Abstract | ||
---|---|---|
A new real-time compression method for electrocardiogram (ECG) signals has been developed based on the wavelet transform approach. The method is specifically adaptable for packetized telecardiology applications. The signal is segmented into beats and a beat template is subtracted from them, producing a residual signal. Beat templates and residual signals are coded with a wavelet expansion. Compression is achieved by selecting a subset of wavelet coefficients. The number of selected coefficients depends on a threshold which has different definitions depending on the operational mode of the coder. Compression performance has been tested using a subset of ECG records from MIT-BIH Arrhythmia database. This method has been designed for real-time packetized telecardiology scenarios both in wired and wireless environments |
Year | DOI | Venue |
---|---|---|
2006 | 10.1109/TITB.2005.856853 | IEEE Transactions on Information Technology in Biomedicine |
Keywords | Field | DocType |
tcpip,cardiology,bandwidth,real time systems,compression,wireless networks,encoding,data compression,real time,wavelet transform,wavelet transforms | Wireless network,Wireless,Computer science,Artificial intelligence,Wavelet transform,Wavelet,Computer vision,Residual,Pattern recognition,Speech recognition,Bandwidth (signal processing),Data compression,Encoding (memory) | Journal |
Volume | Issue | ISSN |
10 | 2 | 1089-7771 |
Citations | PageRank | References |
11 | 1.49 | 9 |
Authors | ||
4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Álvaro Alesanco Iglesias | 1 | 11 | 1.49 |
S. Olmos | 2 | 101 | 21.66 |
Robert S. H. Istepanian | 3 | 109 | 13.22 |
José García | 4 | 250 | 45.30 |