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Literature review of stroke assessment for upper-extremity physical function via EEG, EMG, kinematic, and kinetic measurements and their reliability
Background Significant clinician training is required to mitigate the subjective nature and
achieve useful reliability between measurement occasions and therapists. Previous …
achieve useful reliability between measurement occasions and therapists. Previous …
Electroencephalogram (EEG) with or without transcranial magnetic stimulation (TMS) as biomarkers for post-stroke recovery: a narrative review
Stroke is one of the leading causes of death and disability. Despite the high prevalence of
stroke, characterizing the acute neural recovery patterns that follow stroke and predicting …
stroke, characterizing the acute neural recovery patterns that follow stroke and predicting …
EEG biomarkers related with the functional state of stroke patients
Introduction Recent studies explored promising new quantitative methods to analyze
electroencephalography (EEG) signals. This paper analyzes the correlation of two EEG …
electroencephalography (EEG) signals. This paper analyzes the correlation of two EEG …
[Retracted] An Internet of Medical Things‐Based Model for Real‐Time Monitoring and Averting Stroke Sensors
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 …
diseases and are the most important reasons for mortality and morbidity all over the world …
Predicting stroke severity with a 3-min recording from the Muse portable EEG system for rapid diagnosis of stroke
In this study, we demonstrated the use of low-cost portable electroencephalography (EEG)
as a method for prehospital stroke diagnosis. We used a portable EEG system to record data …
as a method for prehospital stroke diagnosis. We used a portable EEG system to record data …
Effect of brain-computer interface training based on non-invasive electroencephalography using motor imagery on functional recovery after stroke-a systematic review …
Background Training with brain-computer interface (BCI) technology in the rehabilitation of
patients after a stroke is rapidly develo**. Numerous RCT investigated the effects of BCI …
patients after a stroke is rapidly develo**. Numerous RCT investigated the effects of BCI …
The prognostic utility of electroencephalography in stroke recovery: a systematic review and meta-analysis
AA Vatinno, A Simpson… - … and neural repair, 2022 - journals.sagepub.com
Background Improved ability to predict patient recovery would guide post-stroke care by
hel** clinicians personalize treatment and maximize outcomes. Electroencephalography …
hel** clinicians personalize treatment and maximize outcomes. Electroencephalography …
Delta power is higher and more symmetrical in ischemic stroke patients with cortical involvement
C Fanciullacci, F Bertolucci, G Lamola… - Frontiers in human …, 2017 - frontiersin.org
A brain injury resulting from unilateral stroke critically alters brain functionality and the
complex balance within the cortical activity. Such modifications may critically depend on …
complex balance within the cortical activity. Such modifications may critically depend on …
Neuromechanical biomarkers for robotic neurorehabilitation
One of the current challenges for translational rehabilitation research is to develop the
strategies to deliver accurate evaluation, prediction, patient selection, and decision-making …
strategies to deliver accurate evaluation, prediction, patient selection, and decision-making …
Detecting abnormal electroencephalograms using deep convolutional networks
Objectives Electroencephalography (EEG) is a central part of the medical evaluation for
patients with neurological disorders. Training an algorithm to label the EEG normal vs …
patients with neurological disorders. Training an algorithm to label the EEG normal vs …