New algorithms for pattern recognition of atrial fibrillation and sinus rhythm
| Autor: | R.H. Seireg, Farokh Marvasti |
|---|---|
| Rok vydání: | 2003 |
| Předmět: |
medicine.diagnostic_test
Computer science business.industry Quantitative Biology::Tissues and Organs Physics::Medical Physics Fast Fourier transform Pattern recognition Atrial fibrillation Derivative medicine.disease Signal Pattern recognition (psychology) medicine Sinus rhythm Artificial intelligence business Electrocardiography Algorithm DC bias |
| Zdroj: | Images of the Twenty-First Century. Proceedings of the Annual International Engineering in Medicine and Biology Society. |
| DOI: | 10.1109/iembs.1989.96397 |
| Popis: | 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. > |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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