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A novel approach for detection of dyslexia using convolutional neural network with EOG signals
Dyslexia is a learning disability in acquiring reading skills, even though the individual has the appropriate learning opportunity, adequate...
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A novel deep-learning model based on τ-shaped convolutional network (τNet) with long short-term memory (LSTM) for physiological fatigue detection from EEG and EOG signals
In recent years, fatigue driving has become the main cause of traffic accidents, leading to increased attention towards fatigue detection systems....
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SNOAR: a new regression approach for the removal of ocular artifact from multi-channel electroencephalogram signals
Electroencephalogram (EEG) signals are often corrupted by undesirable sources like electrooculogram (EOG) artifacts, which have a substantial impact...
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The role of eye movement signals in non-invasive brain-computer interface ty** system
Brain-Computer Interfaces (BCIs) have shown great potential in providing communication and control for individuals with severe motor disabilities....
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Electrophysiological Activity from the Eye Muscles, Cerebellum and Cerebrum During Reflexive (Classical Pavlovian) Versus Voluntary (Ivanov-Smolensky) Eye-Blink Conditioning
We report an experiment to investigate the role of the cerebellum and cerebrum in motor learning of timed movements. Eleven healthy human subjects...
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Enhancement of dynamic visual acuity using transcranial alternating current stimulation with gamma burst entrained on alpha wave troughs
BackgroundCross-frequency phase-amplitude coupling (PAC) of cortical oscillations is observed within and across cortical regions during higher-order...
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Hybrid brain/neural interface and autonomous vision-guided whole-arm exoskeleton control to perform activities of daily living (ADLs)
BackgroundThe aging of the population and the progressive increase of life expectancy in developed countries is leading to a high incidence of...
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A Wireless Fully-Passive Acquisition of Biopotentials
Biopotential signals contain essential information for assessing the functionality of organs and diagnosing diseases. We present a flexible sensor,...
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EEG-EOG based Virtual Keyboard: Toward Hybrid Brain Computer Interface
The past twenty years have ignited a new spark in the research of Electroencephalogram (EEG), which was pursued to develop innovative Brain Computer...
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The Berlin Bimanual Test for Tetraplegia (BeBiTT): development, psychometric properties, and sensitivity to change in assistive hand exoskeleton application
BackgroundAssistive hand exoskeletons are promising tools to restore hand function after cervical spinal cord injury (SCI) but assessing their...
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Neurophysiological evidence of how quiet eye supports motor performance
Prolonged quiet eye (QE) duration is associated with greater performance in various types of targeting and interceptive tasks. However, the mechanism...
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Home-Use and Real-Time Sleep-Staging System Based on Eye Masks and Mobile Devices with a Deep Learning Model
PurposeSleep is an important human activity. Comfortable sensing and accurate analysis in sleep monitoring is beneficial to many healthcare and...
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High-quality biopotential acquisition without a reference electrode: power-line interference reduction by adaptive impedance balancing in a mixed analog–digital design
Power-line-interference (PLI) is one of the major disturbing factors in almost all ground-free biopotential acquisition applications. The body is a...
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Acid-Sensing Ion Channels Contribute to Type III Adenylyl Cyclase–Independent Acid Sensing of Mouse Olfactory Sensory Neurons
Acids can disturb the ecosystem of wild animals through altering their olfaction and olfaction-related survival behaviors. It is known that the main...
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PSPN: Pseudo-Siamese Pyramid Network for multimodal emotion analysis
Emotion recognition plays an important role in human life and healthcare. The EEG has been extensively researched as an objective indicator of...
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Enhancing GABAergic signaling ameliorates aberrant gamma oscillations of olfactory bulb in AD mouse models
BackgroundBefore the deposition of amyloid-beta plaques and the onset of learning memory deficits, patients with Alzheimer’s disease (AD) experience...
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Time-frequency analysis and fuzzy-based detection of heat-stressed sleep EEG spectra
Nowadays, sleep disorders are contemplated as the major issue in the human lives. The current work aims at extraction of time-frequency information...
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An RNA-seq study in Friedreich ataxia patients identified hsa-miR-148a-3p as a putative prognostic biomarker of the disease
Friedreich ataxia (FRDA) is a life-threatening hereditary ataxia; its incidence is 1:50,000 individuals in the Caucasian population. A unique...
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Evaluating sleep-stage classification: how age and early-late sleep affects classification performance
AbstractSleep stage classification is a common method used by experts to monitor the quantity and quality of sleep in humans, but it is a...
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