Title :
A system for automated analysis of RR-series applied to identification of patients with neurocardiogenic syncope
Author :
Dickhaus, H. ; Maier, C. ; Bauch, M. ; Rengshausen, U. ; Khalil, M. ; Hessling, G. ; Ulmer, HE
Author_Institution :
Univ. of Heidelberg, Heilbronn, Germany
Abstract :
Deals with an adaptable software system for heart rate variability (HRV) analysis and its application to the clinical problem of neurocardiogenic syncope. Features here calculated from 24h-Holter recordings of 17 patients and 15 control probands. The best discrimination results (88% sensitivity, 73% specificity) between the two groups are achieved by combination of the standard deviation of intervals between normal beats (SDNN) and the standard deviation of Haar-wavelet coefficients (σWAV) for scale 10 using a first order polynomial classifier. The prominent key features of the developed software system are discussed.
Keywords :
Haar transforms; electrocardiography; feature extraction; medical signal processing; neurophysiology; paediatrics; pattern classification; time series; wavelet transforms; 24 h; ECG signal; Haar-wavelet coefficients; Holter recordings; RR-series automated analysis; SDNN; adaptable software system; clinical problem; control probands; discrimination results; features; first order polynomial classifier; heart rate variability analysis; neurocardiogenic syncope; normal beat intervals; patient identification; sensitivity; specificity; standard deviation; young children; Application software; Data analysis; Electrocardiography; Heart rate variability; Helium; Hospitals; Interpolation; Pediatrics; Polynomials; Software systems;
Conference_Titel :
Engineering in Medicine and Biology, 2002. 24th Annual Conference and the Annual Fall Meeting of the Biomedical Engineering Society EMBS/BMES Conference, 2002. Proceedings of the Second Joint
Print_ISBN :
0-7803-7612-9
DOI :
10.1109/IEMBS.2002.1106568
