Cargando…
Optimal length of R–R interval segment window for Lorenz plot detection of paroxysmal atrial fibrillation by machine learning
BACKGROUND: Heartbeat interval Lorenz plot (LP) imaging is a promising method for detecting atrial fibrillation (AF) in long-term monitoring, but the optimal segment window length for the LP images is unknown. We examined the performance of AF detection by LP images with different segment window len...
Autores principales: | Kisohara, Masaya, Masuda, Yuto, Yuda, Emi, Ueda, Norihiro, Hayano, Junichiro |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7298777/ https://www.ncbi.nlm.nih.gov/pubmed/32546178 http://dx.doi.org/10.1186/s12938-020-00795-y |
Ejemplares similares
-
Redundancy among risk predictors derived from heart rate variability and dynamics: ALLSTAR big data analysis
por: Yuda, Emi, et al.
Publicado: (2020) -
Ambient-task combined lighting to regulate autonomic and psychomotor arousal levels without compromising subjective comfort to lighting
por: Hayano, Junichiro, et al.
Publicado: (2021) -
Survival Predictors of Heart Rate Variability After Myocardial Infarction With and Without Low Left Ventricular Ejection Fraction
por: Hayano, Junichiro, et al.
Publicado: (2021) -
Risk stratification after acute myocardial infarction by amplitude–frequency mapping of cyclic variation of heart rate
por: Hayano, Junichiro, et al.
Publicado: (2021) -
Association of heart rate variability with regional difference in senility death ratio: ALLSTAR big data analysis
por: Hayano, Junichiro, et al.
Publicado: (2019)