Modulation of brain plasticity in stroke: a novel model for neurorehabilitation

G Di Pino, G Pellegrino, G Assenza, F Capone… - Nature Reviews …, 2014 - nature.com
Noninvasive brain stimulation (NIBS) techniques can be used to monitor and modulate the
excitability of intracortical neuronal circuits. Long periods of cortical stimulation can produce …

Recommendations on the use of EEG monitoring in critically ill patients: consensus statement from the neurointensive care section of the ESICM

J Claassen, FS Taccone, P Horn, M Holtkamp… - Intensive care …, 2013 - Springer
Objectives Recommendations for EEG monitoring in the ICU are lacking. The
Neurointensive Care Section of the ESICM assembled a multidisciplinary group to establish …

Explainable artificial intelligence model for stroke prediction using EEG signal

MS Islam, I Hussain, MM Rahman, SJ Park… - Sensors, 2022 - mdpi.com
State-of-the-art healthcare technologies are incorporating advanced Artificial Intelligence
(AI) models, allowing for rapid and easy disease diagnosis. However, most AI models are …

Quantitative EEG for the detection of brain ischemia

B Foreman, J Claassen - Critical care, 2012 - Springer
Monitoring in most intensive care units (ICUs) is limited to continuous assessments of
cardiopulmonary function, whereas brain monitoring has traditionally been limited to serial …

Literature review of stroke assessment for upper-extremity physical function via EEG, EMG, kinematic, and kinetic measurements and their reliability

RM Maura, S Rueda Parra, RE Stevens… - Journal of …, 2023 - Springer
Background Significant clinician training is required to mitigate the subjective nature and
achieve useful reliability between measurement occasions and therapists. Previous …

EEG in ischaemic stroke: quantitative EEG can uniquely inform (sub-) acute prognoses and clinical management

S Finnigan, MJAM Van Putten - Clinical neurophysiology, 2013 - Elsevier
Investigations of (sub-) acute ischaemic stroke (IS) employing quantitative
electroencephalographic (QEEG) methods, in concert with other assessments, are reviewed …

Defining abnormal slow EEG activity in acute ischaemic stroke: Delta/alpha ratio as an optimal QEEG index

S Finnigan, A Wong, S Read - Clinical Neurophysiology, 2016 - Elsevier
Objective Quantitative electroencephalographic (QEEG) indices sensitive to abnormal slow
(relative to faster) activity power seem uniquely informative for clinical management of …

Predicting sex from brain rhythms with deep learning

MJAM Van Putten, S Olbrich, M Arns - Scientific reports, 2018 - nature.com
We have excellent skills to extract sex from visual assessment of human faces, but
assessing sex from human brain rhythms seems impossible. Using deep convolutional …

Advanced neurotechnologies for the restoration of motor function

S Micera, M Caleo, C Chisari, FC Hummel, A Pedrocchi - Neuron, 2020 - cell.com
Stroke is one of the leading causes of long-term disability. Advanced technological solutions
(" neurotechnologies") exploiting robotic systems and electrodes that stimulate the nervous …

[Retracted] An Internet of Medical Things‐Based Model for Real‐Time Monitoring and Averting Stroke Sensors

HZ Almarzouki, H Alsulami, A Rizwan… - Journal of …, 2021 - Wiley Online Library
In recent years, neurological diseases have become a standout amongst all the other
diseases and are the most important reasons for mortality and morbidity all over the world …