Machine Learning Techniques for the Performance Enhancement of Multiple Classifiers in the Detection of Cardiovascular Disease from PPG Signals

Photoplethysmography (PPG) signals are widely used in clinical practice as a diagnostic tool since PPG is noninvasive and inexpensive. In this article, machine learning techniques were used to improve the performance of classifiers for the detection of cardiovascular disease (CVD) from PPG signals....

Descripción completa

Detalles Bibliográficos
Autores principales: Palanisamy, Sivamani, Rajaguru, Harikumar
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10294971/
https://www.ncbi.nlm.nih.gov/pubmed/37370609
http://dx.doi.org/10.3390/bioengineering10060678

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10294971/
https://www.ncbi.nlm.nih.gov/pubmed/37370609
http://dx.doi.org/10.3390/bioengineering10060678

Ejemplares similares