Title :
Cardiac State Diagnosis using Adaptive Neuro-Fuzzy Technique
Author :
Kannathal, N. ; Puthusserypady, Sadasivan K. ; Min, Lim Choo ; Rajendra Acharya, U. ; Laxminarayan, Swamy
Author_Institution :
Dept. of Electr. & Comput. Eng., Nat. Univ. of Singapore
Abstract :
Heart rate signals may either contain indicators of a current disease or even warnings about impending diseases. However, to manually study and pinpoint heart abnormalities in voluminous data is strenuous and time consuming. Here, an adaptive neuro-fuzzy network is used to classify heart abnormalities in ten different cardiac states and shown to be effective
Keywords :
diseases; electrocardiography; fuzzy neural nets; medical signal processing; signal classification; adaptive neuro-fuzzy technique; cardiac state diagnosis; diseases; heart abnormalities classification; heart rate signals; Adaptive systems; Application software; Cardiac disease; Cardiovascular diseases; Computer applications; Fuzzy neural networks; Geometry; Heart rate; Neural networks; Rhythm; Adaptive Neuro-Fuzzy Inference System; Heart Rate; LLE; SD1/SD2; SE;
Conference_Titel :
Engineering in Medicine and Biology Society, 2005. IEEE-EMBS 2005. 27th Annual International Conference of the
Conference_Location :
Shanghai
Print_ISBN :
0-7803-8741-4
DOI :
10.1109/IEMBS.2005.1615304
