TY - GEN
T1 - Real-time DWT-based compression for wearable Electrocardiogram monitoring system
AU - Al-Busaidi, Asiya M.
AU - Khriji, Lazhar
AU - Touati, Farid
AU - Rasid, Mohd Fadlee A.
AU - Ben Mnaouer, Adel
N1 - Publisher Copyright:
© 2015 IEEE.
PY - 2015/3/12
Y1 - 2015/3/12
N2 - 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.
AB - 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.
KW - ECG Compression
KW - Running Length Encoding (RLE)
KW - discrete wavelet transform (DWT)
KW - telemedicine
UR - http://www.scopus.com/inward/record.url?scp=84929120156&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84929120156&partnerID=8YFLogxK
U2 - 10.1109/IEEEGCC.2015.7060103
DO - 10.1109/IEEEGCC.2015.7060103
M3 - Conference contribution
AN - SCOPUS:84929120156
T3 - 2015 IEEE 8th GCC Conference and Exhibition, GCCCE 2015
BT - 2015 IEEE 8th GCC Conference and Exhibition, GCCCE 2015
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2015 IEEE 8th GCC Conference and Exhibition, GCCCE 2015
Y2 - 1 February 2015 through 4 February 2015
ER -