Brain signal analysis to investigate sound effect on memorization
Electroencephalography is an imaging of the electrical signal of the brain. It is widely use among the researcher compared to other techniques since it is affordable, non-invasive, able to record the signal in short time and painless to the subject. The brain signal can be divided into five specific...
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American Scientific Publishers
2017
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| author | Sayed Daud, S. N. S. Sudirman, R. |
| author_facet | Sayed Daud, S. N. S. Sudirman, R. |
| author_sort | Sayed Daud, S. N. S. |
| collection | ePrints |
| description | Electroencephalography is an imaging of the electrical signal of the brain. It is widely use among the researcher compared to other techniques since it is affordable, non-invasive, able to record the signal in short time and painless to the subject. The brain signal can be divided into five specific frequency that known as alpha, beta, theta, delta and gamma band. These frequency bands will determine the characteristics of the brain signal. In this present study, the effect of sound stimuli in memorizing process is analyzed based on the relative power of the brain rhythm. Besides that, in this proposed study it is also aim to determine the effective sound stimuli for improving memorization. About 60 adults participated in this study. They are required to memorize the visual memory task at three different conditions, which are silence condition, listening to Mozart music, and listening to white noise, each for 2 minutes. The brain signal was recorded using Neurofax 9200 of EEG machine during the memorizing process. The wavelet approach was used for EEG data processing and the relative power was calculated for each of the frequency band except delta rhythm from the clean EEG signal. The result showed that listening to sound stimuli during memorizing gave significant influence on gamma and beta activity. Based on paired t-test analysis it revealed that the gamma and beta showed more significant different at white noise (gamma: p = 0.001 < 0.050; beta: p = 0_000 < 0_050) compared to Mozart music relative (gamma: p = 0.014 < 0.050; beta: p =0.004<0.050) to silent condition. It indicates that the white noise is more effective to be listened during memorizing since it able to increase the alertness level of the subject and sensory processing of the input information. |
| first_indexed | 2024-03-05T20:09:19Z |
| format | Article |
| id | utm.eprints-75146 |
| institution | Universiti Teknologi Malaysia - ePrints |
| last_indexed | 2024-03-05T20:09:19Z |
| publishDate | 2017 |
| publisher | American Scientific Publishers |
| record_format | dspace |
| spelling | utm.eprints-751462018-03-27T05:55:08Z http://eprints.utm.my/75146/ Brain signal analysis to investigate sound effect on memorization Sayed Daud, S. N. S. Sudirman, R. TK Electrical engineering. Electronics Nuclear engineering Electroencephalography is an imaging of the electrical signal of the brain. It is widely use among the researcher compared to other techniques since it is affordable, non-invasive, able to record the signal in short time and painless to the subject. The brain signal can be divided into five specific frequency that known as alpha, beta, theta, delta and gamma band. These frequency bands will determine the characteristics of the brain signal. In this present study, the effect of sound stimuli in memorizing process is analyzed based on the relative power of the brain rhythm. Besides that, in this proposed study it is also aim to determine the effective sound stimuli for improving memorization. About 60 adults participated in this study. They are required to memorize the visual memory task at three different conditions, which are silence condition, listening to Mozart music, and listening to white noise, each for 2 minutes. The brain signal was recorded using Neurofax 9200 of EEG machine during the memorizing process. The wavelet approach was used for EEG data processing and the relative power was calculated for each of the frequency band except delta rhythm from the clean EEG signal. The result showed that listening to sound stimuli during memorizing gave significant influence on gamma and beta activity. Based on paired t-test analysis it revealed that the gamma and beta showed more significant different at white noise (gamma: p = 0.001 < 0.050; beta: p = 0_000 < 0_050) compared to Mozart music relative (gamma: p = 0.014 < 0.050; beta: p =0.004<0.050) to silent condition. It indicates that the white noise is more effective to be listened during memorizing since it able to increase the alertness level of the subject and sensory processing of the input information. American Scientific Publishers 2017 Article PeerReviewed Sayed Daud, S. N. S. and Sudirman, R. (2017) Brain signal analysis to investigate sound effect on memorization. Advanced Science Letters, 23 (11). pp. 11119-11123. ISSN 1936-6612 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85040862483&doi=10.1166%2fasl.2017.10233&partnerID=40&md5=0b3c6de7be83d273fea627f90cec9083 DOI:10.1166/asl.2017.10233 |
| spellingShingle | TK Electrical engineering. Electronics Nuclear engineering Sayed Daud, S. N. S. Sudirman, R. Brain signal analysis to investigate sound effect on memorization |
| title | Brain signal analysis to investigate sound effect on memorization |
| title_full | Brain signal analysis to investigate sound effect on memorization |
| title_fullStr | Brain signal analysis to investigate sound effect on memorization |
| title_full_unstemmed | Brain signal analysis to investigate sound effect on memorization |
| title_short | Brain signal analysis to investigate sound effect on memorization |
| title_sort | brain signal analysis to investigate sound effect on memorization |
| topic | TK Electrical engineering. Electronics Nuclear engineering |
| work_keys_str_mv | AT sayeddaudsns brainsignalanalysistoinvestigatesoundeffectonmemorization AT sudirmanr brainsignalanalysistoinvestigatesoundeffectonmemorization |