Patient Monitoring and Management in Sleep Medicine

Dear Colleagues,

We spend around a third of our lives sleeping. Still, we do not have any perfect tools to monitor sleep. Polysomnography, which is the gold standard in the study of sleep, is non-physiological and was developed for in-laboratory analyses. Personalized sleep medicine requires comfortable sensors that enable long-term sleep monitoring in the patient’s home. Artificial intelligence, machine learning, big data projects, and the development of new sensors will certainly revolutionize sleep monitoring and sleep disorder management in both children and adults. Studies show that the high night-to-night variability in multiple sleep parameters requires multi-night monitoring processes. Therefore, emerging technologies together with automatic big data analysis give promise for real advancements in monitoring and management in sleep medicine.

The purpose of this Special Issue is to introduce innovative approaches to the process of monitoring and managing sleep and sleep disorders. Original research and review articles, case studies, and research briefs are all welcomed.

Dr. Wojciech Kukwa
Guest Editor

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