Results 21 to 30 of about 5,318,393 (316)
Polymers, 2022 Daily sleep monitoring is limited by the needs for specialized equipment and experts. This study combines a mask-shaped triboelectric nanogenerator (M-TENG) and machine learning for facile daily sleep monitoring without the specialized equipment or ...
Jonghyeon Yun +4 more
semanticscholar +1 more source
Sleep Knowledge, Beliefs and Practices in Youth Sports Coaches and Science Support Staff [PDF]
Journal of Kinesiology and Exercise Sciences, 2022 Background: The primary purpose of this study was to assess sleep hygiene knowledge among coaches and sports science support staff working with youth athletes, their sleep practices implemented with athletes, and their sleep education.
Zuzanna Komarek +5 more
doaj +1 more source
Intelligent Sleep Monitoring System Based on Microservices and Event-Driven Architecture
IEEE Access, 2022 Sleep monitoring using polysomnography (PSG) in hospitals can be considered expensive, so the preferable way is to use contactless and wearable sensors to monitor sleep daily by patients at home.
N. Surantha +4 more
semanticscholar +1 more source
The Actioculographic Monitor of Sleep [PDF]
Sleep, 1979 The actioculographic monitor (AOGM) is a newly developed, flexible system for sleep recording using three criteria: eye movements, body movements, and submental electromyogram. The signals are recorded on a four-channel Medilog casette tape and displayed by a mingograph at very low speed. The record is then scored after certain criteria for stages wake,
K, Kayed, P E, Hesla, O, Røsjø
openaire +2 more sources
Machine Learning‐Enabled Noncontact Sleep Structure Prediction
Advanced Intelligent Systems, 2022 Automated, effective and efficient sleep‐stage monitoring and structure analysis is an essential enabling procedure for healthcare automation. Sleep diagnosis by polysomnography is a golden standard but expensive procedure involving huge effort from ...
Qian Zhai +6 more
doaj +1 more source
Sensors, 2021 Surveillance of sleeping posture is essential for bed-ridden patients or individuals at-risk of falling out of bed. Existing sleep posture monitoring and classification systems may not be able to accommodate the covering of a blanket, which represents a ...
Andy Yiu-Chau Tam +5 more
doaj +1 more source
IEEE Transactions on Biomedical Engineering, 2021 Modern sleep monitoring development is shifting towards the use of unobtrusive sensors combined with algorithms for automatic sleep scoring. Many different combinations of wet and dry electrodes, ear-centered, forehead-mounted or headband-inspired ...
Kaare B. Mikkelsen +5 more
semanticscholar +1 more source
The Consensus Sleep Diary: Standardizing Prospective Sleep Self-Monitoring [PDF]
Sleep, 2012 To present an expert consensus, standardized, patient-informed sleep diary.Sleep diaries from the original expert panel of 25 attendees of the Pittsburgh Assessment Conference(1) were collected and reviewed. A smaller subset of experts formed a committee and reviewed the compiled diaries.
Colleen E, Carney +6 more
openaire +2 more sources
A triangle-shape region of interest in cardiorespiratory estimation during sleep monitoring
Current Directions in Biomedical Engineering, 2023 Introduction: With advancements in sensor and communication technologies, sleep monitoring is moving out of specialized clinics and into everyday homes.
Haghi Mostafa +3 more
doaj +1 more source
Ear-EEG sleep monitoring data sets. [PDF]
Sci DataHere we present data from two studies, both of which had the purpose of investigating the potential of using electroencephalograms measured from the ear ('ear-EEG') for sleep monitoring in a home environment. In total, 320 nights were recorded.
Bjarke Mikkelsen K +9 more
europepmc +4 more sources