Exploration of EEG Learning Curves during the Music Playing Process from Rusty to Skilled Performance

• Main Authors: Ya-Chi Su, 蘇雅琪
• Other Authors: Terry B.J. Kuo
• Format: Others
• Language: zh-TW
• Published: 2019
• Online Access: http://ndltd.ncl.edu.tw/handle/e763zm

碩士 === 國立陽明大學 === 腦科學研究所 === 107 === Background: In the era of information explosion, people are always learning. Research in-di-cated that people learned by experiences which led to long-lasting changes in behavior or be-havioral potential. However, there are few studies explored EEG changes in the learning process, which increase the difficulty for people to quantify the effects of learning. There-fore, this study aims to observe the EEG changes in the learning process through playing piano. Most of the previous studies used motor learning skills to understand EEG changes in a few seconds. In this study, we combined the self-developed wearable electroencephalo-graph to record the EEG of participants while they were playing piano. Through the EEG changes from rusty to skilled of participants, we analyze EEG signals to understand the evolution of the learning process. Hypothesis: Self-developed Electroencephalogram can record and observe the real-time EEG of participants, which could help them to explore the proficiency change of themselves from rusty to skilled. Specific aims: (1) Develop minia-ture BLE 2 channels Electroencephalogram. (2) Observe the EEG of participants while they were playing piano. (3) Record the EEG changes of participants from rusty to skilled, and analyze the results of EEG and questionnaire. Material and methods: Self-developed Elec-troencephalogram with low power consumption used Nordic Semiconductor’s nrf51822 as microcontroller and Bluetooth transceiver. It could measure EEG (sampling rate: 125 Hz; resolution: 32 bit) directly and transfer data to smart phone by Bluetooth. At the beginning of the experiment, all participants are asked to relax for 30 seconds for baseline, then played piano for 5 minutes and relax 5 minutes then played 10 minutes . All participants filled Vis-ual Analogue Scale (VAS) before and after the experiment. The experiment lasted for two weeks and recorded five times a week. Results: 23 subjects were recruited in this study and divided into three groups: piano experience 1-3 years, 4-5 years, and 7-10 years. Through the results of Spearman correlation coefficient, there is a high correlation in difference of VAS-anxiety and difference of alpha, difference of VAS-anxiety and difference of beta in the group of 7-10 years. There is also a high correlation between difference of VAS-mood and difference of gamma in the group of 7-10 years. Results showed that alpha, beta, gamma had a trend of decline in the period of playing piano. The decline of alpha, beta and gamma may be an indicator from rusty to skilled. Conclusion: Results indicated alpha, beta, gamma power were decreasing during 10 days. It seems to be an indicator to distinguish the change from rusty to skill in the learning process. For subjects who had longer piano experiences, we can use the correlation of EEG and VAS to estimate their learning process.