Real-time DWT-based compression for wearable Electrocardiogram monitoring system

Asiya M. Al-Busaidi, Lazhar Khriji, Farid Touati, Mohd Fadlee A. Rasid, Adel Ben Mnaouer

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

Compression of Electrocardiogram signal is important for digital Holters recording, signal archiving, transmission over communication channels and Telemedicine. This paper introduces an effective real-time compression scheme to overcome the limitation of payload size of the transmission channel. This scheme utilizes the Discrete Wavelet Transform (DWT), Bit-Field Preserving (BFP) and Running Length Encoding (RLE) methods which showed efficient compression results. The scheme dynamically checks if the compressed packets fit into the available payload. If not, the original signal will be divided into blocks and each block will be re-compressed again. The dynamic scheme was tested on large and small number of samples. The results show that a small block of 64, 128 or 256 samples will not affect the compression performance and no distortion occurred on the reconstructed signal.

Original languageEnglish
Title of host publication2015 IEEE 8th GCC Conference and Exhibition, GCCCE 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781479984220
DOIs
Publication statusPublished - Mar 12 2015
Event2015 IEEE 8th GCC Conference and Exhibition, GCCCE 2015 - Muscat, Oman
Duration: Feb 1 2015Feb 4 2015

Other

Other2015 IEEE 8th GCC Conference and Exhibition, GCCCE 2015
CountryOman
CityMuscat
Period2/1/152/4/15

Fingerprint

Discrete wavelet transforms
Electrocardiography
Telemedicine
Monitoring

Keywords

  • discrete wavelet transform (DWT)
  • ECG Compression
  • Running Length Encoding (RLE)
  • telemedicine

ASJC Scopus subject areas

  • Energy(all)
  • Engineering(all)
  • Computer Science(all)

Cite this

Al-Busaidi, A. M., Khriji, L., Touati, F., Rasid, M. F. A., & Ben Mnaouer, A. (2015). Real-time DWT-based compression for wearable Electrocardiogram monitoring system. In 2015 IEEE 8th GCC Conference and Exhibition, GCCCE 2015 [7060103] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IEEEGCC.2015.7060103

Real-time DWT-based compression for wearable Electrocardiogram monitoring system. / Al-Busaidi, Asiya M.; Khriji, Lazhar; Touati, Farid; Rasid, Mohd Fadlee A.; Ben Mnaouer, Adel.

2015 IEEE 8th GCC Conference and Exhibition, GCCCE 2015. Institute of Electrical and Electronics Engineers Inc., 2015. 7060103.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Al-Busaidi, AM, Khriji, L, Touati, F, Rasid, MFA & Ben Mnaouer, A 2015, Real-time DWT-based compression for wearable Electrocardiogram monitoring system. in 2015 IEEE 8th GCC Conference and Exhibition, GCCCE 2015., 7060103, Institute of Electrical and Electronics Engineers Inc., 2015 IEEE 8th GCC Conference and Exhibition, GCCCE 2015, Muscat, Oman, 2/1/15. https://doi.org/10.1109/IEEEGCC.2015.7060103
Al-Busaidi AM, Khriji L, Touati F, Rasid MFA, Ben Mnaouer A. Real-time DWT-based compression for wearable Electrocardiogram monitoring system. In 2015 IEEE 8th GCC Conference and Exhibition, GCCCE 2015. Institute of Electrical and Electronics Engineers Inc. 2015. 7060103 https://doi.org/10.1109/IEEEGCC.2015.7060103
Al-Busaidi, Asiya M. ; Khriji, Lazhar ; Touati, Farid ; Rasid, Mohd Fadlee A. ; Ben Mnaouer, Adel. / Real-time DWT-based compression for wearable Electrocardiogram monitoring system. 2015 IEEE 8th GCC Conference and Exhibition, GCCCE 2015. Institute of Electrical and Electronics Engineers Inc., 2015.
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