This paper illustrates the use of combined neural network model to guide model selection for classification of electrocardiogram (ECG) beats. The ECG signals were decomposed into time-frequency representations using discrete wavelet transform and statistical features were calculated to depict their
ECG beat classifier designed by combined neural network model
✍ Scribed by İnan Güler; Elif Derya Übeylı˙
- Publisher
- Elsevier Science
- Year
- 2005
- Tongue
- English
- Weight
- 164 KB
- Volume
- 38
- Category
- Article
- ISSN
- 0031-3203
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