Effective Wavelet Algorithm for an Automatic Detection of Atrial Fibrillation
Cardiac anomalies are usually marked through irregular cardiac cycles. Atrial fibrillation is given through a rapid beating of the atria, announcing a possible heart failure or stroke. Electrocardiograms are an efficient way of supervising the electric activity of the heart. We have developed an e...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Stefan cel Mare University of Suceava
2020-08-01
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| Series: | Advances in Electrical and Computer Engineering |
| Subjects: | |
| Online Access: | http://dx.doi.org/10.4316/AECE.2020.03006 |
| Summary: | Cardiac anomalies are usually marked through irregular cardiac cycles. Atrial fibrillation is given
through a rapid beating of the atria, announcing a possible heart failure or stroke. Electrocardiograms
are an efficient way of supervising the electric activity of the heart. We have developed an effective,
simple to implement automatic detection algorithm for identifying changes of the cardiac rhythm. The
algorithm is based on wavelets and an enhanced time domain thresholding procedure. We take into
account a variation of the electrocardiogramâs amplitudes, to avoid loss of clinical features.
The interval between beats is computed and provided for a reliable diagnosis. The results are
validated both with objective evaluation criteria and displayed graphically, assisting the medical
diagnosis procedure. |
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| ISSN: | 1582-7445 1844-7600 |