Proceedings of the 2nd International Conference on Advances in Mechanical Engineering and Industrial Informatics (AMEII 2016)

The Analysis of Music Therapy in Children with Autism Treatment based on Computer Technology

Authors
Yan Liu, Li-li Wan, Ya-fen Wu
Corresponding Author
Yan Liu
Available Online April 2016.
DOI
10.2991/ameii-16.2016.239How to use a DOI?
Keywords
Computer technology, Music therapy, Children with autism
Abstract

Music therapy based on computer technology has now become a popular way of psychological disease treatment. The treatment's main medium is music signal. Send music signals through computer, and then pass it to psychological consultant to make him get some energy to change his state of body and mind. Music therapy in children with autism treatment also has a good effect. This article analyzes music therapy in children with autism treatment under computer technology. First of all, analyze the definition and methods of music therapy, secondly understand the cause and characteristics of the children with autism, and then give music therapy strategy.

Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2nd International Conference on Advances in Mechanical Engineering and Industrial Informatics (AMEII 2016)
Series
Advances in Engineering Research
Publication Date
April 2016
ISBN
10.2991/ameii-16.2016.239
ISSN
2352-5401
DOI
10.2991/ameii-16.2016.239How to use a DOI?
Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Yan Liu
AU  - Li-li Wan
AU  - Ya-fen Wu
PY  - 2016/04
DA  - 2016/04
TI  - The Analysis of Music Therapy in Children with Autism Treatment based on Computer Technology
BT  - Proceedings of the 2nd International Conference on Advances in Mechanical Engineering and Industrial Informatics (AMEII 2016)
PB  - Atlantis Press
SN  - 2352-5401
UR  - https://doi.org/10.2991/ameii-16.2016.239
DO  - 10.2991/ameii-16.2016.239
ID  - Liu2016/04
ER  -