SmartHypnos: An Android application for low-cost sleep self-monitoring and personalized recommendation generation.

Autor: Chriskos P; Laboratory of Medical Physics and Digital Innovation, School of Medicine, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece. Electronic address: pchriskos@gmail.com., Frantzidis CA; Laboratory of Medical Physics and Digital Innovation, School of Medicine, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece; School of Engineering and Physical Sciences, College of Health and Science, University of Lincoln, Lincoln, United Kingdom; Greek Aerospace Medical Association and Space Research (GASMA-SR), Thessaloniki, Greece. Electronic address: CFrantzidis@lincoln.ac.uk., Plomariti CS; Laboratory of Medical Physics and Digital Innovation, School of Medicine, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece. Electronic address: cplomari@hotmail.com., Papanastasiou E; Laboratory of Medical Physics and Digital Innovation, School of Medicine, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece. Electronic address: empapana@auth.gr., Pataka A; Respiratory Failure Unit G Papanikolaou Hospital Exohi Thessaloniki Greece, Aristotle University Thessaloniki, Greece. Electronic address: patakath@auth.gr., Kourtidou-Papadeli C; Greek Aerospace Medical Association and Space Research (GASMA-SR), Thessaloniki, Greece. Electronic address: papadc@icloud.com., Bamidis PD; Laboratory of Medical Physics and Digital Innovation, School of Medicine, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece. Electronic address: pdbamidis@gmail.com.
Jazyk: angličtina
Zdroj: Computers in biology and medicine [Comput Biol Med] 2025 Jan; Vol. 184, pp. 109306. Date of Electronic Publication: 2024 Nov 14.
DOI: 10.1016/j.compbiomed.2024.109306
Abstrakt: Background and Objective: Sleep is an essential biological function that is critical for a healthy and fulfilling life. Available sleep quality assessment tools contain long questionnaires covering a long period of time, not taking into account daily physical activity patterns and individual lifestyles.
Methods: In this paper we present SmartHypnos, an Android application that supports low-end devices. It enables users to report their sleep quality, monitor their physical activity and exercise intensity and gain personalized recommendations aimed at increasing sleep quality. The application functionalities are implemented through sleep quality evaluation questions, passive step counter, efficient data storage and Personal data are stored locally protecting user privacy. All these are integrated into a single interface that requires a single device, is of low learning difficulty and easy to use. SmartHypnos was evaluated during a pilot study that involved 48 adults (ages 18-50) that used the application for seven days and subsequently submitted their data, possible through the interface directly, and evaluated the application through an appropriate questionnaire.
Results: SmartHypnos was rated positively by users, especially it terms of learnability, ease of use and stability, with a mean score over 8. Task completion time and ease, simplicity, user comfort and recommendation utility were scored with a mean over 7. The correlation between the features extracted were in accordance to prior works.
Conclusions: SmartHypnos has the potential to become a sleep monitoring and intervention tool readily available to the general public, including vulnerable populations of low socio-economic status.
Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
(Copyright © 2024 The Authors. Published by Elsevier Ltd.. All rights reserved.)
Databáze: MEDLINE
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