Pregled bibliografske jedinice broj: 71616
Effects of data compression on segmented electrocardiogram
Effects of data compression on segmented electrocardiogram // Proceedings of the International Federation for Medical & Biological Engineering, Vol. 1, Part 2, Medicon 2001 / Magjarević, R ; Tonković, S. ; Bilas, V. ; Lacković, I. (ur.).
Zagreb: International Federation of Medical and Biological Engineering (IFMBE), 2001. str. 853-856 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 71616 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Effects of data compression on segmented electrocardiogram
Autori
Vrček, Neven ; Tonković, Stanko
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
Proceedings of the International Federation for Medical & Biological Engineering, Vol. 1, Part 2, Medicon 2001
/ Magjarević, R ; Tonković, S. ; Bilas, V. ; Lacković, I. - Zagreb : International Federation of Medical and Biological Engineering (IFMBE), 2001, 853-856
Skup
XI Mediterranean Conference on Medical and Biological Engineering and Computing, MEDICON 2001
Mjesto i datum
Pula, Hrvatska, 12.06.2001. - 15.06.2001
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
data compression ; segmented electrocardiogram
Sažetak
Different compression algorithms have been used in modern digital electrocardiology. The highest compression ratio is achieved by using lossy algorithms. Reconstructed signal, which has been treated with such algorithm, loses certain features, which might have diagnostic importance. There are many measures, which tried to reveal significance of introduced changes and their correlation with medical opinion. However none of them is perfect and there are still significant differences in diagnostic meaning of electrocardiogram (ECG) and mathematical measure of its quality. One of the reasons for these discrepancies is the fact that different compression algorithms do not change the signal in the same way and that importance of changes in signal shape varies with part of the signal in which it occurred. This paper presents results of the research performed with various ECG compression algorithms on different parts of ECG signal. The measures of signal quality are compared with statistically analysed medical opinion. By this approach we are able to identify acceptable amount of distortion in particular part of the signal. Presented results reveal that different diagnostic conditions have various sensitivity to compression algorithms depending on the part of the signal in which they are dominantly observed.
Izvorni jezik
Engleski
POVEZANOST RADA
Ustanove:
Fakultet elektrotehnike i računarstva, Zagreb