DocumentCode :
656490
Title :
Relationship between brainwave signal and human activity of knee joint movement for paraplegic
Author :
Rahman, K.A.A. ; Ibrahim, B.S.K.K. ; Jamil, M.M.A. ; Masdar, A.
Author_Institution :
Dept. of Mechatron. & Robotic Eng., Univ. Tun Hussein Onn Malaysia, Batu Pahat, Malaysia
fYear :
2013
fDate :
23-25 Oct. 2013
Firstpage :
1
Lastpage :
5
Abstract :
Function impairment in chronic gait can be caused by abnormal neurological conditions, such as stroke, spinal cord injury, and traumatic brain injury. Only a limited degree of motor function recovery can be provided by using current physiotherapy techniques. Brain-computer interface (BCI) is a modern novel technology with a potential to substitute or restore lost motor behaviors in patients with neurological injuries. Therefore, this paper will discuss about the relation between brainwave signal and human body part activities. The International 10 - 20 Electrode Placement System has been used in this experiment. This method has been selected due to the number of electrodes used in this experiment which are about 3 electrodes in order to record the brainwave signal of the subjects. The subjects have been asked to perform two specific tasks in 30 seconds. The tasks must be performed while the subjects close their eyes because this will give maximum concentration during the experiment and the data was recorded every 2 seconds. The performance of the two subjects has been assessed. The highest feedback for this experiment came from the alpha type signal compared to others signal. From this experiment, it is shows that the brain wave signals have effect on the thinking activities. Also noticed that the concentration or focus aspect during the experiment is important and must not be ignored.
Keywords :
medical signal processing; neurophysiology; BCI; International 10-20 electrode placement system; abnormal neurological conditions; brain-computer interface; brainwave signal; chronic gait; feedback; human body part activities; knee joint movement; motor behaviors; motor function recovery; paraplegic; patients; physiotherapy techniques; spinal; stroke; traumatic brain injury; Brain-computer interfaces; Electrodes; Electroencephalography; Monitoring; Scalp; Sleep; Software;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Biomedical Engineering International Conference (BMEiCON), 2013 6th
Conference_Location :
Amphur Muang
Print_ISBN :
978-1-4799-1466-1
Type :
conf
DOI :
10.1109/BMEiCon.2013.6687709
Filename :
6687709
Link To Document :
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