The Study on Brainwave Meditation Parameter using Binaural Beats Music

碩士 === 國立嘉義大學 === 生物機電工程學系研究所 === 104 === Based on previous research, Binaural Beats had the potentials to ameliorate stress, improve memory and enhance creativity. First, this study involves in three different types of Binaural Beats music frequencies (8 Hz, 10 Hz and 12 Hz) for measuring EEG with...

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Main Authors: Jhong-En Jheng, 鄭仲恩
Other Authors: Chao-Wang Young
Format: Others
Language:zh-TW
Online Access:http://ndltd.ncl.edu.tw/handle/24585503139376806324
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spelling ndltd-TW-104NCYU57300022017-09-03T04:25:05Z http://ndltd.ncl.edu.tw/handle/24585503139376806324 The Study on Brainwave Meditation Parameter using Binaural Beats Music 以雙耳波差音樂來探討腦波放鬆參數之研究 Jhong-En Jheng 鄭仲恩 碩士 國立嘉義大學 生物機電工程學系研究所 104 Based on previous research, Binaural Beats had the potentials to ameliorate stress, improve memory and enhance creativity. First, this study involves in three different types of Binaural Beats music frequencies (8 Hz, 10 Hz and 12 Hz) for measuring EEG with a NeuroSky mindset. Second, analyze data which acquired from LabVIEW brain computer interface, by using SPSS through multiple regression analysis. Third, compute and compare the minimum error between the NeuroSky eSense algorithm and our equation, and find the optimal relaxation equation of meditation parameter. There were 20 test subjects involved in this study. The previous result indicated that the Binaural Beats music at 12 Hz had the best performance for meditation experiment. After the SPSS multiple regression analysis, the meditation equation shown below: Meditation=(-0.060)×δ+(-0.131)×θ+0.564×α_((Low) )+0.429×α_((High))+0.311×β_((Low) )+0.273×β_((High)) Chao-Wang Young 楊朝旺 學位論文 ; thesis 71 zh-TW
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language zh-TW
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sources NDLTD
description 碩士 === 國立嘉義大學 === 生物機電工程學系研究所 === 104 === Based on previous research, Binaural Beats had the potentials to ameliorate stress, improve memory and enhance creativity. First, this study involves in three different types of Binaural Beats music frequencies (8 Hz, 10 Hz and 12 Hz) for measuring EEG with a NeuroSky mindset. Second, analyze data which acquired from LabVIEW brain computer interface, by using SPSS through multiple regression analysis. Third, compute and compare the minimum error between the NeuroSky eSense algorithm and our equation, and find the optimal relaxation equation of meditation parameter. There were 20 test subjects involved in this study. The previous result indicated that the Binaural Beats music at 12 Hz had the best performance for meditation experiment. After the SPSS multiple regression analysis, the meditation equation shown below: Meditation=(-0.060)×δ+(-0.131)×θ+0.564×α_((Low) )+0.429×α_((High))+0.311×β_((Low) )+0.273×β_((High))
author2 Chao-Wang Young
author_facet Chao-Wang Young
Jhong-En Jheng
鄭仲恩
author Jhong-En Jheng
鄭仲恩
spellingShingle Jhong-En Jheng
鄭仲恩
The Study on Brainwave Meditation Parameter using Binaural Beats Music
author_sort Jhong-En Jheng
title The Study on Brainwave Meditation Parameter using Binaural Beats Music
title_short The Study on Brainwave Meditation Parameter using Binaural Beats Music
title_full The Study on Brainwave Meditation Parameter using Binaural Beats Music
title_fullStr The Study on Brainwave Meditation Parameter using Binaural Beats Music
title_full_unstemmed The Study on Brainwave Meditation Parameter using Binaural Beats Music
title_sort study on brainwave meditation parameter using binaural beats music
url http://ndltd.ncl.edu.tw/handle/24585503139376806324
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