Title :
Moving window signal concatenation for spectral analysis of ECG waves
Author_Institution :
AGH Univ. of Sci. & Technol., Krakow, Poland
Abstract :
In this paper we postulate a replacement for the averaging of successive waves spectra, by the concatenation of selected type waves (P, QRS or T) in a moving time window. The window size is selected as a result of compromise between the spectrum resolution (high for long window) and temporal response (fast for short window). To avoid the influence of a border effect, the order of concatenated waves is optimized with regard to the maximum smoothness of resulting signal. The smoothness estimate is based on the similarity of the first derivative of the adjacent signals. Our results for a 10s window shows a considerable drop of estimated P-wave bandwidth from 151Hz to 107Hz (CSE Dataset3), which seems to be much more reasonable considering the physiological limitations of ECG signal generation. Similar results were observed for QRS and T waves.
Keywords :
electrocardiography; medical signal processing; spectral analysis; ECG signal generation; ECG waves; P-wave bandwidth; QRS waves; T waves; bandwidth 151 Hz to 107 Hz; border effect; concatenated waves; moving window signal concatenation; physiological limitations; spectral analysis; spectrum resolution; wave spectra; Bandwidth; Electrocardiography; Estimation; Lead; Optimization; Real time systems; Spectral analysis;
Conference_Titel :
Computing in Cardiology, 2010
Conference_Location :
Belfast
Print_ISBN :
978-1-4244-7318-2
Electronic_ISBN :
0276-6547