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Movement Type Prediction before Its Onset Using Signals from Prefrontal Area : An Electrocorticography Study
Joint Authors
Kim, June Sic
Ryun, Seokyun
Jeong, Sehyoon
Chung, Chun Kee
Lee, Sang Hun
Kim, Sung Phil
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-07-14
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
Power changes in specific frequency bands are typical brain responses during motor planning or preparation.
Many studies have demonstrated that, in addition to the premotor, supplementary motor, and primary sensorimotor areas, the prefrontal area contributes to generating such responses.
However, most brain-computer interface (BCI) studies have focused on the primary sensorimotor area and have estimated movements using postonset period brain signals.
Our aim was to determine whether the prefrontal area could contribute to the prediction of voluntary movement types before movement onset.
In our study, electrocorticography (ECoG) was recorded from six epilepsy patients while performing two self-paced tasks: hand grasping and elbow flexion.
The prefrontal area was sufficient to allow classification of different movements through the area’s premovement signals (−2.0 s to 0 s) in four subjects.
The most pronounced power difference frequency band was the beta band (13–30 Hz).
The movement prediction rate during single trial estimation averaged 74% across the six subjects.
Our results suggest that premovement signals in the prefrontal area are useful in distinguishing different movement tasks and that the beta band is the most informative for prediction of movement type before movement onset.
American Psychological Association (APA)
Ryun, Seokyun& Kim, June Sic& Lee, Sang Hun& Jeong, Sehyoon& Kim, Sung Phil& Chung, Chun Kee. 2014. Movement Type Prediction before Its Onset Using Signals from Prefrontal Area : An Electrocorticography Study. BioMed Research International،Vol. 2014, no. 2014, pp.1-9.
https://search.emarefa.net/detail/BIM-497703
Modern Language Association (MLA)
Ryun, Seokyun…[et al.]. Movement Type Prediction before Its Onset Using Signals from Prefrontal Area : An Electrocorticography Study. BioMed Research International No. 2014 (2014), pp.1-9.
https://search.emarefa.net/detail/BIM-497703
American Medical Association (AMA)
Ryun, Seokyun& Kim, June Sic& Lee, Sang Hun& Jeong, Sehyoon& Kim, Sung Phil& Chung, Chun Kee. Movement Type Prediction before Its Onset Using Signals from Prefrontal Area : An Electrocorticography Study. BioMed Research International. 2014. Vol. 2014, no. 2014, pp.1-9.
https://search.emarefa.net/detail/BIM-497703
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-497703