Results 221 to 230 of about 141,761 (332)

WTools: A MATLAB-based toolbox for time-frequency analysis of infant data. [PDF]

PLoS One
Ferrari A, Filippin L, Buiatti M, Parise E.   +3 more
europepmc   +1 more source

Clinical electroencephalography : A fruitful way for solving psychiatry

, 1997
Reiichi Inoue
openalex   +2 more sources

Myoclonus

Movement Disorders Clinical Practice, EarlyView.
Masashi Hamada
wiley   +1 more source

Applications of Artificial Intelligence in Neurological Voice Disorders

World Journal of Otorhinolaryngology - Head and Neck Surgery, EarlyView.
ABSTRACT Neurological voice disorders, such as Parkinson's disease, laryngeal dystonia, and stroke‐induced dysarthria, significantly impact speech production and communication. Traditional diagnostic methods rely on subjective assessment, whereas artificial intelligence (AI) offers objective, noninvasive, and scalable solutions for voice analysis. This
Dongren Yao, Aki Koivu, Kristina Simonyan   +2 more
wiley   +1 more source

Subacute Encephalopathy and Seizures in Alcoholics Syndrome. [PDF]

JMA J
Shinohara RC, Takayanagi S, Furutaka Y, Watanabe S.   +3 more
europepmc   +1 more source

Ambulatory quantitative electroencephalography using the holter method [PDF]

, 1986
Jacques Paty, Bernard Claverie, Jean Berthomieu, Didier Cugy, Jean-Luc Cadiot   +4 more
openalex  

Involuntary Eye Movements as a Clue to Diagnosis

Movement Disorders Clinical Practice, EarlyView.
Victor Rebelo Procaci, Raphael Pinheiro Camurugy da Hora, Thiago Yoshinaga Tonholo Silva, Orlando Graziani Povoas Barsottini, José Luiz Pedroso   +4 more
wiley   +1 more source

Enhancing patient rehabilitation predictions with a hybrid anomaly detection model: Density‐based clustering and interquartile range methods

CAAI Transactions on Intelligence Technology, EarlyView.
Abstract In recent years, there has been a concerted effort to improve anomaly detection techniques, particularly in the context of high‐dimensional, distributed clinical data. Analysing patient data within clinical settings reveals a pronounced focus on refining diagnostic accuracy, personalising treatment plans, and optimising resource allocation to ...
Murad Ali Khan, Jong‐Hyun Jang, Naeem Iqbal, Harun Jamil, Syed Shehryar Ali Naqvi, Salabat Khan, Jae‐Chul Kim, Do‐Hyeun Kim   +7 more
wiley   +1 more source

Effect of electroencephalography-based motor imagery neurofeedback on mu suppression during motor attempt in patients with stroke. [PDF]

J Neuroeng Rehabil
Cha S, Kim KT, Chang WK, Paik NJ, Choi JS, Lim H, Kim WS, Ku J.   +7 more
europepmc   +1 more source

Anticipatory Biasing of Visuospatial Attention Indexed by Retinotopically Specific α-Bank Electroencephalography Increases over Occipital Cortex

, 2000
Michael S. Worden, John J. Foxe, Norman C. Wang, Gregory V. Simpson   +3 more
openalex   +1 more source