Al-Busaidi, Asiya M.Khriji, LazharTouati, FaridRasid, Mohd Fadlee A.Mnaouer, Adel Ben2020-02-092020-02-0920152015Al-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.2015.7060103http://dx.doi.org/10.1109/IEEEGCC.2015.7060103http://hdl.handle.net/20.500.12519/1259781479984220This 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.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. © 2015 IEEE.enPermission to reuse abstract has been secured from Institute of Electrical and Electronics Engineers Inc.Discrete wavelet transformsElectrocardiographyEncoding (symbols)Signal processingTelemedicineWavelet transformsWearable technologyBit-field preservingCompression performanceECG compressionElectrocardiogram signalLength encodingLength encodingNumber of samplesReal-time compressioTransmission channelsData compressionConference PaperCopyright : 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.