DocumentCode
1949853
Title
Analysis of human´s brainwave pattern among active and inactive person
Author
Kassim, Rosni Abu ; Ibrahim, Ahmad Shahran ; Buniyamin, Norlida ; Murat, Zunairah Hj
Author_Institution
Fac. of Electr. Eng., Univ. Teknol. Mara, Shah Alam, Malaysia
fYear
2012
fDate
11-12 Sept. 2012
Firstpage
1
Lastpage
5
Abstract
The paper presents a research that investigates human´s brainwave pattern among two groups of people, active and inactive. Subsequently, an experiment was conducted to explore the effectiveness of motion treatment therapy (MTT) to balance human brainwaves. A questionnaire was used to categorize 40 male Electrical Engineering students into active and inactive groups. The questionnaire data was then analyzed to identify the capability of each group to retain memory, to focus and ability to overcome depression episodes. The goal is to prove that active person is much happier and calm. This data is then validated using analysis of the brainwave pattern of all samples. An EEG machine was used to capture the brain waveform. It has been widely accepted that a person with a synchronized brainwave pattern i.e., a balanced brain is usually a happy and calm person. To investigate the ability of the MTT to improve brainwave pattern synchronization, both groups of samples then underwent 4 motion treatments and their brainwave signals are captured. From the study, it was found that in general, active people produced more synchronized brainwave pattern than inactive people. Comparison of brainwave patterns before and after motion treatment indicates improvement in brain synchronization. Thus it can be assumed that to a certain extent, the motion treatment can be used to help treat inactive people.
Keywords
electroencephalography; medical signal processing; patient treatment; synchronisation; EEG machine; active person; brain waveform capturing; brainwave pattern synchronization; brainwave signals; calm person; depression episodes; electrical engineering students; electroencephalogram; happy person; human brainwave pattern analysis; inactive person; motion treatment therapy; motion treatments; questionnaire; signal processing; Electrical engineering; Electrodes; Electroencephalography; Humans; Medical treatment; Stress; Synchronization; EEG; Motion technology; active person; brain synchronization; human brainwave; inactive person;
fLanguage
English
Publisher
ieee
Conference_Titel
System Engineering and Technology (ICSET), 2012 International Conference on
Conference_Location
Bandung
Print_ISBN
978-1-4673-2375-8
Type
conf
DOI
10.1109/ICSEngT.2012.6339328
Filename
6339328
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