QRS detection using K-Nearest Neighbor algorithm (KNN) and evaluation on standard ECG databases

The performance of computer aided ECG analysis depends on the precise and accurate delineation of QRS-complexes. This paper presents an application of K-Nearest Neighbor (KNN) algorithm as a classifier for detection of QRS-complex in ECG. The proposed algorithm is evaluated on two manually annotated...

Descripción completa

Detalles Bibliográficos
Autores principales: Saini, Indu, Singh, Dilbag, Khosla, Arun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2013
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4293876/
https://www.ncbi.nlm.nih.gov/pubmed/25685438
http://dx.doi.org/10.1016/j.jare.2012.05.007

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4293876/
https://www.ncbi.nlm.nih.gov/pubmed/25685438
http://dx.doi.org/10.1016/j.jare.2012.05.007

Ejemplares similares