Utah Neural Electrode Technology for Brain-Computer Interface
نویسندگان
چکیده
منابع مشابه
A Novel Dry Electrode for Brain-Computer Interface
A brain-computer interface is a device that uses signals recorded from the brain to directly control a computer. In the last few years, P300-based braincomputer interfaces (BCIs) have proven an effective and reliable means of communication for people with severe motor disabilities such as amyotrophic lateral sclerosis (ALS). Despite this fact, relatively few individuals have benefited from curr...
متن کاملClinical applications of brain-computer interface technology.
Brain-computer interface (BCI), or brain-machine interface (BMI), research has shown great promise to provide alternative and augmentative communication options for people with severe neuromuscular disabilities. Despite BCI’s promise, there is a relative paucity of published work supporting translation from basic research to reliable and valid communication options for users. In other words, a ...
متن کاملQuantifying Electrode Reliability During Brain-Computer Interface Operation
One of the problems of noninvasive brain-computer interface (BCI) applications is the occurrence of anomalous (unexpected) signals that might degrade BCI performance. This situation might slip the operator's attention since raw signals are not usually continuously visualized and monitored during BCI-actuated device operation. Anomalous data can for instance be the result of electrode misplaceme...
متن کاملNeural mechanisms of brain-computer interface control
Brain-computer interfaces (BCIs) enable people with paralysis to communicate with their environment. Motor imagery can be used to generate distinct patterns of cortical activation in the electroencephalogram (EEG) and thus control a BCI. To elucidate the cortical correlates of BCI control, users of a sensory motor rhythm (SMR)-BCI were classified according to their BCI control performance. In a...
متن کاملP300 Brain-Computer Interface Performance: A dry electrode study
Most brain-computer interfaces (BCI) are based on one of three types of electroencephalogram (EEG) signals: P300s, steady-state visually evoked potentials (SSVEP), and event-related desynchronization (ERD). EEG is typically recorded non-invasively using active or passive electrodes mounted on the human scalp. The common setup requires conductive electrode gel to get the best entrance impedance ...
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ژورنال
عنوان ژورنال: WuliHuaxue Xuebao
سال: 2020
ISSN: 1000-6818
DOI: 10.3866/pku.whxb202003014