AIMC Topic: Electroencephalography

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Automatic seizure detection based on imaged-EEG signals through fully convolutional networks.

Scientific reports Dec 11, 2020
Seizure detection is a routine process in epilepsy units requiring manual intervention of well-trained specialists. This process could be extensive, inefficient and time-consuming, especially for long term recordings. We proposed an automatic method ...
Male Adolescent Child, Preschool Child Electroencephalography Epilepsy Algorithms Databases, Factual Female Humans Neural Networks, Computer
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Deep Learning for Automated Feature Discovery and Classification of Sleep Stages.

IEEE/ACM transactions on computational biology and bioinformatics Dec 8, 2020
Convolutional neural networks (CNN) have demonstrated state-of-the-art classification results in image categorization, but have received comparatively little attention for classification of one-dimensional physiological signals. We design a deep CNN ...
Signal Processing, Computer-Assisted Sleep Stages Humans Deep Learning Computational Biology Electroencephalography
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A Data-Driven Approach to Predict and Classify Epileptic Seizures from Brain-Wide Calcium Imaging Video Data.

IEEE/ACM transactions on computational biology and bioinformatics Dec 8, 2020
The prediction of epileptic seizures has been an essential problem of epilepsy study. The calcium imaging video data images the whole brain-wide neurons activities with electrical discharge recorded by calcium fluorescence intensity (CFI). In this pa...
Machine Learning Animals Support Vector Machine Calcium Pattern Recognition, Automated Neuroimaging Electroencephalography Seizures Zebrafish
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Robot-assisted versus stereotactic frame-based stereoelectroencephalography in medically refractory epilepsy.

Neurophysiologie clinique = Clinical neurophysiology Dec 4, 2020
AIM: To explore the difference between robot assisted (RA) and stereotactic frame based (SF) stereoelectroencephalography (SEEG) in patients with medically refractory epilepsy.
Electroencephalography Drug Resistant Epilepsy Electrodes, Implanted Humans Retrospective Studies Robotics
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ERP markers of action planning and outcome monitoring in human - robot interaction.

Acta psychologica Dec 4, 2020
The present study aimed to examine event-related potentials (ERPs) of action planning and outcome monitoring in human-robot interaction. To this end, participants were instructed to perform costly actions (i.e. losing points) to stop a balloon from i...
Electroencephalography Attention Evoked Potentials Humans Robotics
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Mitigation of ocular artifacts for EEG signal using improved earth worm optimization-based neural network and lifting wavelet transform.

Computer methods in biomechanics and biomedical engineering Nov 27, 2020
An Electroencephalogram (EEG) is often tarnished by various categories of artifacts. Numerous efforts have been taken to improve its quality by eliminating the artifacts. The EEG involves the biological artifacts (ocular artifacts, ECG and EMG artifa...
Humans Neural Networks, Computer Entropy Signal Processing, Computer-Assisted Algorithms Eye Electroencephalography Lifting Artifacts Wavelet Analysis
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EEG-based trial-by-trial texture classification during active touch.

Scientific reports Nov 27, 2020
Trial-by-trial texture classification analysis and identifying salient texture related EEG features during active touch that are minimally influenced by movement type and frequency conditions are the main contributions of this work. A total of twelve...
Form Perception Male Humans Fingers Movement Support Vector Machine Algorithms Touch Perception Signal Processing, Computer-Assisted Electroencephalography Brain Female Healthy Volunteers Adult Surface Properties
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EEG based functional connectivity analysis of human pain empathy towards humans and robots.

Neuropsychologia Nov 25, 2020
Humans can show emotional reactions toward humanoid robots, such as empathy. Previous neuroimaging studies have indicated that neural responses of empathy for others' pain are modulated by an early automatic emotional sharing and a late controlled co...
Pain Evoked Potentials Empathy Humans Adult Robotics Electroencephalography
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Reducing Response Time in Motor Imagery Using A Headband and Deep Learning.

Sensors (Basel, Switzerland) Nov 25, 2020
Electroencephalography (EEG) signals to detect motor imagery have been used to help patients with low mobility. However, the regular brain computer interfaces (BCI) capturing the EEG signals usually require intrusive devices and cables linked to mach...
Reaction Time Deep Learning Brain-Computer Interfaces Humans Wearable Electronic Devices Algorithms Electroencephalography
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Brain-Computer Interface-Based Soft Robotic Glove Rehabilitation for Stroke.

IEEE transactions on bio-medical engineering Nov 19, 2020
OBJECTIVE: This randomized controlled feasibility study investigates the ability for clinical application of the Brain-Computer Interface-based Soft Robotic Glove (BCI-SRG) incorporating activities of daily living (ADL)-oriented tasks for stroke reha...
Stroke Rehabilitation Activities of Daily Living Brain-Computer Interfaces Upper Extremity Electroencephalography Stroke Humans Treatment Outcome Robotics
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