A5007078334- EEG and Brain-Computer Interfaces
- Neuroscience and Neural Engineering
- Neural dynamics and brain function
- Gaze Tracking and Assistive Technology
- Functional Brain Connectivity Studies
- Advanced Memory and Neural Computing
- Muscle activation and electromyography studies
- Neural and Behavioral Psychology Studies
- Traumatic Brain Injury Research
- Stroke Rehabilitation and Recovery
- Epilepsy research and treatment
- Virtual Reality Applications and Impacts
- Cognitive Functions and Memory
- Neurological disorders and treatments
- Heart Rate Variability and Autonomic Control
- Cognitive Computing and Networks
- Memory and Neural Mechanisms
- Computability, Logic, AI Algorithms
- Systems Engineering Methodologies and Applications
- Blind Source Separation Techniques
- Neuroscience and Neuropharmacology Research
- Human-Automation Interaction and Safety
- Healthcare Technology and Patient Monitoring
- Biomedical and Engineering Education
- Neuroscience of respiration and sleep
Guger Technologies (Austria)
2016-2025
Environmental Energy & Engineering
2024
National Renewable Energy Laboratory
2024
University of Colorado Boulder
2024
The University of Adelaide
2024
Imperial College London
2024
Leibniz-Institute for New Materials
2024
Anotec Engineering (Spain)
2018-2023
AdventHealth Orlando
2021
Kepler Universitätsklinikum
2021
Background Stanley Milgram's 1960s experimental findings that people would administer apparently lethal electric shocks to a stranger at the behest of an authority figure remain critical for understanding obedience. Yet, due ethical controversy his experiments ignited, it is nowadays impossible carry out direct studies in this area. In study reported paper, we have used similar paradigm one by Milgram within immersive virtual environment. Our objective has not been obedience itself, but...
A brain-computer interface (BCI) enables communication without movement based on brain signals measured with electroencephalography (EEG). BCIs usually rely one of three types signals: the P300 and other components event-related potential (ERP), steady state visual evoked (SSVEP), or event related desynchronization (ERD). Although were introduced over twenty years ago, past few have seen a strong increase in BCI research. This closed-loop approach relies ERP, an oddball paradigm presented to...
The brain-computer interface (BCI) field has grown dramatically over the past few years, but there are still no coordinated efforts to ensure efficient communication and collaboration among key stakeholders. European Commission (EC) recently renewed their establish such a coordination effort by funding support action for BCI community called ‘BNCI Horizon 2020’ after ‘Future BNCI’ project. Major goals of this new project include developing roadmap next decade beyond, encouraging discussion...
Electroencephalogram (EEG) recordings during right and left motor imagery allow one to establish a new communication channel for, e.g., patients with amyotrophic lateral sclerosis. Such an EEG-based brain-computer interface (BCI) can be used develop simple binary response for the control of device. Three subjects participated in series on-line sessions test if it is possible use common spatial patterns analyze EEG real time order give feedback subjects. Furthermore, classification accuracy...
The electroencephalogram (EEG) is modified by motor imagery and can be used patients with severe impairments (e.g., late stage of amyotrophic lateral sclerosis) to communicate their environment. Such a direct connection between the brain computer known as an EEG-based brain-computer interface (BCI). This paper describes new type BCI system that uses rapid prototyping enable fast transition various types parameter estimation classification algorithms real-time implementation testing. Rapid...
Most brain-computer interfaces (BCI) rely on one of three types signals in the electroencephalogram (EEG): P300s, steady-state visually evoked potentials (SSVEP), and event-related desynchronization (ERD). EEG is typically recorded non-invasively with electrodes mounted human scalp using conductive electrode gel for optimal impedance data quality. The use entails serious problems that are especially pronounced real-world settings when experts not available. Some recent work has introduced...
