Title :
On-line heart beat recognition using hermite polynomials and neuro-fuzzy network
Author :
Hoai Linh, Tran ; Osowski, Stanislaw ; Stodolski, Maciej
Author_Institution :
Warsaw Univ. of Technol., Poland
fDate :
6/24/1905 12:00:00 AM
Abstract :
The paper presents the neuro-fuzzy approach to the recognition and classification of heart rhythms on the basis of ECG waveforms. The important part in recognition fulfills the Hermite characterization of the QRS complexes. The Hermite coefficients serve as the features of the process. These features are applied to the fuzzy neural network for the recognition. The results of numerical experiments have confirmed the very good performance of such a solution.
Keywords :
electrocardiography; fuzzy neural nets; medical signal processing; pattern recognition; polynomials; signal classification; ECG waveforms; Hermite characterization; Hermite polynomials; QRS complexes; arrhythmia recognition; fuzzy neural network; heart rhythms classification; heart rhythms recognition; neuro-fuzzy network; on-line heart beat recognition; waveform characterization; Character recognition; Electrocardiography; Fuzzy neural networks; Heart beat; Kernel; Neural networks; Polynomials; Rhythm; Shape; Training data;
Conference_Titel :
Instrumentation and Measurement Technology Conference, 2002. IMTC/2002. Proceedings of the 19th IEEE
Print_ISBN :
0-7803-7218-2
DOI :
10.1109/IMTC.2002.1006834
