Abstract
This study innovatively designs a music therapy music selection recommendation system based on Case-based Spiral Diagnosis Reasoning with Consortium Blockchain Knowledge Base (CBSDR-CBKB) model. The purpose of this study is that hypertensive patients could effectively improve their physical and mental health by normalizing blood pressure through music therapy provided by CBSDR-CBKB system. In view of the lack of a music therapy recommendation system, this paper adopts the combination of case-based reasoning with spiral diagnosis procedure to recommend the music selection for the music therapist who provides to patients the therapist to listen to different types of music to make an integrated music selection recommendation application system. It not only makes it easy for hypertensive patients and their families to find music styles and selection principles suitable for music therapy, but also retains successful cases and failed cases and can screen cases more efficiently. Furthermore, this study is first design with a music therapy selection recommendation system. In CBSDR-CBKB. The steps of this study are to input the characteristic attributes of hypertensive blood pressure subjects, use the spiral theoretical model based on case reasoning to search for initial similar cases, and then perform periodic music therapy and recording after modification according to the case attributes. Next, the results output a music therapy record of the case according to the assessment of the Taiwan Hypertension Society and Taiwan Society of Cardiology, which includes a set of relative or modified music therapy strategies and a set of corresponding treatment effects, providing a music therapy recommendation. Each record will then be stored in Consortium Blockchain Platform. The system enables patients with hypertension caused by autonomic nervous system disorders to find suitable music styles to assist in the treatment or control of hypertension.
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References
Hsu, P.-Y.: The Study of Music Therapy Model Design Based on Blockchain Platform and Case-based Reasoning Mechanism. Master thesis, Department of Computer Science and Information Engineering, Asia University, Taiwan. National Digital Library Theses and Dissertations in Taiwan, National Central Library, R.O.C, (2023)
Xu, W.: Response of music therapy to body mechanism and automatic efficacy evaluation system based on artificial intelligence technology. In: 2021 2nd International Seminar on Artificial Intelligence, Networking and Information Technology (AINIT), INSPEC Accession Number: 21665597 (2021). https://doi.org/10.1109/AINIT54228.2021.00020
Zhao, N.: Intelligent system of somatosensory music therapy information feedback in deep learning environment. Complexity 2021, 1–11 (2021). https://doi.org/10.1155/2021/9935504
Dutta, E., Bothra, A., Chaspari, T., Ioerger, T., Mortazavi, B.J.: Reinforcement Learning using EEG signals for Therapeutic Use of Music in Emotion Management. In: 2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), INSPEC Accession Number: 19963922, pp 1–4 (2020)
Xu, C., He, Z., Shen, Z., Huang, F.: Potential benefits of music therapy on stroke rehabilitation. Oxidative Med. Cell. Longevity 2022, 1–11 (2022). https://doi.org/10.1155/2022/9386095
Krout, R.E.: Music listening to facilitate relaxation and promote wellness: Integrated aspects of our neurophysiological responses to music. Arts Psychother. 34(2), 134–141 (2007). https://doi.org/10.1016/j.aip.2006.11.001
Lim, M.S., et al.: Leisure sedentary time is differentially associated with hypertension, diabetes mellitus, and hyperlipidemia depending on occupation. BMC Public Health 17, 278 (2017). https://doi.org/10.1186/s12889-017-4192-0
Gupta, N., Korshøj, M., Dumuid, D., Coenen, P., Allesøe, K., Holtermann, A.: Daily domain-specific time-use composition of physical behaviors and blood pressure. Int. J. Behav. Nutr. Phys. Act. 16, 4 (2019). https://doi.org/10.1186/s12966-018-0766-1
