AIMC Topic: Brain-Computer Interfaces

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The clinical effects of brain-computer interface with robot on upper-limb function for post-stroke rehabilitation: a meta-analysis and systematic review.

Disability and rehabilitation. Assistive technology Apr 21, 2022
PURPOSE: Many recent clinical studies have suggested that the combination of brain-computer interfaces (BCIs) can induce neurological recovery and improvement in motor function. In this review, we performed a systematic review and meta-analysis to ev...
Humans Brain-Computer Interfaces Upper Extremity Stroke Rehabilitation Recovery of Function Robotics
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Key Feature Extraction Method of Electroencephalogram Signal by Independent Component Analysis for Athlete Selection and Training.

Computational intelligence and neuroscience Apr 15, 2022
Emotion is an important expression generated by human beings to external stimuli in the process of interaction with the external environment. It affects all aspects of our lives all the time. Accurate identification of human emotional states and furt...
Signal Processing, Computer-Assisted Athletes Brain-Computer Interfaces Algorithms Electroencephalography Humans Artificial Intelligence
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Deep Learning-Based Approach for Emotion Recognition Using Electroencephalography (EEG) Signals Using Bi-Directional Long Short-Term Memory (Bi-LSTM).

Sensors (Basel, Switzerland) Apr 13, 2022
Emotions are an essential part of daily human communication. The emotional states and dynamics of the brain can be linked by electroencephalography (EEG) signals that can be used by the Brain-Computer Interface (BCI), to provide better human-machine ...
Brain-Computer Interfaces Neural Networks, Computer Emotions Electroencephalography Deep Learning
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Decoding ECoG signal into 3D hand translation using deep learning.

Journal of neural engineering Mar 31, 2022
Motor brain-computer interfaces (BCIs) are a promising technology that may enable motor-impaired people to interact with their environment. BCIs would potentially compensate for arm and hand function loss, which is the top priority for individuals wi...
Deep Learning Electroencephalography Humans Electrocorticography Hand Brain-Computer Interfaces
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PlatypOUs-A Mobile Robot Platform and Demonstration Tool Supporting STEM Education.

Sensors (Basel, Switzerland) Mar 16, 2022
Given the rising popularity of robotics, student-driven robot development projects are playing a key role in attracting more people towards engineering and science studies. This article presents the early development process of an open-source mobile ...
Brain-Computer Interfaces Software Support Vector Machine Robotics Electromyography Humans
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A behavioral paradigm for cortical control of a robotic actuator by freely moving rats in a one-dimensional two-target reaching task.

Journal of neuroscience methods Mar 7, 2022
BACKGROUND: Controlling the trajectory of a neuroprosthesis to reach distant targets is a commonly used brain-machine interface (BMI) task in primates and has not been available for rodents yet.
Animals Rats Movement Motor Cortex Neurons Robotics Brain-Computer Interfaces Robotic Surgical Procedures
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Classification of Electroencephalogram Signal for Developing Brain-Computer Interface Using Bioinspired Machine Learning Approach.

Computational intelligence and neuroscience Feb 25, 2022
Transforming human intentions into patterns to direct the devices connected externally without any body movements is called Brain-Computer Interface (BCI). It is specially designed for rehabilitation patients to overcome their disabilities. Electroen...
Algorithms Humans Neural Networks, Computer Age Factors Young Adult Machine Learning Adult Electroencephalography User-Computer Interface Brain-Computer Interfaces
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Organic electrochemical neurons and synapses with ion mediated spiking.

Nature communications Feb 22, 2022
Future brain-machine interfaces, prosthetics, and intelligent soft robotics will require integrating artificial neuromorphic devices with biological systems. Due to their poor biocompatibility, circuit complexity, low energy efficiency, and operating...
Brain-Computer Interfaces Robotics Synapses Neurons Silicon Neuronal Plasticity
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Deep-learning online EEG decoding brain-computer interface using error-related potentials recorded with a consumer-grade headset.

Biomedical physics & engineering express Jan 28, 2022
Brain-computer interfaces (BCIs) allow subjects with sensorimotor disability to interact with the environment. Non-invasive BCIs relying on EEG signals such as event-related potentials (ERPs) have been established as a reliable compromise between spa...
Electroencephalography Brain-Computer Interfaces Humans Algorithms Artificial Intelligence Deep Learning
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Enhanced Recognition of Amputated Wrist and Hand Movements by Deep Learning Method Using Multimodal Fusion of Electromyography and Electroencephalography.

Sensors (Basel, Switzerland) Jan 16, 2022
Motion classification can be performed using biometric signals recorded by electroencephalography (EEG) or electromyography (EMG) with noninvasive surface electrodes for the control of prosthetic arms. However, current single-modal EEG and EMG based ...
Wrist Electromyography Amputees Brain-Computer Interfaces Deep Learning Electroencephalography Humans Algorithms
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