[HTML][HTML] A review on EMG/EEG based control scheme of upper limb rehabilitation robots for stroke patients
SM Sarhan, MZ Al-Faiz, AM Takhakh - Heliyon, 2023 - cell.com
Stroke is a common worldwide health problem and a crucial contributor to gained disability.
The abilities of people, who are subjected to stroke, to live independently are significantly …
The abilities of people, who are subjected to stroke, to live independently are significantly …
Basics of electroencephalography for neuropsychiatrist
HJ Eun - Journal of Korean Neuropsychiatric Association, 2019 - synapse.koreamed.org
In 1924, Hans Berger, a German psychiatrist, recorded the brain waves from a human brain
for the first time. Many advances have been made in this field since then. Currently, brain …
for the first time. Many advances have been made in this field since then. Currently, brain …
Prediction of epileptic seizures with convolutional neural networks and functional near-infrared spectroscopy signals
There have been different efforts to predict epileptic seizures and most of them are based on
the analysis of electroencephalography (EEG) signals; however, recent publications have …
the analysis of electroencephalography (EEG) signals; however, recent publications have …
Efficacy of transformer networks for classification of EEG data
With the unprecedented success of transformer networks in natural language processing
(NLP), recently, they have been successfully adapted to areas like computer vision …
(NLP), recently, they have been successfully adapted to areas like computer vision …
Healthcare IoT-based affective state mining using a deep convolutional neural network
Human effects are complex phenomena, which are studied for pervasive healthcare and
well-being. The legacy pen and paper-based affective state determination methods are …
well-being. The legacy pen and paper-based affective state determination methods are …
Efficacy of transformer networks for classification of raw EEG data
With the unprecedented success of transformer networks in natural language processing
(NLP), recently, they have been successfully adapted to areas like computer vision …
(NLP), recently, they have been successfully adapted to areas like computer vision …
Local neuronal excitation and global inhibition during epileptic fast ripples in humans
Understanding the neuronal basis of epileptic activity is a major challenge in neurology.
Cellular integration into larger scale networks is all the more challenging. In the local field …
Cellular integration into larger scale networks is all the more challenging. In the local field …
International Post Stroke Epilepsy Research Consortium (IPSERC): a consortium to accelerate discoveries in preventing epileptogenesis after stroke
Recent advances in stroke management have led to a significant reduction in stroke
mortality [1–4]; however, there has not been much progress in the prevention and treatment …
mortality [1–4]; however, there has not been much progress in the prevention and treatment …
Is two really better than one? Examining the superiority of dual modality neurophysiological monitoring during carotid endarterectomy: a meta-analysis
K Thiagarajan, HL Cheng, JE Huang, P Natarajan… - World Neurosurgery, 2015 - Elsevier
Background Periprocedural stroke after carotid endarterectomy increases long-term
mortality. Intraoperative monitoring with electroencephalography (EEG) and somatosensory …
mortality. Intraoperative monitoring with electroencephalography (EEG) and somatosensory …
[HTML][HTML] Effects of hippocampal low-frequency stimulation in idiopathic non-human primate epilepsy assessed via a remote-sensing-enabled neurostimulator
Individuals with pharmacoresistant epilepsy remain a large and under-treated patient
population. Continued technologic advancements in implantable neurostimulators have …
population. Continued technologic advancements in implantable neurostimulators have …