Title :
Discriminant analysis of HRV´s autoregressive model coefficient for cardiac arrhythmia
Author :
Lee, Youn Sun ; Lee, Kyoung Joung ; Yoon, Hyoung Ro
Author_Institution :
Coll. of Health Sci., Yonsei Univ., Seoul, South Korea
Abstract :
An attempt is made to obtain an autoregressive (AR) model coefficient for heart rate variability (HRV) and then to classify the symptom groups of the coefficient. As a result of analyzing 104 sets of clinical data, the following conclusions are drawn. (1) HRV obtained from clinical data can be considered time-series data. (2) The optimal condition for classification is to assume that the coefficient is at 110 R-R intervals with 11th order. This fixed order shows a tendency to approach the largest one among the representative optimal orders of each symptom
Keywords :
electrocardiography; physiological models; signal processing; ECG analysis; R-R interval; autoregressive model coefficient; cardiac arrhythmia; clinical data; discriminant analysis; heart rate variability; optimal condition; symptom groups classification; symptom optimal orders; time-series data; Biomedical engineering; Control systems; Data analysis; Data engineering; Educational institutions; Heart rate variability; Medical diagnostic imaging; Sun; Testing; Time series analysis;
Conference_Titel :
Engineering in Medicine and Biology Society, 1989. Images of the Twenty-First Century., Proceedings of the Annual International Conference of the IEEE Engineering in
Conference_Location :
Seattle, WA
DOI :
10.1109/IEMBS.1989.95564
