Title :
Detection of the seismocardiogram W complex based on multiscale edges
Author :
Xu, W. ; Sandham, W.A. ; Fisher, A.C. ; Conway, M.
fDate :
31 Oct-3 Nov 1996
Abstract :
Seismocardiography is a new non-invasive technique developed for recording and analyzing cardiac vibratory activity. At present, a single channel electrocardiogram (ECG) has to be recorded simultaneously to provide a timing reference. Beat detection and analysis of SCGs rely on peak detection of the ECG QRS complex. In the SCG of one beat, there is a dominant characteristic complex, called the W complex. This complex is analogous to the ECG´s QRS complex as a beat timing reference, and may carry significant discriminant information for SCG classification. In this paper, an automated SCG characteristic W complex detection algorithm, using a wavelet-based multiscale edge detection technique, is described. Preliminary test results demonstrate that this technique is effective for localization of the W complex
Keywords :
biomechanics; cardiology; edge detection; medical signal processing; vibration measurement; wavelet transforms; ECG QRS complex; beat detection; beat timing reference; discriminant information; dominant characteristic complex; multiscale edges; peak detection; seismocardiogram W complex detection; single channel electrocardiogram; timing reference; wavelet-based multiscale edge detection technique; Biomedical signal processing; Detection algorithms; Discrete wavelet transforms; Electrocardiography; Filters; Hospitals; Image edge detection; Magnetic resonance; Timing; Wavelet transforms;
Conference_Titel :
Engineering in Medicine and Biology Society, 1996. Bridging Disciplines for Biomedicine. Proceedings of the 18th Annual International Conference of the IEEE
Conference_Location :
Amsterdam
Print_ISBN :
0-7803-3811-1
DOI :
10.1109/IEMBS.1996.652691