Real‐Time Arrhythmia Detection Using Hybrid Convolutional Neural Networks

BACKGROUND: Accurate detection of arrhythmic events in the intensive care units (ICU) is of paramount significance in providing timely care. However, traditional ICU monitors generate a high rate of false alarms causing alarm fatigue. In this work, we develop an algorithm to improve life threatening...

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Detalles Bibliográficos
Autores principales: Bollepalli, Sandeep Chandra, Sevakula, Rahul K., Au‐Yeung, Wan‐Tai M., Kassab, Mohamad B., Merchant, Faisal M., Bazoukis, George, Boyer, Richard, Isselbacher, Eric M., Armoundas, Antonis A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2021
Materias:
Original Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9075394/
https://www.ncbi.nlm.nih.gov/pubmed/34854319
http://dx.doi.org/10.1161/JAHA.121.023222

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9075394/
https://www.ncbi.nlm.nih.gov/pubmed/34854319
http://dx.doi.org/10.1161/JAHA.121.023222

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