Title :
Compression and denoising of the ECG using standard bandwidth variability function
Author_Institution :
AGH Tech. Univ., Krakow, Poland
Abstract :
In a previous work we invented the function of local bandwidth variability of an electrocardiogram (P. Augustyniak and R. Tadeusiewicz, 1999). This function represents local density of diagnostic information, and thus expresses the level of importance of any section in the recorded signal. After a year of validation and improvement, we use the standard bandwidth variability function (SBVF) of an ECG for serious modification of the signal in time-frequency domain: denoising and compression. The obtained results, however, only partially verified till now, are quite promising. An example compression ratio is of order of 5.9 with distortion not exceeding 5%
Keywords :
bandwidth allocation; data compression; electrocardiography; medical signal processing; time-frequency analysis; ECG compression/denoising; SBVF; compression; compression ratio; denoising; diagnostic information; electrocardiogram; local bandwidth variability; local density; recorded signal; standard bandwidth variability function; time-frequency domain;
Conference_Titel :
Advances in Medical Signal and Information Processing, 2000. First International Conference on (IEE Conf. Publ. No. 476)
Conference_Location :
Bristol
Print_ISBN :
0-85296-728-4
DOI :
10.1049/cp:20000316