AIMC Topic: Electroencephalography
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As above, so below? Towards understanding inverse models in BCI.
Journal of neural engineering
Feb 1, 2018
OBJECTIVE: In brain-computer interfaces (BCI), measurements of the user's brain activity are classified into commands for the computer. With EEG-based BCIs, the origins of the classified phenomena are often considered to be spatially localized in the...
Inferring imagined speech using EEG signals: a new approach using Riemannian manifold features.
Journal of neural engineering
Feb 1, 2018
OBJECTIVE: In this paper, we investigate the suitability of imagined speech for brain-computer interface (BCI) applications.
Research: Use of Dry Electroencephalogram and Support Vector for Objective Pain Assessment.
Biomedical instrumentation & technology
Jan 1, 2018
The reliability of normal gel-based electrode electroencephalogram (EEG) for measuring pain has been validated. To date, however, few documented trials have used dry EEG for pain quantification. The primary goal of this study was to objectively quant...
Human emotion classification based on multiple physiological signals by wearable system.
Technology and health care : official journal of the European Society for Engineering and Medicine
Jan 1, 2018
BACKGROUND: Human emotion classification is traditionally achieved using multi-channel electroencephalogram (EEG) signal, which requires costly equipment and complex classification algorithms.
Classification of single-channel EEG signals for epileptic seizures detection based on hybrid features.
Technology and health care : official journal of the European Society for Engineering and Medicine
Jan 1, 2018
BACKGROUND: Epilepsy is a common chronic neurological disorder of the brain. Clinically, epileptic seizures are usually detected via the continuous monitoring of electroencephalogram (EEG) signals by experienced neurophysiologists.
Training set extension for SVM ensemble in P300-speller with familiar face paradigm.
Technology and health care : official journal of the European Society for Engineering and Medicine
Jan 1, 2018
BACKGROUND: P300-spellers are brain-computer interface (BCI)-based character input systems. Support vector machine (SVM) ensembles are trained with large-scale training sets and used as classifiers in these systems. However, the required large-scale ...
Combined effects of cerebellar transcranial direct current stimulation and transcutaneous spinal direct current stimulation on robot-assisted gait training in patients with chronic brain stroke: A pilot, single blind, randomized controlled trial.
Restorative neurology and neuroscience
Jan 1, 2018
BACKGROUND: Preliminary evidence showed additional effects of anodal transcranial direct current stimulation over the damaged cerebral hemisphere combined with cathodal transcutaneous spinal direct current stimulation during robot-assisted gait train...
Robotics
Stroke Rehabilitation
Humans
Middle Aged
Exercise Therapy
Female
Pilot Projects
Single-Blind Method
Cerebellum
Transcranial Direct Current Stimulation
Aged
Treatment Outcome
Electroencephalography
Spinal Cord
Transcutaneous Electric Nerve Stimulation
Male
Chronic Disease
Stroke
Functional Laterality
Relative wave energy-based adaptive neuro-fuzzy inference system for estimation of the depth of anaesthesia.
Journal of integrative neuroscience
Jan 1, 2018
The advancement in medical research and intelligent modeling techniques has lead to the developments in anaesthesia management. The present study is targeted to estimate the depth of anaesthesia using cognitive signal processing and intelligent model...
Robotic-Assisted and Image-Guided MRI-Compatible Stereoelectroencephalography.
The Canadian journal of neurological sciences. Le journal canadien des sciences neurologiques
Jan 1, 2018
BACKGROUND: Stereoelectroencephalography has been in regular use at the Montreal Neurological Institute since 1972. The technique has been in constant evolution to incorporate advances in materials, imaging, and robotics technology. MRI-compatible el...
Four ethical priorities for neurotechnologies and AI.
Nature
Nov 8, 2017
Artificial intelligence and brain-computer interfaces must respect and preserve people’s privacy, identity, agency and equality, say Rafael Yuste, Sara Goering and colleagues.
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