AIMC Topic: Brain-Computer Interfaces

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EEGSym: Overcoming Inter-Subject Variability in Motor Imagery Based BCIs With Deep Learning.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Jul 4, 2022
In this study, we present a new Deep Learning (DL) architecture for Motor Imagery (MI) based Brain Computer Interfaces (BCIs) called EEGSym. Our implementation aims to improve previous state-of-the-art performances on MI classification by overcoming ...
Algorithms Deep Learning Humans Imagination Neural Networks, Computer Electroencephalography Hand Brain-Computer Interfaces
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SSVEP-Based Brain Computer Interface Controlled Soft Robotic Glove for Post-Stroke Hand Function Rehabilitation.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Jul 4, 2022
Soft robotic glove with brain computer interfaces (BCI) control has been used for post-stroke hand function rehabilitation. Motor imagery (MI) based BCI with robotic aided devices has been demonstrated as an effective neural rehabilitation tool to im...
Robotics Stroke Humans Treatment Outcome Upper Extremity Recovery of Function Brain-Computer Interfaces Evoked Potentials Stroke Rehabilitation
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Cross-Platform Implementation of an SSVEP-Based BCI for the Control of a 6-DOF Robotic Arm.

Sensors (Basel, Switzerland) Jul 2, 2022
Robotics has been successfully applied in the design of collaborative robots for assistance to people with motor disabilities. However, man-machine interaction is difficult for those who suffer severe motor disabilities. The aim of this study was to ...
Humans Software Robotics Evoked Potentials, Visual Photic Stimulation Evoked Potentials Electroencephalography Brain-Computer Interfaces
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Noninvasive Human-Computer Interface Methods and Applications for Robotic Control: Past, Current, and Future.

Computational intelligence and neuroscience Jun 8, 2022
The purpose of this study is to explore the noninvasive human-computer interaction methods that have been widely used in various fields, especially in the field of robot control. To have a deep understanding of the development of the methods, this pa...
Brain-Computer Interfaces Robotics Robotic Surgical Procedures Algorithms User-Computer Interface Humans
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Decoding neural activity preceding balance loss during standing with a lower-limb exoskeleton using an interpretable deep learning model.

Journal of neural engineering May 26, 2022
Falls are a leading cause of death in adults 65 and older. Recent efforts to restore lower-limb function in these populations have seen an increase in the use of wearable robotic systems; however, fall prevention measures in these systems require ear...
Exoskeleton Device Adult Deep Learning Electromyography Brain-Computer Interfaces Electroencephalography Humans
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Short report: surgery for implantable brain-computer interface assisted by robotic navigation system.

Acta neurochirurgica May 23, 2022
We present an implantable brain-computer interface surgical case assisted by robotic navigation system in an elderly patient with tetraplegia caused by cervical spinal cord injury. Left primary motor cortex was selected for implantation of microelect...
Quadriplegia Brain-Computer Interfaces Movement Humans Aged Electroencephalography Robotic Surgical Procedures Robotics
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A Bimodal Deep Learning Architecture for EEG-fNIRS Decoding of Overt and Imagined Speech.

IEEE transactions on bio-medical engineering May 19, 2022
OBJECTIVE: Brain-computer interfaces (BCI) studies are increasingly leveraging different attributes of multiple signal modalities simultaneously. Bimodal data acquisition protocols combining the temporal resolution of electroencephalography (EEG) wit...
Humans Brain-Computer Interfaces Neural Networks, Computer Speech Deep Learning Electroencephalography
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An MVMD-CCA Recognition Algorithm in SSVEP-Based BCI and Its Application in Robot Control.

IEEE transactions on neural networks and learning systems May 2, 2022
This article proposes a novel recognition algorithm for the steady-state visual evoked potentials (SSVEP)-based brain-computer interface (BCI) system. By combining the advantages of multivariate variational mode decomposition (MVMD) and canonical cor...
Neural Networks, Computer Algorithms Robotics Humans Evoked Potentials, Visual Photic Stimulation Electroencephalography Brain-Computer Interfaces
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Robust Transcoding Sensory Information With Neural Spikes.

IEEE transactions on neural networks and learning systems May 2, 2022
Neural coding, including encoding and decoding, is one of the key problems in neuroscience for understanding how the brain uses neural signals to relate sensory perception and motor behaviors with neural systems. However, most of the existed studies ...
Neurons Brain-Computer Interfaces Neural Networks, Computer Models, Neurological Brain Action Potentials
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Inference of Brain States Under Anesthesia With Meta Learning Based Deep Learning Models.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society May 2, 2022
Monitoring the depth of unconsciousness during anesthesia is beneficial in both clinical settings and neuroscience investigations to understand brain mechanisms. Electroencephalogram (EEG) has been used as an objective means of characterizing brain a...
Humans Algorithms Brain Neural Networks, Computer Anesthesia Deep Learning Brain-Computer Interfaces Electroencephalography Anesthetics
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