Predicting Daytime Sleepiness from Electrocardiography Based Respiratory Rate Using Deep Learning

Daytime sleepiness impairs the activities of daily living, especially in chronic disease patients. Typically, daytime sleepiness is measured with subjective patient reported outcomes (PROs), which could be prone to recall bias. Objective measures of daytime sleepiness, which are sensitive to change,...

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Bibliographische Detailangaben

Hauptverfasser:	Antikainen, Emmi, Ur Rehman, Rana Zia, Ahmaniemi, Teemu, Chatterjee, Meenakshi
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Atmospheric measurements Deep learning Electric potential Electrocardiography Medical treatment Particle measurements Sleep
Online-Zugang:	Volltext
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