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

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dc.contributor.authorAl-Busaidi, Asiya M.
dc.contributor.authorKhriji, Lazhar
dc.contributor.authorTouati, Farid
dc.contributor.authorRasid, Mohd Fadlee A.
dc.contributor.authorMnaouer, Adel Ben
dc.date.accessioned2020-02-09T12:25:24Z
dc.date.available2020-02-09T12:25:24Z
dc.date.copyright2015en_US
dc.date.issued2015
dc.descriptionThis conference paper is not available at CUD collection. The version of scholarly record of this conference paper is published in 2015 IEEE 8th GCC Conference & Exhibition (2015), available online at: https://doi.org/10.1109/IEEEGCC.2015.7060103.en_US
dc.description.abstractCompression 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. © 2015 IEEE.en_US
dc.identifier.citationAl-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. https://doi.org/10.1109/IEEEGCC.2015.7060103en_US
dc.identifier.urihttp://dx.doi.org/10.1109/IEEEGCC.2015.7060103
dc.identifier.urihttp://hdl.handle.net/20.500.12519/125
dc.identifier.uri9781479984220
dc.language.isoenen_US
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.relationAuthors Affiliations: Al-Busaidi, A.M., Department of Electrical and Computer Engineering, Sultan Qaboos University, Muscat, Oman; Khriji, L., Department of Electrical and Computer Engineering, Sultan Qaboos University, Muscat, Oman; Touati, F., Department of Electrical Engineering, Qatar University, Doha, Qatar; Rasid, M.F.A., Wireless and Photonics Network Research Center, University of Putra Malaysia, Selangor, Malaysia; Ben Mnaouer, A., School of Engineering, Applied Science and Technology, Canadian University of Dubai, Dubai, United Arab Emirates
dc.relation.ispartofseries2015 IEEE 8th GCC Conference and Exhibition, GCCCE 2015;
dc.rightsPermission to reuse abstract has been secured from Institute of Electrical and Electronics Engineers Inc.
dc.rights.holderCopyright : 2015 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
dc.rights.urihttps://www.ieee.org/publications/rights/rights-policies.html
dc.subjectDiscrete wavelet transformsen_US
dc.subjectElectrocardiographyen_US
dc.subjectEncoding (symbols)en_US
dc.subjectSignal processingen_US
dc.subjectTelemedicineen_US
dc.subjectWavelet transformsen_US
dc.subjectWearable technologyen_US
dc.subjectBit-field preservingen_US
dc.subjectCompression performanceen_US
dc.subjectECG compressionen_US
dc.subjectElectrocardiogram signalLength encodingen_US
dc.subjectLength encodingen_US
dc.subjectNumber of samplesen_US
dc.subjectReal-time compressioen_US
dc.subjectTransmission channelsen_US
dc.subjectData compressionen_US
dc.titleReal-time DWT-based compression for wearable Electrocardiogram monitoring systemen_US
dc.typeConference Paperen_US
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