期刊名称：International Journal of Research and Innovation in Computer Engineering
电子版ISSN：2249-6580
出版年度：2011
卷号：1
期号：2
页码：36-38
出版社：Innovation Science Publications
摘要：In the paper, wavelet analysis is applied to cardiology. Here electrocardiographic signals are used to detect a pathological process in the heart (myocardial ischemia). ECG signals are recorded from the same subject in two phases: control (physiological signal) and after the event (artry occlusion causing acuate ischemia). Thus, the original signal and corrupted signal are taken and can be used to design an effective detection algorithm. However, even the physiological signal is noisy itself. This is caused by dynamic nature of the signal source and the dynamic systems between the source and recording electrodes. The analyzed ECG signal is then composed of repetitions that very (beat-to-beat variations). Such variations may negatively influence the detection and may increase a number of false positive events (low specificity). The same negative effect may be caused by other unwanted noise e.g. powerline noise, moving artifacts, myopotentials, etc.
