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Wavelet-based encoding scheme for controlling size of compressed ECG segments in telecardiology systems

One of the major issues in time-critical medical applications using wireless technology is the size of the payload packet, which is generally designed to be very small to improve the transmission process. Using small packets to transmit continuous ECG data is still costly. Thus, data compression is...

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Main Authors: Al-Busaidi, Asiya M., Khriji, Lazhar, Touati, Farid, Rasid, Mohd Fadlee, Mnaouer, Adel Ben
Format: Article
Language:English
Published: Springer 2017
Online Access:http://psasir.upm.edu.my/id/eprint/63707/1/Wavelet-based%20encoding%20scheme%20for%20controlling%20size%20of%20compressed%20ECG%20segments%20in%20telecardiology%20systems.pdf
http://psasir.upm.edu.my/id/eprint/63707/
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spelling my.upm.eprints.637072018-11-30T03:57:17Z http://psasir.upm.edu.my/id/eprint/63707/ Wavelet-based encoding scheme for controlling size of compressed ECG segments in telecardiology systems Al-Busaidi, Asiya M. Khriji, Lazhar Touati, Farid Rasid, Mohd Fadlee Mnaouer, Adel Ben One of the major issues in time-critical medical applications using wireless technology is the size of the payload packet, which is generally designed to be very small to improve the transmission process. Using small packets to transmit continuous ECG data is still costly. Thus, data compression is commonly used to reduce the huge amount of ECG data transmitted through telecardiology devices. In this paper, a new ECG compression scheme is introduced to ensure that the compressed ECG segments fit into the available limited payload packets, while maintaining a fixed CR to preserve the diagnostic information. The scheme automatically divides the ECG block into segments, while maintaining other compression parameters fixed. This scheme adopts discrete wavelet transform (DWT) method to decompose the ECG data, bit-field preserving (BFP) method to preserve the quality of the DWT coefficients, and a modified running-length encoding (RLE) scheme to encode the coefficients. The proposed dynamic compression scheme showed promising results with a percentage packet reduction (PR) of about 85.39% at low percentage root-mean square difference (PRD) values, less than 1%. ECG records from MIT-BIH Arrhythmia Database were used to test the proposed method. The simulation results showed promising performance that satisfies the needs of portable telecardiology systems, like the limited payload size and low power consumption. Springer 2017-10 Article PeerReviewed text en http://psasir.upm.edu.my/id/eprint/63707/1/Wavelet-based%20encoding%20scheme%20for%20controlling%20size%20of%20compressed%20ECG%20segments%20in%20telecardiology%20systems.pdf Al-Busaidi, Asiya M. and Khriji, Lazhar and Touati, Farid and Rasid, Mohd Fadlee and Mnaouer, Adel Ben (2017) Wavelet-based encoding scheme for controlling size of compressed ECG segments in telecardiology systems. Journal of Medical Systems, 41 (166). pp. 1-17. ISSN 0148-5598; ESSN: 1573-689X 10.1007/s10916-017-0817-1
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
language English
description One of the major issues in time-critical medical applications using wireless technology is the size of the payload packet, which is generally designed to be very small to improve the transmission process. Using small packets to transmit continuous ECG data is still costly. Thus, data compression is commonly used to reduce the huge amount of ECG data transmitted through telecardiology devices. In this paper, a new ECG compression scheme is introduced to ensure that the compressed ECG segments fit into the available limited payload packets, while maintaining a fixed CR to preserve the diagnostic information. The scheme automatically divides the ECG block into segments, while maintaining other compression parameters fixed. This scheme adopts discrete wavelet transform (DWT) method to decompose the ECG data, bit-field preserving (BFP) method to preserve the quality of the DWT coefficients, and a modified running-length encoding (RLE) scheme to encode the coefficients. The proposed dynamic compression scheme showed promising results with a percentage packet reduction (PR) of about 85.39% at low percentage root-mean square difference (PRD) values, less than 1%. ECG records from MIT-BIH Arrhythmia Database were used to test the proposed method. The simulation results showed promising performance that satisfies the needs of portable telecardiology systems, like the limited payload size and low power consumption.
format Article
author Al-Busaidi, Asiya M.
Khriji, Lazhar
Touati, Farid
Rasid, Mohd Fadlee
Mnaouer, Adel Ben
spellingShingle Al-Busaidi, Asiya M.
Khriji, Lazhar
Touati, Farid
Rasid, Mohd Fadlee
Mnaouer, Adel Ben
Wavelet-based encoding scheme for controlling size of compressed ECG segments in telecardiology systems
author_facet Al-Busaidi, Asiya M.
Khriji, Lazhar
Touati, Farid
Rasid, Mohd Fadlee
Mnaouer, Adel Ben
author_sort Al-Busaidi, Asiya M.
title Wavelet-based encoding scheme for controlling size of compressed ECG segments in telecardiology systems
title_short Wavelet-based encoding scheme for controlling size of compressed ECG segments in telecardiology systems
title_full Wavelet-based encoding scheme for controlling size of compressed ECG segments in telecardiology systems
title_fullStr Wavelet-based encoding scheme for controlling size of compressed ECG segments in telecardiology systems
title_full_unstemmed Wavelet-based encoding scheme for controlling size of compressed ECG segments in telecardiology systems
title_sort wavelet-based encoding scheme for controlling size of compressed ecg segments in telecardiology systems
publisher Springer
publishDate 2017
url http://psasir.upm.edu.my/id/eprint/63707/1/Wavelet-based%20encoding%20scheme%20for%20controlling%20size%20of%20compressed%20ECG%20segments%20in%20telecardiology%20systems.pdf
http://psasir.upm.edu.my/id/eprint/63707/
_version_ 1643837866412867584
score 13.211869

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