Brain-computer interfaces (BCI) are communication systems that allow people to send messages or commands without movement. BCIs rely on different types of signals in the electroencephalogram (EEG), typically P300s, steady-state visually evoked potentials (SSVEP), event-related desynchronization. Early BCI were often evaluated with a selected group subjects. Also, many articles do not mention data from subjects who performed poorly. These and other factors have made it difficult estimate how...
Neuroscientists have long debated whether some regions of the human brain are exclusively engaged in a single specific mental process. Consistent with this view, fMRI has revealed cortical that respond selectively to certain stimulus classes such as faces. However, results from multivoxel pattern analyses (MVPA) challenge view by demonstrating category-selective often contain information about "nonpreferred" dimensions. But is nonpreferred causally relevant behavior? Here we report rare...
Numerous recent publications have explored Brain Computer Interfaces (BCI) systems as rehabilitation tools to help subacute and chronic stroke patients recover upper extremity movement. Recent work has shown that BCI therapy can lead better outcomes than conventional therapy. combined with other techniques such Functional Electrical Stimulation (FES) Virtual Reality (VR) allows the user restore neurological function by inducing neural plasticity through improved real-time detection of motor...
Many patients with locked-in syndrome (LIS) or complete (CLIS) also need brain-computer interface (BCI) platforms that do not rely on visual stimuli and are easy to use. We investigate command following communication functions of mindBEAGLE 9 LIS, 3 CLIS three healthy controls. This tests were done vibro-tactile stimulation 2 stimulators (VT2 VT3 mode) motor imagery (MI) paradigms. In VT2 the fixed left right wrist participant has task count target hand in order elicit a P300 response. mode...
Locked-in Amyotrophic Lateral Sclerosis (ALS) patients are fully dependent on caregivers for any daily need. At this stage, basic communication and environmental control may not be possible even with commonly used augmentative alternative devices. Brain Computer Interface (BCI) technology allows users to modulate brain activity of machines devices, without requiring a motor control. In the last several years, numerous articles have described how persons ALS could effectively use BCIs...
An experiment was conducted in a Cave-like environment to explore the relationship between physiological responses and breaks presence utterances by virtual characters towards participants. Twenty people explored (VE) that depicted bar scenario. The divided into training an experimental phase. During phase (BIPs) form of whiteouts VE scenario were induced for 2 s at four equally spaced times during approximately 5 min Additionally, five addressed remarks subjects. Physiological measures...
Brain–computer interface (BCI) has been used for many years communication in severely disabled patients. BCI based on electrophysiological signals enabled communication, using auditory or visual stimuli to elicit event-related potentials (ERPs). The aim of this study was determine whether patients with locked-in syndrome (LIS) could a P300 wave, vibrotactile oddball paradigm establishing somatosensory BCI-based communication. Six chronic LIS performed 2 electroencephalography (EEG)-based...
Motor imagery (MI) based brain-computer interfaces (BCI) extract commands in real-time and can be used to control a cursor, robot or functional electrical stimulation (FES) devices. The of FES devices is especially interesting for stroke rehabilitation, when patient use motor stimulate specific muscles real-time. However, damage areas resulting from other causes might impair BCI rehabilitation. current work presents comparative evaluation the MI-based accuracy between patients healthy...
OBJECTIVE Electrocortical stimulation (ECS) is the gold standard for functional brain mapping; however, precise mapping still difficult in patients with language deficits. High gamma activity (HGA) between 80 and 140 Hz on electrocorticography assumed to reflect localized cortical processing, whereas cortico-cortical evoked potential (CCEP) can bidirectional responses by monophasic pulse stimuli cortices when there no patient cooperation. The authors propose use of "passive" combining HGA...
Recent studies explored promising new quantitative methods to analyze electroencephalography (EEG) signals. This paper analyzes the correlation of two EEG parameters, Brain Symmetry Index (BSI) and Laterality Coefficient (LC), with established functional scales for stroke assessment.Thirty-two healthy subjects thirty-six patients upper extremity hemiparesis were recruited this study. The where subdivided in three groups according location: Cortical, Subcortical, Cortical + Subcortical....