Classification of ECG arrhythmias based on statistical and time-frequency features
In this paper a new approach to accurately classify ECG arrhythmias through a combination of the wavelet transform and artificial neural network is presented. Three kinds of features in a very computationally efficient manner are computed as follows: 1-Joint time-frequency features (discrete wavelet...
| Main Authors: | , , , |
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| Format: | Conference item |
| Published: |
2006
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