Cargando…
Impact of Data Transformation: An ECG Heartbeat Classification Approach
Cardiovascular diseases continue to be a significant global health threat. The electrocardiogram (ECG) signal is a physiological signal that plays a major role in preventing severe and even fatal heart diseases. The purpose of this research is to explore a simple mathematical feature transformation...
Autores principales: | Liang, Yongbo, Hussain, Ahmed, Abbott, Derek, Menon, Carlo, Ward, Rabab, Elgendi, Mohamed |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8521829/ https://www.ncbi.nlm.nih.gov/pubmed/34713072 http://dx.doi.org/10.3389/fdgth.2020.610956 |
Ejemplares similares
-
ECGAssess: A Python-Based Toolbox to Assess ECG Lead Signal Quality
por: Kramer, Linus, et al.
Publicado: (2022) -
Editorial: Mobile and wearable systems for health monitoring
por: Elgendi, Mohamed, et al.
Publicado: (2023) -
Hypertension Assessment via ECG and PPG Signals: An Evaluation Using MIMIC Database
por: Liang, Yongbo, et al.
Publicado: (2018) -
ECG-based machine-learning algorithms for heartbeat classification
por: Aziz, Saira, et al.
Publicado: (2021) -
Identifying Heart Failure in ECG Data With Artificial Intelligence—A Meta-Analysis
por: Grün, Dimitri, et al.
Publicado: (2021)