Expert Consensus on Transcranial Focused Ultrasound in Pain Management
康复学报Transcranial focused ultrasound (tFUS) is an emerging non-invasive neuromodulation technique, and employs highly focused acoustic waves for precise, reversible, and non-invasive modulation of specific brain regions.
Brain Computer Interface and Rehabilitation Committee of Chinese Rehabilitation Medical Association
doaj
Human-In-The-Loop Control and Task Learning for Pneumatically Actuated Muscle Based Robots
Frontiers in Neurorobotics, 2018 Pneumatically actuated muscles (PAMs) provide a low cost, lightweight, and high power-to-weight ratio solution for many robotic applications. In addition, the antagonist pair configuration for robotic arms make it open to biologically inspired control ...
Tatsuya Teramae +5 more
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A wearable brain-computer interface controlled robot [PDF]
, 2016 Brain-computer interface (BCI) controlled systems hold great potential for clinical applications especially in assisting neurologically disabled patients to improve their communication processes [1].
Azhar, H., Badicioiu, A., Barton, T.
core
Effects of daily listening to 6 Hz binaural beats over one month: an event-related potentials study
Scientific ReportsThe aim of the present study was to identify cognitive alterations, as indicated by event-related potentials (ERPs), after one month of daily exposure to theta binaural beats (BBs) for 10 minutes.
Mondnath Chockboondee +3 more
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Frontiers in Human Neuroscience, 2018 Several non-invasive imaging methods have contributed to shed light on the brain mechanisms underlying working memory (WM). The aim of the present study was to depict the topology of the relevant EEG-derived brain networks associated to distinct ...
Jlenia Toppi +11 more
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Interaction Paradigms for Brain-Body Interfaces for Computer Users with Brain Injuries [PDF]
In comparison to all types of injury, those to the brain are among the most likely to result in death or permanent disability. Some of these brain-injured people cannot communicate, recreate, or control their environment due to severe motor impairment.
Gnanayutham, Paul Wesley
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Detecting brain network changes induced by a neurofeedback-based training for memory function rehabilitation after stroke [PDF]
, 2014 The efficacy of rehabilitative interventions in stroke patients is routinely assessed by means of a neuropsychological test battery. Nowadays, more evidences indicate that the neuroplasticity which occurs after stroke can be better understood by ...
CINCOTTI, FEBO +7 more
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Use of brain computer interface to drive : preliminary results [PDF]
, 2012 This paper reports on the implementation of a non-invasive electroencephalography-based brain-computer interface to control functions of a car in a driving simulator.
Andry Rakotonirainy +8 more
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Detection of intention level in response to task difficulty from EEG signals [PDF]
, 2013 We present an approach that enables detecting intention levels of subjects in response to task difficulty utilizing an electroencephalogram (EEG) based brain-computer interface (BCI).
Elif Hocaoglu +7 more
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Multi-Source Domain Adaptive EEG Emotion Recognition Based on Dendrite Net
ComputersAccurate emotion recognition is crucial for enhancing human–computer interaction, and brain–computer interface (BCI) technology offers an efficient means for emotion detection using the EEG signal.
Shuang Liu +4 more
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