The Role of EEG in the Diagnosis and Management of Patients with Sleep Disorders

Behzad, Ramina; Behzad, Aida

doi:10.4236/jbbs.2021.1110021

Cited by 8 publications

(4 citation statements)

References 23 publications

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“…High-quality and continuous EEG monitoring is desirable for EEG-related research, including sleep monitoring and evaluating and treating sleep disorders. 2 , 3 , 4 Existing continuous EEG monitoring technologies suffer from fragile connections, long-term stability, and complex preparation for electrodes under real-life conditions. This protocol describes a technique to fabricate an adhesive, injectable, room-temperature (RT) spontaneous cross-linked, and conductive hydrogel (AIRTrode).…”

Section: Before You Beginmentioning

confidence: 99%

Protocol to fabricate a self-adhesive and long-term stable hydrogel for sleep EEG recording

Hsieh,

Yao,

Baird

et al. 2024

STAR Protocols

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Section: Before You Beginmentioning

confidence: 99%

Protocol to fabricate a self-adhesive and long-term stable hydrogel for sleep EEG recording

Hsieh,

Yao,

Baird

et al. 2024

STAR Protocols

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“…Additionally, it can aid in the diagnosis of mood disorders like depression and anxiety [18]. EEG can also help identify individuals who may be experiencing sleep problems, such as insomnia [19].…”

Section: Introductionmentioning

confidence: 99%

Review of EEG-Based Biometrics in 5G-IoT: Current Trends and Future Prospects

Beyrouthy,

Mostafa,

Roshdy

et al. 2024

Applied Sciences

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The increasing integration of the Internet of Things (IoT) into daily life has led to significant changes in our social interactions. The advent of innovative IoT solutions, combined with the enhanced capabilities and expanded reach of 5G wireless networks, is altering the way humans interact with machines. Notably, the advancement of edge computing, underpinned by 5G networks within IoT frameworks, has markedly extended human sensory perception and interaction. A key biometric within these IoT applications is electroencephalography (EEG), recognized for its sensitivity, cost-effectiveness, and distinctiveness. Traditionally linked to brain–computer interface (BCI) applications, EEG is now finding applications in a wider array of fields, from neuroscience research to the emerging area of neuromarketing. The primary aim of this article is to offer a comprehensive review of the current challenges and future directions in EEG data acquisition, processing, and classification, with a particular focus on the increasing reliance on data-driven methods in the realm of 5G wireless network-supported EEG-enabled IoT solutions. Additionally, the article presents a case study on EEG-based emotion recognition, exemplifying EEG’s role as a biometric tool in the IoT domain, propelled by 5G technology.

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“…EEG is used to diagnose brain-related seizures and inflammation, including epilepsy, Parkinson’s disease [ 6 ], and stroke [ 7 ]. The application of EEG in brain–computer interfaces [ 8 ], sleep disorder diagnosis [ 9 ], and cognitive neuroscience [ 10 ] is booming.…”

Section: Introductionmentioning

confidence: 99%

Hook Fabric Electroencephalography Electrode for Brain Activity Measurement without Shaving the Head

Tseghai,

Malengier,

Fante

et al. 2023

Polymers

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In this research, novel electroencephalogram (EEG) electrodes were developed to detect high-quality EEG signals without the requirement of conductive gels, skin treatments, or head shaving. These electrodes were created using electrically conductive hook fabric with a resistance of 1 Ω/sq. The pointed hooks of the conductive fabric establish direct contact with the skin and can penetrate through hair. To ensure excellent contact between the hook fabric electrode and the scalp, a knitted-net EEG bridge cap with a bridging effect was employed. The results showed that the hook fabric electrode exhibited lower skin-to-electrode impedance compared to the dry Ag/AgCl comb electrode. Additionally, it collected high-quality signals on par with the standard wet gold cups and commercial dry Ag/AgCl comb electrodes. Moreover, the hook fabric electrode displayed a higher signal-to-noise ratio (33.6 dB) with a 4.2% advantage over the standard wet gold cup electrode. This innovative electrode design eliminates the need for conductive gel and head shaving, offering enhanced flexibility and lightweight characteristics, making it ideal for integration into textile structures and facilitating convenient long-term monitoring.

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The Role of EEG in the Diagnosis and Management of Patients with Sleep Disorders

Cited by 8 publications

References 23 publications

Protocol to fabricate a self-adhesive and long-term stable hydrogel for sleep EEG recording

Protocol to fabricate a self-adhesive and long-term stable hydrogel for sleep EEG recording

Review of EEG-Based Biometrics in 5G-IoT: Current Trends and Future Prospects

Hook Fabric Electroencephalography Electrode for Brain Activity Measurement without Shaving the Head

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