التفاصيل البيبلوغرافية
| العنوان: |
Advancements in Wearable EEG Technology for Improved Home-Based Sleep Monitoring and Assessment: A Review |
| المؤلفون: |
Manal Mohamed, Nourelhuda Mohamed, Jae Gwan Kim |
| المصدر: |
Biosensors, Vol 13, Iss 12, p 1019 (2023) |
| بيانات النشر: |
MDPI AG, 2023. |
| سنة النشر: |
2023 |
| المجموعة: |
LCC:Biotechnology |
| مصطلحات موضوعية: |
EEG, wearable, sleep monitoring, Biotechnology, TP248.13-248.65 |
| الوصف: |
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 struggle with sleep-related difficulties. In the past, polysomnography (PSG) has served as the gold standard for assessing sleep, but its bulky nature, cost, and the need for expertise has made it cumbersome for widespread use. By recognizing the need for a more accessible and user-friendly approach, wearable home monitoring systems have emerged. EEG technology plays a pivotal role in sleep monitoring, as it captures crucial brain activity data during sleep and serves as a primary indicator of sleep stages and disorders. This review provides an overview of the most recent advancements in wearable sleep monitoring leveraging EEG technology. We summarize the latest EEG devices and systems available in the scientific literature, highlighting their design, form factors, materials, and methods of sleep assessment. By exploring these developments, we aim to offer insights into cutting-edge technologies, shedding light on wearable EEG sensors for advanced at-home sleep monitoring and assessment. This comprehensive review contributes to a broader perspective on enhancing sleep quality and overall health using wearable EEG sensors. |
| نوع الوثيقة: |
article |
| وصف الملف: |
electronic resource |
| اللغة: |
English |
| تدمد: |
2079-6374 |
| Relation: |
https://www.mdpi.com/2079-6374/13/12/1019; https://doaj.org/toc/2079-6374 |
| DOI: |
10.3390/bios13121019 |
| URL الوصول: |
https://doaj.org/article/d167fe05edf844cf8c802990d0e76eb8 |
| رقم الانضمام: |
edsdoj.167fe05edf844cf8c802990d0e76eb8 |
| قاعدة البيانات: |
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