The RNS System: brain-responsive neurostimulation for the treatment of epilepsy
B Jarosiewicz, M Morrell - Expert review of medical devices, 2021 - Taylor & Francis
Introduction: Epilepsy affects more than 1% of the US population, and over 30% of adults
with epilepsy do not respond to antiseizure medications without life-impacting medication …
with epilepsy do not respond to antiseizure medications without life-impacting medication …
Single‐channel EEG classification of sleep stages based on REM microstructure
I Rechichi, M Zibetti, L Borzì, G Olmo… - Healthcare technology …, 2021 - Wiley Online Library
Rapid‐eye movement (REM) sleep, or paradoxical sleep, accounts for 20–25% of total night‐
time sleep in healthy adults and may be related, in pathological cases, to parasomnias. A …
time sleep in healthy adults and may be related, in pathological cases, to parasomnias. A …
Anterior nucleus of the thalamus seizure detection in ambulatory humans
There is a paucity of data to guide anterior nucleus of the thalamus (ANT) deep brain
stimulation (DBS) with brain sensing. The clinical Medtronic Percept DBS device provides …
stimulation (DBS) with brain sensing. The clinical Medtronic Percept DBS device provides …
An automated sleep-state classification algorithm for quantifying sleep timing and sleep-dependent dynamics of electroencephalographic and cerebral metabolic …
Introduction Rodent sleep research uses electroencephalography (EEG) and
electromyography (EMG) to determine the sleep state of an animal at any given time. EEG …
electromyography (EMG) to determine the sleep state of an animal at any given time. EEG …
SleepContextNet: A temporal context network for automatic sleep staging based single-channel EEG
C Zhao, J Li, Y Guo - Computer Methods and Programs in Biomedicine, 2022 - Elsevier
Background and objective: Single-channel EEG is the most popular choice of sensing
modality in sleep staging studies, because it widely conforms to the sleep staging …
modality in sleep staging studies, because it widely conforms to the sleep staging …
An automatic sleep disorder detection based on EEG cross-frequency coupling and random forest model
Objective. Sleep disorders are medical disorders of a subject's sleep architecture and based
on their severity, they can interfere with mental, emotional and physical functioning. The …
on their severity, they can interfere with mental, emotional and physical functioning. The …
Edge deep learning for neural implants: a case study of seizure detection and prediction
X Liu, AG Richardson - Journal of Neural Engineering, 2021 - iopscience.iop.org
Objective. Implanted devices providing real-time neural activity classification and control are
increasingly used to treat neurological disorders, such as epilepsy and Parkinson's disease …
increasingly used to treat neurological disorders, such as epilepsy and Parkinson's disease …
Automatic detection of cortical arousals in sleep and their contribution to daytime sleepiness
Objective Significant interscorer variability is found in manual scoring of arousals in
polysomnographic recordings (PSGs). We propose a fully automatic method, the Multimodal …
polysomnographic recordings (PSGs). We propose a fully automatic method, the Multimodal …
Seizure-related differences in biosignal 24-h modulation patterns
A seizure likelihood biomarker could improve seizure monitoring and facilitate adjustment of
treatments based on seizure risk. Here, we tested differences in patient-specific 24-h …
treatments based on seizure risk. Here, we tested differences in patient-specific 24-h …
[HTML][HTML] Adaptive Deep Brain Stimulation for sleep stage targeting in Parkinson's disease
Background Sleep dysfunction is disabling in people with Parkinson's disease and is linked
to worse motor and non-motor outcomes. Sleep-specific adaptive Deep Brain Stimulation …
to worse motor and non-motor outcomes. Sleep-specific adaptive Deep Brain Stimulation …