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

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...

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Main Authors: Manal Mohamed, Nourelhuda Mohamed, Jae Gwan Kim
Format: Article
Language:English
Published: MDPI AG 2023-12-01
Series:Biosensors
Subjects:
Online Access:https://www.mdpi.com/2079-6374/13/12/1019
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author Manal Mohamed
Nourelhuda Mohamed
Jae Gwan Kim
author_facet Manal Mohamed
Nourelhuda Mohamed
Jae Gwan Kim
author_sort Manal Mohamed
collection DOAJ
description 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.
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spelling doaj.art-d167fe05edf844cf8c802990d0e76eb82023-12-22T13:56:22ZengMDPI AGBiosensors2079-63742023-12-011312101910.3390/bios13121019Advancements in Wearable EEG Technology for Improved Home-Based Sleep Monitoring and Assessment: A ReviewManal Mohamed0Nourelhuda Mohamed1Jae Gwan Kim2Biomedical Science and Engineering Department, Gwangju Institute of Science and Technology, Gwangju 61005, Republic of KoreaBiomedical Science and Engineering Department, Gwangju Institute of Science and Technology, Gwangju 61005, Republic of KoreaBiomedical Science and Engineering Department, Gwangju Institute of Science and Technology, Gwangju 61005, Republic of KoreaSleep 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.https://www.mdpi.com/2079-6374/13/12/1019EEGwearablesleep monitoring
spellingShingle Manal Mohamed
Nourelhuda Mohamed
Jae Gwan Kim
Advancements in Wearable EEG Technology for Improved Home-Based Sleep Monitoring and Assessment: A Review
Biosensors
EEG
wearable
sleep monitoring
title Advancements in Wearable EEG Technology for Improved Home-Based Sleep Monitoring and Assessment: A Review
title_full Advancements in Wearable EEG Technology for Improved Home-Based Sleep Monitoring and Assessment: A Review
title_fullStr Advancements in Wearable EEG Technology for Improved Home-Based Sleep Monitoring and Assessment: A Review
title_full_unstemmed Advancements in Wearable EEG Technology for Improved Home-Based Sleep Monitoring and Assessment: A Review
title_short Advancements in Wearable EEG Technology for Improved Home-Based Sleep Monitoring and Assessment: A Review
title_sort advancements in wearable eeg technology for improved home based sleep monitoring and assessment a review
topic EEG
wearable
sleep monitoring
url https://www.mdpi.com/2079-6374/13/12/1019
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