Cargando…
A Real-Time Atrial Fibrillation Detection Algorithm Based on the Instantaneous State of Heart Rate
Atrial fibrillation (AF), the most frequent cause of cardioembolic stroke, is increasing in prevalence as the population ages, and presents with a broad spectrum of symptoms and severity. The early identification of AF is an essential part for preventing the possibility of blood clotting and stroke....
Autores principales: | Zhou, Xiaolin, Ding, Hongxia, Wu, Wanqing, Zhang, Yuanting |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2015
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4573734/ https://www.ncbi.nlm.nih.gov/pubmed/26376341 http://dx.doi.org/10.1371/journal.pone.0136544 |
Ejemplares similares
-
Automatic online detection of atrial fibrillation based on symbolic dynamics and Shannon entropy
por: Zhou, Xiaolin, et al.
Publicado: (2014) -
An Algorithm for the Detection of General Movements of Preterm Infants Based on the Instantaneous Heart Rate
por: Maeda, Tomoki, et al.
Publicado: (2022) -
Speckle Vibrometry for Instantaneous Heart Rate Monitoring
por: Que, Shuhao, et al.
Publicado: (2023) -
Real-Time Rotational Activity Detection in Atrial Fibrillation
por: Ríos-Muñoz, Gonzalo R., et al.
Publicado: (2018) -
How Nonlinear-Type Time-Frequency Analysis Can Help in Sensing Instantaneous Heart Rate and Instantaneous Respiratory Rate from Photoplethysmography in a Reliable Way
por: Cicone, Antonio, et al.
Publicado: (2017)