Cargando…
Fast Parabolic Fitting: An R-Peak Detection Algorithm for Wearable ECG Devices
Heart diseases rank among the most fatal health concerns globally, with the majority being preventable through early diagnosis and effective treatment. Electrocardiogram (ECG) analysis is critical in detecting heart diseases, as it captures the heart’s electrical activities. For continuous monitorin...
Autores principales: | Félix, Ramón A., Ochoa-Brust, Alberto, Mata-López, Walter, Martínez-Peláez, Rafael, Mena, Luis J., Valdez-Velázquez, Laura L. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10649215/ https://www.ncbi.nlm.nih.gov/pubmed/37960497 http://dx.doi.org/10.3390/s23218796 |
Ejemplares similares
-
Segmentation of the ECG Signal by Means of a Linear Regression Algorithm
por: Aspuru, Javier, et al.
Publicado: (2019) -
Arrhythmia Evaluation in Wearable ECG Devices
por: Sadrawi, Muammar, et al.
Publicado: (2017) -
An Adaptive and Time-Efficient ECG R-Peak Detection Algorithm
por: Qin, Qin, et al.
Publicado: (2017) -
Artificial Intelligence-Enabled ECG Algorithm Based on Improved Residual Network for Wearable ECG
por: Li, Hongqiang, et al.
Publicado: (2021) -
Adaptive Noise Reduction Algorithm to Improve R Peak Detection in ECG Measured by Capacitive ECG Sensors
por: Seo, Minseok, et al.
Publicado: (2018)