[HTML][HTML] Resting-state background features demonstrate multidien cycles in long-term EEG device recordings

WKS Ojemann, BH Scheid, S Mouchtaris, A Lucas… - Brain Stimulation, 2023 - Elsevier
Background Longitudinal EEG recorded by implanted devices is critical for understanding
and managing epilepsy. Recent research reports patient-specific, multi-day cycles in device …

Data-driven modeling of sleep EEG and EOG reveals characteristics indicative of pre-Parkinson's and Parkinson's disease

JAE Christensen, M Zoetmulder, H Koch… - Journal of neuroscience …, 2014 - Elsevier
Background Manual scoring of sleep relies on identifying certain characteristics in
polysomnograph (PSG) signals. However, these characteristics are disrupted in patients …

[HTML][HTML] Machine learning polysomnographically-derived electroencephalography biomarkers predictive of epworth sleepiness scale

M Araujo, S Ghosn, L Wang, N Hariadi, S Wells… - Scientific Reports, 2023 - nature.com
Excessive daytime sleepiness (EDS) causes difficulty in concentrating and continuous
fatigue during the day. In the clinical setting, the assessment and diagnosis of EDS rely …

Inferring sleep stage from local field potentials recorded in the subthalamic nucleus of Parkinson's patients

E Christensen, A Abosch, JA Thompson… - Journal of Sleep …, 2019 - Wiley Online Library
Parkinson's disease (PD) is highly comorbid with sleep dysfunction. In contrast to motor
symptoms, few therapeutic interventions exist to address sleep symptoms in PD …

Automatic a-phase detection of cyclic alternating patterns in sleep using dynamic temporal information

S Hartmann, M Baumert - IEEE Transactions on Neural …, 2019 - ieeexplore.ieee.org
The identification of recurrent, transient perturbations in brain activity during sleep, so called
cyclic alternating patterns (CAP), is of significant interest as they have been linked to …

[HTML][HTML] Pre-gelled electrode grid for self-applied EEG sleep monitoring at home

CF da Silva Souto, W Pätzold, M Paul… - Frontiers in …, 2022 - frontiersin.org
The need for diagnostic capabilities for sleep disorders such as sleep apnea and insomnia
far exceeds the capacity of inpatient sleep laboratories. Some home monitoring systems …

Systematic comparison between a wireless EEG system with dry electrodes and a wired EEG system with wet electrodes

JWY Kam, S Griffin, A Shen, S Patel, H Hinrichs… - NeuroImage, 2019 - Elsevier
Recent advances in dry electrodes technology have facilitated the recording of EEG in
situations not previously possible, thanks to the relatively swift electrode preparation and …

[HTML][HTML] A deep transfer learning framework for sleep stage classification with single-channel EEG signals

H ElMoaqet, M Eid, M Ryalat, T Penzel - Sensors, 2022 - mdpi.com
The polysomnogram (PSG) is the gold standard for evaluating sleep quality and disorders.
Attempts to automate this process have been hampered by the complexity of the PSG …

[HTML][HTML] Visualization of whole-night sleep EEG from 2-channel mobile recording device reveals distinct deep sleep stages with differential electrodermal activity

JA Onton, DY Kang, TP Coleman - Frontiers in human neuroscience, 2016 - frontiersin.org
Brain activity during sleep is a powerful marker of overall health, but sleep lab testing is
prohibitively expensive and only indicated for major sleep disorders. This report …

[HTML][HTML] Analyzing human sleep EEG: A methodological primer with code implementation

R Cox, J Fell - Sleep medicine reviews, 2020 - Elsevier
Recent years have witnessed a surge in human sleep electroencephalography (EEG)
studies, employing increasingly sophisticated analysis strategies to relate …