Title :
Adaptive wavelet packet decomposition for ECG data compression
Author :
Krishnamurthy, N. ; Kresch, Edward ; Rao, S.S. ; Kresh, Y.
Author_Institution :
Dept. of Electr. & Comput. Eng., Villanova Univ., PA, USA
Abstract :
Adaptive wavelet packet decomposition produces a better compression ratio for ECG signals than other traditional wavelet decompositions. Though computationally more intensive, it provides a better error control by isolating and discarding only those coefficients whose contribution is below a preset threshold. The decomposition algorithm is simple and can be implemented in real time
Keywords :
adaptive signal processing; data compression; electrocardiography; medical signal processing; real-time systems; signal reconstruction; wavelet transforms; ECG data compression; ECG signals; adaptive wavelet packet decomposition; compression ratio; decomposition algorithm; error control; preset threshold; real time; Data compression; Discrete wavelet transforms; Electrocardiography; Energy measurement; Filters; Independent component analysis; Signal processing algorithms; Time frequency analysis; Wavelet analysis; Wavelet packets;
Conference_Titel :
Engineering in Medicine and Biology Society, 1995., IEEE 17th Annual Conference
Conference_Location :
Montreal, Que.
Print_ISBN :
0-7803-2475-7
DOI :
10.1109/IEMBS.1995.575071
