Results 131 to 140 of about 3,887,920 (279)
EEG signal classification using PSO trained RBF neural network for epilepsy identification
The electroencephalogram (EEG) is a low amplitude signal generated in the brain, as a result of information flow during the communication of several neurons.
S. Satapathy +2 more
semanticscholar +1 more source
A Language‐Guided Multimodal Foundation Model for Zero‐Shot and Multi‐Task Brain Signal Analysis
METIS aligns brain signals with natural‐language instructions to enable zero‐shot and multi‐task brain signal analysis. Pretrained on over 70 000 h of EEG and iEEG recordings, it generalizes across sleep stage classification, epilepsy detection, and neurological disorder diagnosis, providing a scalable foundation model for clinically meaningful brain ...
Mingzhi Chen +3 more
wiley +1 more source
This work presents a method for classifying EEG (Electroencephalogram) signals generated when a person concentrates on specific words, defined as “Imagined Speech”. Imagined speech is essential to enhance problem-solving, memory, and language development.
Edgar Lara-Arellano +3 more
doaj +1 more source
Novel joint algorithm based on EEG in complex scenarios
At present, in the field of electroencephalogram (EEG) signal recognition, the classification and recognition in complex scenarios with more categories of EEG signals have gained more attention. Based on the joint fast Fourier transform (FFT) and support
Dongwei Chen +6 more
doaj +1 more source
A Case of Multiple Mitochondrial Dysfunctions Syndrome 1 and Review of the Literature
ABSTRACT Multiple mitochondrial dysfunctions syndrome 1 (MMDS1, MIM #605711) due to NFU1 gene defects is an ultra‐rare autosomal recessive inborn error of metabolism associated with reduced function of NFU1 iron–sulfur cluster (ISC) scaffold protein.
Charles R. DiFalco +6 more
wiley +1 more source
PUS7 Deficiency: Phenotypical Expansion of PUS7‐Related Neurodevelopmental Disorders
ABSTRACT Pathogenic variants in PUS7, encoding pseudouridine synthase 7, cause a rare neurodevelopmental disorder marked by intellectual disability, microcephaly, short stature, and behavioral disturbances. Since the first report in 2018, only 16 patients have been described.
Alice Muda +5 more
wiley +1 more source
Spectrogram Contrast Enhancement Improves EEG Signal-Based Emotional Classification
Neuroscience adopts a multidimensional approach to decode thoughts and actions originating inside the brain, also called Brain Computer Interface (BCI).
Fahad Layth Malallah, Kamran Iqbal
doaj +1 more source
ABSTRACT DNM1 encephalopathy is a rare autosomal dominant genetic condition characterized by a range of neurological and developmental manifestations. The typical phenotype is severe, including profound intellectual disability, treatment‐resistant epilepsy, ataxia, and structural brain abnormalities. However, milder presentations have increasingly been
Caroline Crain +6 more
wiley +1 more source
EEG EXTRACTION FOR MEDITATION [PDF]
EEG is a convenient method to study the functional state of the brain and brainbody-mind connection. This study investigates the EEG signal during meditation; a mental activity described as being in a state of calmness and focused attention.
JEN L. TEE, WAI Y. LEONG
doaj
Efficient Multiple Channels EEG Signal Classification Based on Hierarchical Extreme Learning Machine. [PDF]
Lyu S, Cheung RCC.
europepmc +1 more source

