Online music-assisted rehabilitation system for depressed people based on deep learning.

Journal: Progress in neuro-psychopharmacology & biological psychiatry
Published Date:

Abstract

The processing of negative emotions is closely related to the occurrence of depression, and improving the mood of patients with depression has an important effect on improving symptoms. This article applies deep learning to the diagnosis and treatment of depression patients, combined with music-assisted rehabilitation to help depression patients recover. Moreover, this paper strengthens deep learning, combines the psychological characteristics of depression to improve the algorithm, and analyzes the algorithm with music-assisted rehabilitation, and obtains an intelligent algorithm that can be applied to the music-assisted rehabilitation system. Finally, this paper constructs an online music-assisted rehabilitation system for depression based on deep learning. The results of the experimental research show that the online music-assisted rehabilitation system for depression based on deep learning can play an important role in the treatment of depression.

Authors

  • Yang Heping
    Conservatory of music, Zhejiang Normal University, Jinhua, Zhejiang 321000, China. Electronic address: yangheping8563@163.com.
  • Wang Bin
    Music and Dance College of Hunan First Normal University, Changsha, Hunan 410000, China.