Teng Yue, Bao Jinlei, Li Yinfeng, Ye Haichun
College of Human and Health Sciences, Swansea University, Swansea, United Kingdom.
College of Nursing, Shandong Xiehe University, Jinan, Shandong, China.
Front Neurorobot. 2023 Jan 19;17:1120560. doi: 10.3389/fnbot.2023.1120560. eCollection 2023.
Music therapy is a common method to relieve anxiety and pain in cancer patients after surgery in recent years, but due to the lack of technical and algorithmic support, this therapy is not particularly stable and the therapeutic effect is not good. In this study, a neural network robotic system based on breast cancer patients was designed to analyze the effect of music relaxation training on alleviating adverse reactions after chemotherapy in breast cancer patients. Firstly, this paper introduces the necessity of neural network robot system research under the background of music therapy, and then summarizes the positive effect of music relaxation therapy on alleviating adverse reactions after chemotherapy in breast cancer patients, finally, uses neural network robot system to construct music therapy system. The experimental results show that the new music therapy proposed in this study has a good effect in alleviating the adverse reactions of breast cancer patients after chemotherapy, and the cure rate is increased by 7.84%. The research results of this paper provide reference for the next development of neural network robot system in the medical field.
音乐疗法是近年来缓解癌症患者术后焦虑和疼痛的常用方法,但由于缺乏技术和算法支持,这种疗法不太稳定,治疗效果不佳。在本研究中,设计了一种基于乳腺癌患者的神经网络机器人系统,以分析音乐放松训练对缓解乳腺癌患者化疗后不良反应的效果。首先,本文介绍了在音乐疗法背景下进行神经网络机器人系统研究的必要性,然后总结了音乐放松疗法对缓解乳腺癌患者化疗后不良反应的积极作用,最后,利用神经网络机器人系统构建音乐治疗系统。实验结果表明,本研究提出的新音乐疗法在缓解乳腺癌患者化疗后不良反应方面具有良好效果,治愈率提高了7.84%。本文的研究结果为神经网络机器人系统在医学领域的后续发展提供了参考。