DocumentCode :
2104817
Title :
Real-time index for predicting successful golf putting motion using multichannel EEG
Author :
Muangjaroen, P. ; Wongsawat, Y.
Author_Institution :
Dept. of Biomed. Eng., Mahidol Univ., Nakornpathom, Thailand
fYear :
2012
fDate :
Aug. 28 2012-Sept. 1 2012
Firstpage :
4796
Lastpage :
4799
Abstract :
A skill in goal-directed sport performance is an ability involving with many factors of both external and internal concernment. External factors are still developed while internal factors are challenged topic to understand for improving the performance. Internal concernment is explained an effective performance as estimation, solving strategy, planning and decision on the brain. These conjunctions are relevant to somatosensory information, focus attention and fine motor control of cortical activity. Five skilled right-handed golfers were recruited to be subjected of studying the criteria on how to predict golf putt success. Each of their putts was calculated in power spectral analysis by comparing to the pre-movement period. Successful and unsuccessful putt were classified by focusing on the frontal-midline(Fz), parietal-midline(Pz), central midline(Cz), left central(C3) and right central(C4) which supported by few consistency studies that they are related to a primary sensory motor area, focus attention and working memory processing. Results were shown that high alpha power on C4, theta power on Fz, theta power and high alpha power on Pz can be calculated to use as index of predicting golf putt success. Real-time monitoring system with friendly GUI was proposed in this study as promising preliminary study. Expected goal in the future is to apply this real-time golf putting prediction system into a biofeedback system to increase the golf putting´s accuracy. However, it still needs more subjects to increase credibility and accuracy of the prediction.
Keywords :
biomechanics; electroencephalography; sport; GUI; alpha power; biofeedback system; central-midline scalp position; cortical activity; decision making; estimation; fine motor control; focus attention; frontal-midline scalp position; goal directed sport performance; golf putting accuracy; internal concernment; left central scalp position; multichannel EEG; parietal-midline scalp position; planning; power spectral analysis; real time index; right central scalp position; solving strategy; somatosensory information; successful golf putting motion prediction; theta power; Electrodes; Electroencephalography; Graphical user interfaces; Indexes; Real-time systems; Scalp; Software; Adult; Algorithms; Athletic Performance; Cerebral Cortex; Computer Systems; Electroencephalography; Golf; Humans; Male; Middle Aged; Motor Skills; Movement;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society (EMBC), 2012 Annual International Conference of the IEEE
Conference_Location :
San Diego, CA
ISSN :
1557-170X
Print_ISBN :
978-1-4244-4119-8
Electronic_ISBN :
1557-170X
Type :
conf
DOI :
10.1109/EMBC.2012.6347039
Filename :
6347039
Link To Document :
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