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...

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Detalles Bibliográficos
Autores principales: Safdar, Muhammad Farhan, Nowak, Robert Marek, Pałka, Piotr
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
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

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9780813/
https://www.ncbi.nlm.nih.gov/pubmed/36559944
http://dx.doi.org/10.3390/s22249576

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