Aamodt, A., Plaza, E.: Case-based reasoning: foundational issues, methodological variations, and system approaches. AI Commun. 7(1), 39–59 (1994). https://doi.org/10.3233/AIC-1994-7104
Tseng, S.-S., Chen, H.-C., Hu, L.-L., Lin, Y.-T.: CBR-based negotiation RBAC model for enhancing ubiquitous resources management. Int. J. Inform. Manag. 37(1), 1539–1550 (2017). https://doi.org/10.1016/j.ijinfomgt.2016.05.009
Chen, H.-C., Damarjati, C., Prasetyo, E., Arofiati, F., Sugiyo, D.: Blockchain technology benefit in tackling online shopping transaction revocation issue. In: Proceedings of the 2020 The 6th International Conference on Frontiers of Educational Technologies (ICFET 2020), pp. 191–195. Tokyo, Japan (2020). https://doi.org/10.1145/3404709.3404757
Chen, H.-C., et al.: An implementation of trust chain framework with hierarchical content identifier mechanism by using Blockchain technology. Sensors 22(13), 4831 (2022). https://doi.org/10.3390/s22134831
Chen, H.-C., Liang, Y.-H., Hsu, P.-Y.: Reconfigurable PM2.5 sensor green deployment mechanism based on Blockchain technology. In: Tsihrintzis, G.A., Wang, S.-J., Lin, I.-C. (eds.) 2021 International Conference on Security and Information Technologies with AI, Internet Computing and Big-data Applications, pp. 368–378. Springer International Publishing, Cham (2023). https://doi.org/10.1007/978-3-031-05491-4_37
Chen, H.-C.: A trust evaluation gateway for distributed Blockchain IoT network. In: Chen, J.-L., Pang, A.-C., Deng, D.-J., Lin, C.-C. (eds.) Wireless Internet: 11th EAI International Conference, WiCON 2018, Taipei, Taiwan, 15–16 Oct 2018, Proceedings, pp. 156–162. Springer International Publishing, Cham (2019). https://doi.org/10.1007/978-3-030-06158-6_16
Chen, H.-C., Irawan, B., Shae, Z.-Y.: A cooperative evaluation approach based on Blockchain technology for IoT application. In: Barolli, L., Xhafa, F., Javaid, N., Enokido, T. (eds.) IMIS 2018. AISC, vol. 773, pp. 913–921. Springer, Cham (2019). https://doi.org/10.1007/978-3-319-93554-6_92
Chen, H.-C., Kuo, S.-S., Chen, H.-M.: Secure OTT service scheme based on Blockchain technology. In: The 32nd IEEE International Conference on. Advanced Information Networking and Applications (IEEE AINA-2018), pp. 645–650. Pedagogical University of Cracow, Poland (2018). https://doi.org/10.1109/WAINA.2018.00161
Chen, H.-C., Liang, Y.-H., Su, J.-S., Tsai, K.-Y., Song, Y.-L., Hsu, P.-Y., Cai, J.-S.: The implement of a reconfigurable intelligence trust chain platform with anti-counterfeit traceable version function for the customized system-module-IC. In: Barolli, L. (ed.) Innovative Mobile and Internet Services in Ubiquitous Computing: Proceedings of the 17th International Conference on Innovative Mobile and Internet Services in Ubiquitous Computing (IMIS-2023), pp. 261–272. Springer Nature Switzerland, Cham (2023). https://doi.org/10.1007/978-3-031-35836-4_28
Acknowledgment
This work was supported by the Chelpis Quantum Tech Co., Ltd., Taiwan, under the Grant number of Asia University: I112IB120. This work was supported by the National Science and Technology Council (NSTC), Taiwan, under NSTC Grant numbers: 111-2218-E-468-001-MBK, 110-2218-E-468-001-MBK, 110-2221-E-468-007, 111-2218-E-002-037 and 110-2218-E-002-044. This work was also supported in part by Asia University, Taiwan, and China Medical University Hospital, China Medical University, Taiwan, under grant numbers below. ASIA-111-CMUH-16, ASIA-110-CMUH-22, ASIA108-CMUH-05, ASIA-106-CMUH-04, and ASIA-105-CMUH-04.
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Chen, HC., Hsu, PY., Su, JS. (2024). A Music Therapy Model Based on Consortium Blockchain Platform with Evidence and Tracking Efficacy of Hypertension Treatment. In: Barolli, L. (eds) Advances on Broad-Band and Wireless Computing, Communication and Applications. BWCCA 2023. Lecture Notes on Data Engineering and Communications Technologies, vol 186. Springer, Cham. https://doi.org/10.1007/978-3-031-46784-4_31
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