Results 61 to 70 of about 858,188 (234)
BiHeartS: Bilateral Heart Rate from multiple devices and body positions for Sleep measurement Dataset [PDF]
arXiv, 2023 Sleep is the primary mean of recovery from accumulated fatigue and thus plays a crucial role in fostering people's mental and physical well-being. Sleep quality monitoring systems are often implemented using wearables that leverage their sensing capabilities to provide sleep behaviour insights and recommendations to users.
arxiv
Unperceivable Designs of Wearable Electronics
Advanced Materials, EarlyView.Unperceivable wearable technologies seamlessly integrate into everyone's daily life, for healthcare and Internet‐of‐Things applications. By remaining completely unnoticed both visually and tactilely, by the user and others, they ensure medical privacy and allow natural social interactions.
Yijun Liu +2 more
wiley +1 more source
Advanced Materials Interfaces, EarlyView.This review article explores applications in wearable sensors such as mechanical, electrophysiological, and gas sensors, highlighting advancements that improve device performance and predictability. In addition to analyzing graphene's synthesis techniques, including traditional and advanced laser‐based methods, the article discusses fabrication ...
Fatemeh Saeedi +2 more
wiley +1 more source
Classification Of Sleep-Wake State In A Ballistocardiogram System Based On Deep Learning [PDF]
arXiv, 2020 Sleep state classification is vital in managing and understanding sleep patterns and is generally the first step in identifying acute or chronic sleep disorders. However, it is essential to do this without affecting the natural environment or conditions of the subject during their sleep. Techniques such as Polysomnography(PSG) are obtrusive and are not
arxiv
SleepEEGNet: Automated Sleep Stage Scoring with Sequence to Sequence Deep Learning Approach [PDF]
, 2019 Electroencephalogram (EEG) is a common base signal used to monitor brain activity and diagnose sleep disorders. Manual sleep stage scoring is a time-consuming task for sleep experts and is limited by inter-rater reliability. In this paper, we propose an automatic sleep stage annotation method called SleepEEGNet using a single-channel EEG signal.
arxiv +1 more source
Advanced Sensor Research, EarlyView.Magnetic particle spectroscopy and imaging represent promising tools, particularly when combined with manganese‐ferrite nanoparticles as versatile theranostic agents. Adjusting the manganese content allows for simultaneous multi‐color tracer detection and reactive oxygen species sensing via magnetic particle spectroscopy and imaging, creating new ...
Fabian H. L. Starsich +10 more
wiley +1 more source
Causal inference and evidence-based recommendations in occupational health and safety research
Scandinavian Journal of Work, Environment & Health, 2020 In this issue of the Journal, a group of distinguished Nordic researchers, led by Anne Helene Garde and including four of our Associated Editors, present a discussion paper that originated from a workshop and provides detailed recommendations on night ...
Reiner Rugulies, Alex Burdorf
doaj +1 more source
HARMLESS Early Warning System for Advanced Materials
Advanced Sustainable Systems, EarlyView.The HARMLESS Early Warning System tackles Advanced Materials (AdMa) risk governance by providing a framework, organised in two tiers, underpinned with methods/tools to support risk assessors in the pre‐assessment preceding risk assessment. It allows for initial screening to identify AdMa with concerns considering exposure, hazards, sustainability and ...
Julia Prinz +11 more
wiley +1 more source
WiSleep: Inferring Sleep Duration at Scale Using Passive WiFi Sensing [PDF]
arXiv, 2021 Sleep deprivation is a public health concern that significantly impacts one's well-being and performance. Sleep is an intimate experience, and state-of-the-art sleep monitoring solutions are highly-personalized to individual users. With a motivation to expand sleep monitoring capabilities at a large scale and contribute sleep data to public health ...
arxiv
Advanced Science, EarlyView.Noise‐induced synaptopathy (NIS) is largely reversible due to self‐repair. NIS and noise‐induced hidden hearing loss are two concepts with similarities and differences. The major hearing deficits in NIHHL are temporal processing disorders. The translation of animal data in NIS studies to humans is hindered by many factors.
Hui Wang, Steven J Aiken, Jian Wang
wiley +1 more source