Cargando…
Study of the Few-Shot Learning for ECG Classification Based on the PTB-XL Dataset
The electrocardiogram (ECG) is considered a fundamental of cardiology. The ECG consists of P, QRS, and T waves. Information provided from the signal based on the intervals and amplitudes of these waves is associated with various heart diseases. The first step in isolating the features of an ECG begi...
Autores principales: | Pałczyński, Krzysztof, Śmigiel, Sandra, Ledziński, Damian, Bujnowski, Sławomir |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8839938/ https://www.ncbi.nlm.nih.gov/pubmed/35161650 http://dx.doi.org/10.3390/s22030904 |
Ejemplares similares
-
ECG Signal Classification Using Deep Learning Techniques Based on the PTB-XL Dataset
por: Śmigiel, Sandra, et al.
Publicado: (2021) -
Deep Learning Techniques in the Classification of ECG Signals Using R-Peak Detection Based on the PTB-XL Dataset
por: Śmigiel, Sandra, et al.
Publicado: (2021) -
IoT Application of Transfer Learning in Hybrid Artificial Intelligence Systems for Acute Lymphoblastic Leukemia Classification
por: Pałczyński, Krzysztof, et al.
Publicado: (2021) -
PTB-XL+, a comprehensive electrocardiographic feature dataset
por: Strodthoff, Nils, et al.
Publicado: (2023) -
PTB-XL, a large publicly available electrocardiography dataset
por: Wagner, Patrick, et al.
Publicado: (2020)