The effects of mental training on brain computer interface performance with distractions

The overall success of a brain computer interface (BCI) is largely dependent on the features used to make decisions. Noise in the electroencephalography (EEG) increases the difficulty of acquiring meaningful features. Previous literature suggests teaching subjects meditation and relaxation techniques may improve features relevant to BCI operation. The purpose of this study was to investigate performance on several cognitive protocols for both individuals who use meditation techniques and those who do not use these techniques. Both groups were given a motor imagery based BCI protocol, a P300 speller BCI, a verbal learning task, and an N-back test. No significant difference in performance was found between meditation and control groups. Our research does suggest however, significant differences for the P300 and motor imagery protocols may be found if a larger group (>20 subjects per class) is recruited.

Name thesis:degree_name

M.S. Engineering

Level thesis:degree_level

Thesis

Discipline thesis:degree_discipline

Electrical and Computer Engineering

Year dc:date.available

2011

Author dc:creator

• LaRocco, John

Contributors dc:contributor

• Polikar, Robi

• Brain-computer interfaces; Meditation
• Electrical and Computer Engineering

Repository record dc:identifier

https://rdw.rowan.edu/etd/116

OAI identifier oai:identifier

oai:rdw.rowan.edu:etd-1115