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A Denoising and Fourier Transformation-Based Spectrograms in ECG Classification Using Convolutional Neural Network
The non-invasive electrocardiogram (ECG) signals are useful in heart condition assessment and are found helpful in diagnosing cardiac diseases. However, traditional ways, i.e., a medical consultation required effort, knowledge, and time to interpret the ECG signals due to the large amount of data an...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9780813/ https://www.ncbi.nlm.nih.gov/pubmed/36559944 http://dx.doi.org/10.3390/s22249576 |