Results 61 to 70 of about 305,708 (349)
A Deep Neural Network for SSVEP-Based Brain-Computer Interfaces [PDF]
IEEE Transactions on Biomedical Engineering, 2020 Objective: Target identification in brain-computer interface (BCI) spellers refers to the electroencephalogram (EEG) classification for predicting the target character that the subject intends to spell.
O. B. Guney +2 more
semanticscholar +1 more source
Multi-Armed Bandits in Brain-Computer Interfaces
Frontiers in Human Neuroscience, 2022 The multi-armed bandit (MAB) problem models a decision-maker that optimizes its actions based on current and acquired new knowledge to maximize its reward.
Frida Heskebeck +2 more
doaj +1 more source
Transfer Learning for Brain–Computer Interfaces: A Euclidean Space Data Alignment Approach [PDF]
IEEE Transactions on Biomedical Engineering, 2018 Objective: This paper targets a major challenge in developing practical electroencephalogram (EEG)-based brain–computer interfaces (BCIs): how to cope with individual differences so that better learning performance can be obtained for a new subject, with
He He, Dongrui Wu
semanticscholar +1 more source
Brain computer interface based robotic rehabilitation with online modification of task speed [PDF]
, 2013 We present a systematic approach that enables online modification/adaptation of robot assisted rehabilitation exercises by continuously monitoring intention levels of patients utilizing an electroencephalogram (EEG) based Brain-Computer Interface (BCI ...
Saraç, Mine +9 more
core +1 more source
Adaptive personalisation for researcher-independent brain body interface usage [PDF]
, 2009 In this case study, we report what we believe to be the first prolonged in-situ use of a brain-body interface for rehabilitation of individuals with severe neurological impairment due to traumatic brain injury with no development researchers present.
Gnanayutham, Paul +4 more
core +1 more source
Detecting mental states by machine learning techniques: The Berlin Brain-computer interface
, 2022 S.113-135The Berlin Brain-Computer Interface (BBCI) uses a machine learning approach to extract user-specific patterns from high-dimensional EEG-features optimized for revealing the user's mental state. Classical BCI applications are brain actuated tools
Blankertz, B. +9 more
core +1 more source
Brain Computer Interface on Track to Home [PDF]
The Scientific World Journal, 2015 The novel BackHome system offers individuals with disabilities a range of useful services available via brain‐computer interfaces (BCIs), to help restore their independence. This is the time such technology is ready to be deployed in the real world, that is, at the target end users’ home.
Felip Miralles +15 more
openaire +4 more sources
Gut microbiome and aging—A dynamic interplay of microbes, metabolites, and the immune system
FEBS Letters, EarlyView.Age‐dependent shifts in microbial communities engender shifts in microbial metabolite profiles. These in turn drive shifts in barrier surface permeability of the gut and brain and induce immune activation. When paired with preexisting age‐related chronic inflammation this increases the risk of neuroinflammation and neurodegenerative diseases.
Aaron Mehl, Eran Blacher
wiley +1 more source
Non-Invasive Brain-Computer Interfaces: State of the Art and Trends
IEEE Reviews in Biomedical EngineeringBrain-computer interface (BCI) is a rapidly evolving technology that has the potential to widely influence research, clinical and recreational use. Non-invasive BCI approaches are particularly common as they can impact a large number of participants ...
B. Edelman +6 more
semanticscholar +1 more source
EEG-Based Brain-Computer Interfaces Using Motor-Imagery: Techniques and Challenges
Italian National Conference on Sensors, 2019 Electroencephalography (EEG)-based brain-computer interfaces (BCIs), particularly those using motor-imagery (MI) data, have the potential to become groundbreaking technologies in both clinical and entertainment settings.
Natasha M. J. Padfield +4 more
semanticscholar +1 more source