Optimized motor imagery paradigm based on imagining Chinese characters writing movement
September 30, 2016 Β· Declared Dead Β· π IEEE transactions on neural systems and rehabilitation engineering
"No code URL or promise found in abstract"
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Authors
Zhaoyang Qiu, Brendan Z. Allison, Jing Jin, Yu Zhang, Xingyu Wang, Wei Li, Andrzej Cichocki
arXiv ID
1609.09578
Category
cs.HC: Human-Computer Interaction
Cross-listed
q-bio.NC
Citations
69
Venue
IEEE transactions on neural systems and rehabilitation engineering
Last Checked
3 months ago
Abstract
Motor imagery (MI) is a mental representation of motor behavior that has been widely used as a control method for a brain-computer interface (BCI), allowing communication for the physically impaired. The performance of MI based BCI mainly depends on the subject's ability to self-modulate EEG signals. Proper training can help naive subjects learn to modulate brain activity proficiently. However, training subjects typically involves abstract motor tasks and is time-consuming. To improve the performance of naive subjects during motor imagery, a novel paradigm was presented that would guide naive subjects to modulate brain activity effectively. In this new paradigm, pictures of the left or right hand were used as cues for subjects to finish the motor imagery task. Fourteen healthy subjects (11 male, aged 22-25 years, mean 23.6+/-1.16) participated in this study. The task was to imagine writing a Chinese character. Specifically, subjects could imagine hand movements following the sequence of writing strokes in the Chinese character. This paradigm was meant to find an effective and familiar action for most Chinese people, to provide them with a specific, extensively practiced task and help them modulate brain activity. Results showed that the writing task paradigm yielded significantly better performance than the traditional arrow paradigm (p<0.001). Questionnaire replies indicated that most subjects thought the new paradigm was easier and more comfortable. The proposed new motor imagery paradigm could guide subjects to help them modulate brain activity effectively. Results showed that there were significant improvements using new paradigm, both in classification accuracy and usability.
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