A Study on the Music Genre for Relieving COVID-19 Depression

  IJETT-book-cover  International Journal of Engineering Trends and Technology (IJETT)          
  
© 2020 by IJETT Journal
Volume-68 Issue-12
Year of Publication : 2020
Authors : Ik-Soo Ahn
DOI :  10.14445/22315381/IJETT-V68I12P226

Citation 

MLA Style: Ik-Soo Ahn.  A Study on the Music Genre for Relieving COVID-19 Depression International Journal of Engineering Trends and Technology 68.12(2020):160-165. 

APA Style:Ik-Soo Ahn. A Study on the Music Genre for Relieving COVID-19 Depression  International Journal of Engineering Trends and Technology, 68(12), 160-165.

Abstract
As the COVID-19 situation prolongs, especially young people who should be far more active than adults, it is very difficult to endure being controlled and repressed. According to reports from relevant ministries, the number of depressed patients and patients with psychotic symptoms suffering from anxiety and anxiety has increased significantly compared to previous years. There are reports that the number of patients who eventually lead to suicide has increased significantly. In this paper, for those suffering from psychotic diseases such as depression, anxiety, and anxiety due to COVID-19, we studied how much can be solved through the natural method of listening to music. In addition, we studied which music genre among music has a greater help in relieving depression caused by COVID-19. The music genre selected for the study was used to compare the calm classical music and exciting dance music, which are opposite music genres, to compare the results. As a research method, the EEG test and MOS test were conducted by dividing into when not listening to music, listening to calm classical music, and listening to exciting dance music. As a result of the brainwave test, it was found that listening to exciting dance music results in a relatively high proportion of alpha and beta waves generated when excitement or concentration, bringing a positive mind, active motivation, and joyful mood. In the MOS test results, it was found that when I listened to music than when I was not listening to music, I felt better, and the exciting dance music relieved my depression and was able to change my mood for a while. Two results show that listening to music is recommended to relieve depression and anxiety and anxiety caused by COVID-19, and exciting dance music is more effective than calm classical music.

Reference
[1] V.G. Girish, Fear of COVID-19 as a mediating factor on perceived risks and behavioral intention, Korean corporate management review. 11( 3) (2020) 1-10.
[2] Meibo Huang, Qiuyun Duan, The most recent lessons that China has learned from the COVID-19 situation and its implications for Northeast Asia Development Cooperation, International development, and cooperation review. 12 (3) (2020) 5-10.
[3] Raveen Lekamwasam, Sarath Lekamwasam, Effects of COVID-19 pandemic on older people`s health and well-being: a comprehensive review, Annals of geriatric medicine and research. 24 (3) (2020) 166-172.
[4] Lu Tansheng, Xu Changde, The protective effects of resilience on COVID-19 stress, The journal of humanities and social sciences 21. 11(1) (2020) 279-290.
[5] Eun-Woo nam, Social prescribing: overcome social isolation and depression of COVID-19 outbreak era, Korean journal of health education and promotion. 37 (1)(2020) 113-116.
[6] chive/macros/latex/contrib/supported/IEEEtran/
[7] Hyejin Yang, Differences in depression and psychological emotions according to the degree of self-elasticity of first-year college students in COVID-19, The journal of the convergence on culture technology. 6 (3) (2020) 75-82.
[8] Hee-soon Lee, Na-Hyun Ahn, Eun-Jin Jeon A case study of online art therapy in COVID-19: a focus on depression and parenting stress relief for a preschooler`s mother, Art Therapy Research. 27(5), 110 (2020) 1059-1084. Korean Society for Art Therapy 2020.10.10 Periodicals Room (No. 524)
[9] Takashi Asai, The best manual: survive great depression in COVID-19 pandemic, General book Tokyo Second Sea Aid Team 2020.
[10] Yu-Ri Choi, BRAIN 38, Korea Institute of Brain Science, 2013.1,58-59
[11] Ji-Sung Yoon, Myung-Sook Kim, Myung-Jin Bae, An Analysis of Brainwaves in Patient with Anxiety Disorder, IJCC 2016 2nd International Joint Conference, (2016)18-22.
[12] Myung-Jin Bae, Sang-Hyo Lee, Digital Speech analysis (1998)
[13] S. H. Kang, S. H. Jung, H. K. Jung, J. W. Lee, Editors. Analysis of Reverberation time, The Acoustical Society of Korea, (2010) 311-314
[14] B. H. Yun, G. R. Baek, M. J. Bae, Editors. A Study on Building SVDB to Monitor a Soft Voice, The Institute of Electronics and Information Engineers, (2011) 800-801
[15] H. W. Park, S. G. Bae, M. J. Bae, Editors. Improving Pitch Search Through Emphasized Harmonics, The Acousical Society of Korea, (2012), pp.230-232
[16] Seong-Geon Bae, Myung-Jin Bae, A New Speech Coding using Harmonics Emphasis Filter, ISAAC 2013, AACL 1 (2013) 43-44, 2013.
[17] Ik-Soo Ahn, Seong-Geon Bae, Myung-Jin Bae, A Study on Warning Sound for Drowsiness Driving Prevention System, International Journal of Applied Engineering Research ISSN 0973-4562 12(24) (2017) 14088-14094.
[18] Seong-geon Bae, Myung-sook Kim, Myung-jin Bae, On Evaluating Various Music Genre for Relieving Symptoms of Depression,” IJCC2016, Advanced and Applied Convergence letters(ISSN 2288-6060), AACL07 (2016) 247-248.
[19] Ik-Soo Ahn, Seong-Geon Bae, Myung-Jin Bae, A Study on the Possibility of Retaliatory Driving against Car Klaxon`s Sounds, International Journal of Applied Engineering Research ISSN 0973-4562 13(3) (2018) 1578-1585.
[20] S.G. Bae, M.S. Kim, and M.J. Bae, On Enhancement Signal Using Non-uniform Sampling in Clipped Signals for LTE Smart Phones, 2013, IEEE ICCEberlin, 125-126, ICCE-Berlin 2013.
[21] Seong-Geon Bae, Myung-Sook Kim, and Myung-Jin Bae, Using High-Frequency Accentuation in Speech Signals as a New Parameter in Intoxication Judgment. Information, An International Interdisciplinary Journal, 17 (2014) 6531-6536.

Keywords
COVID-19, mask, isolation, depression, music genre, classical music, dance music, brainwave