With appropriate threshold selecting and the using of the run length coding and the Huffman coding, the proposed method exhibits competitive performances compared with other compressors for ECG compression.
Starting Page	1588
Ending Page	1590
Page Count	3
ISSN	00135194
Volume Number	52
e-ISSN	1350911X
Issue Number	Issue 19, Sep (2016)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/el/52/19
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/el.2016.2174
Journal	Electronics Letters
Publisher Date	2016-08-25
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Bioelectric Signal Biology And Medical Computing Digital Signal Processing ECG Compression ECG Signal Decomposition Electrical Activity in Neurophysiological Processes Electrocardiogram Compression Method Electrocardiography Electrodiagnostics And Other Electrical Measurement Technique EMD Empirical Mode Decomposition Function Theory And Analysis Huffman Code Huffman Coding Integral Transforms Intrinsic Mode Function Medical Signal Processing Reconstruction Error Run Length Coding Runlength Code Signal Processing And Detection Signal Reconstruction Threshold Selection Wavelet Transform
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering

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

Electrocardiograph compression based on sifting process of empirical mode decomposition

Comparative study of ECG signal denoising by wavelet thresholding in empirical and variational mode decomposition domains

R-wave detection using EMD and bionic wavelet transform

Motion artefact removals for wearable ECG using stationary wavelet transform

Baseline wander removal of electrocardiogram signals using multivariate empirical mode decomposition

On ECG reconstruction using weighted-compressive sensing

Very large-scale integration architecture for wavelet-based ECG signal adaptive coder

Baseline wander removal of ECG signals using Hilbert vibration decomposition

Electrocardiogram signal compression using singular coefficient truncation and wavelet coefficient coding

ECG compression based on combining of EMD and wavelet transform

Similar Documents

Electrocardiograph compression based on sifting process of empirical mode decomposition

Comparative study of ECG signal denoising by wavelet thresholding in empirical and variational mode decomposition domains

R-wave detection using EMD and bionic wavelet transform

Motion artefact removals for wearable ECG using stationary wavelet transform

Baseline wander removal of electrocardiogram signals using multivariate empirical mode decomposition

On ECG reconstruction using weighted-compressive sensing

Very large-scale integration architecture for wavelet-based ECG signal adaptive coder

Baseline wander removal of ECG signals using Hilbert vibration decomposition

Electrocardiogram signal compression using singular coefficient truncation and wavelet coefficient coding

ECG compression based on combining of EMD and wavelet transform