Title :
New algorithms for pattern recognition of atrial fibrillation and sinus rhythm
Author :
Seireg, Reda H. ; Marvasti, Farokh A.
Author_Institution :
Dept. of Electr. & Comput. Eng., Illinois Inst. of Technol., Chicago, IL, USA
Abstract :
Various zero-crossing techniques are used to distinguish between sinus rhythm and atrial fibrillation of different patients. The methods are threshold crossings, sine-wave crossings, threshold crossings of the derivative of the signal, and fast Fourier transform (FFT) analysis. The comparison shows that the sine-wave crossing method is best, because there is no need to normalize or to differentiate the signal (differentiation as a means to remove the DC component is a noisy process). Also, the algorithm is in real time (unlike the FFT procedure) and simple to implement
Keywords :
electrocardiography; patient diagnosis; pattern recognition; waveform analysis; DC component removal; atrial fibrillation; fast Fourier transform analysis; patients; pattern recognition algorithms; signal differentiation; sine-wave crossings; sinus rhythm; threshold crossings; zero-crossing techniques; Atrial fibrillation; Frequency; Pattern recognition; Pulse amplifiers; Pulse generation; Pulse measurements; Rhythm; Signal analysis; Signal generators; Very large scale integration;
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.1989.96397