SOTAVerified

Electroencephalogram (EEG)

Electroencephalogram (EEG) is a method of recording brain activity using electrophysiological indexes. When the brain is active, a large number of postsynaptic potentials generated synchronously by neurons are formed after summation. It records the changes of electric waves during brain activity and is the overall reflection of the electrophysiological activities of brain nerve cells on the surface of cerebral cortex or scalp. Brain waves originate from the postsynaptic potential of the apical dendrites of pyramidal cells. The formation of synchronous rhythm of EEG is also related to the activity of nonspecific projection system of cortex and thalamus. EEG is the basic theoretical research of brain science. EEG monitoring is widely used in its clinical application.

Papers

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Showing 976–1000 of 1655 papers

TitleStatusHype
Understanding Brain Connectivity Patterns during Motor Imagery for Brain-Computer Interfacing—0
Understanding Brain Dynamics for Color Perception using Wearable EEG headband—0
Understanding Consumer Preferences for Movie Trailers from EEG using Machine Learning—0
Understanding EEG signals for subject-wise Definition of Armoni Activities—0
Understanding effect of speech perception in EEG based speech recognition systems—0
Understanding language-elicited EEG data by predicting it from a fine-tuned language model—0
Unidirectional brain to muscle connectivity reveals motor cortex control of leg muscles during stereotyped walking—0
Universal EEG Encoder for Learning Diverse Intelligent Tasks—0
Universal Joint Feature Extraction for P300 EEG Classification using Multi-task Autoencoder—0
Unravelling the neural signatures of dream recall in EEG: a deep learning approach—0
Unsupervised Domain Adaptation for Cross-Subject Few-Shot Neurological Symptom Detection—0
Unsupervised Learning in Reservoir Computing for EEG-based Emotion Recognition—0
Unsupervised Motor Imagery Saliency Detection Based on Self-Attention Mechanism—0
Update on the multimodal pathophysiological dataset of gradual cerebral ischemia in a cohort of juvenile pigs: auditory, sensory and high-frequency sensory evoked potentials—0
User-wise Perturbations for User Identity Protection in EEG-Based BCIs—0
Using Convolutional Neural Networks to Recognize Rhythm Stimuli from Electroencephalography Recordings—0
Using Deep Learning and Machine Learning to Detect Epileptic Seizure with Electroencephalography (EEG) Data—0
Using Double Contractions to Derive the Structure of Slice-Wise Multiplications of Tensors with Applications to Semi-Blind MIMO OFDM—0
Using EEG Signals to Assess Workload during Memory Retrieval in a Real-world Scenario—0
Using growth transform dynamical systems for spatio-temporal data sonification—0
Using Single-Trial Representational Similarity Analysis with EEG to track semantic similarity in emotional word processing—0
U-Sleep's resilience to AASM guidelines—0
Utilizing Deep Learning Towards Multi-modal Bio-sensing and Vision-based Affective Computing—0
Validating an SVM-based neonatal seizure detection algorithm for generalizability, non-inferiority and clinical efficacy—0
Validating non-invasive EEG source imaging using optimal electrode configurations on a representative rat head model—0
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All datasetsSEED-IVHS-SSVEPSEED

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1BiHDMAccuracy74.35—Unverified
2DGCNNAccuracy69.88—Unverified
3DBNAccuracy66.77—Unverified
#ModelMetricClaimedVerifiedStatus
1MultitaskSSVEPAccuracy (5-fold)92.2—Unverified
#ModelMetricClaimedVerifiedStatus
1DBNAccuracy86.08—Unverified