NFBLab—A Versatile Software for Neurofeedback and Brain-Computer Interface Research
نویسندگان
چکیده
منابع مشابه
Bilateral adaptation and neurofeedback for brain computer interface system.
Brain computer interface (BCI) provides an alternative communication pathway between human brain and external devices without the participation of peripheral nerves and muscles. Although the BCI techniques have been developing quickly in recent decades, there still exist a number of unsolved problems, such as instability, unreliability and low transmission rate in real time applications of BCI....
متن کاملNeurofeedback-based motor imagery training for brain-computer interface (BCI).
In the present study, we propose a neurofeedback-based motor imagery training system for EEG-based brain-computer interface (BCI). The proposed system can help individuals get the feel of motor imagery by presenting them with real-time brain activation maps on their cortex. Ten healthy participants took part in our experiment, half of whom were trained by the suggested training system and the o...
متن کاملEthics in published brain-computer interface research.
OBJECTIVE Sophisticated signal processing has opened the doors to more research with human subjects than ever before. The increase in the use of human subjects in research comes with a need for increased human subjects protections. APPROACH We quantified the presence or absence of ethics language in published reports of brain-computer interface (BCI) studies that involved human subjects and q...
متن کاملNew horizons in brain-computer interface research
The last decade has shown a large increase in the number of P300-based BCI publications. The majority of these studies have used non-disabled subjects; far fewer studies have been conducted with people suffering from amyotrophic lateral sclerosis (ALS) or other neuromuscular disorders. Although the field has matured significantly, most research has focused on improving classification through si...
متن کاملNew horizons in brain-computer interface research.
The last decade has shown a large increase in the number of P300-based BCI publications. The majority of these studies have used non-disabled subjects; far fewer studies have been conducted with people suffering from amyotrophic lateral sclerosis (ALS) or other neuromuscular disorders. Although the field has matured significantly, most research has focused on improving classification through si...
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ژورنال
عنوان ژورنال: Frontiers in Neuroinformatics
سال: 2018
ISSN: 1662-5196
DOI: 10.3389/fninf.2018.00100