Technologies for sleep monitoring at home: Wearables and nearables

H Yoon, SH Choi - Biomedical Engineering Letters, 2023 - Springer
Sleep is an essential part of our lives and daily sleep monitoring is crucial for maintaining
good health and well-being. Traditionally, the gold standard method for sleep monitoring is …

Pyjamas, polysomnography and professional athletes: The role of sleep tracking Technology in Sport

MW Driller, IC Dunican, SET Omond, O Boukhris… - Sports, 2023 - mdpi.com
Technological advances in sleep monitoring have seen an explosion of devices used to
gather important sleep metrics. These devices range from instrumented 'smart pyjamas' …

Brain waste removal system and sleep: Photobiomodulation as an innovative strategy for night therapy of brain diseases

O Semyachkina-Glushkovskaya, I Fedosov… - International journal of …, 2023 - mdpi.com
Emerging evidence suggests that an important function of the sleeping brain is the removal
of wastes and toxins from the central nervous system (CNS) due to the activation of the brain …

Mixed-input deep learning approach to sleep/wake state classification by using EEG signals

MN Hasan, I Koo - Diagnostics, 2023 - mdpi.com
Sleep stage classification plays a pivotal role in predicting and diagnosing numerous health
issues from human sleep data. Manual sleep staging requires human expertise, which is …

Self‐applied somnography: technical feasibility of electroencephalography and electro‐oculography signal characteristics in sleep staging of suspected sleep …

M Rusanen, H Korkalainen… - Journal of Sleep …, 2024 - Wiley Online Library
Sleep recordings are increasingly being conducted in patients' homes where patients apply
the sensors themselves according to instructions. However, certain sensor types such as …

Advancements in Wearable EEG Technology for Improved Home-Based Sleep Monitoring and Assessment: A Review

M Mohamed, N Mohamed, JG Kim - Biosensors, 2023 - mdpi.com
Sleep is a fundamental aspect of daily life, profoundly impacting mental and emotional well-
being. Optimal sleep quality is vital for overall health and quality of life, yet many individuals …

“Health Is the Real Wealth”: Unsupervised Approach to Improve Explainability in Health-Based Recommendation Systems

B Ortiz-Viso, C Fernandez-Basso… - … Conference on Flexible …, 2023 - Springer
Nutritional recommendation systems are one of the major challenges in the field of
recommendation systems. These systems can be based on various aspects such as …

Sleep Stage Classification with Learning from Evolving Datasets

H Li, X Chen, G Ditzler, WDS Killgore, SF Quan… - Authorea …, 2023 - techrxiv.org
The precise measurement of sleep stages is crucial for evaluating sleep quality. Deep
learning has recently been utilized for automatic sleep stage classification, demonstrating …

[PDF][PDF] Evaluation of Wearable Technologies in Physiotherapy and Rehabilitation

O Şahin, MO Kethüdaoğlu, MK Altunok… - Multiple Sclerosis …, 2023 - jag.journalagent.com
Wearable technologies are defined as electronic devices which can be carried on clothes
and accessories and provide psychological monitoring and biological feedback as well …

Check for updates

B Ortiz-Viso¹, C Fernandez-Basso¹… - … , Spain, September 5 …, 2023 - books.google.com
Nutritional recommendation systems are one of the major challenges in the field of
recommendation systems. These systems can be based on various aspects such as …