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Articles

Vol. 6 (2019)

Analysis and Design of Rehabilitation Device in Sensory Integration Therapy for Autism Children

DOI
https://doi.org/10.31875/2409-9694.2019.06.9
Submitted
October 8, 2019
Published
08.10.2019

Abstract

A group of complex disorders in terms of brain development is known as Autism Spectrum Disorder (ASD). The rehabilitation device playing vital roles in this institute which provide crucial assistance in the process of helping the autism people. Nowadays, the development of the technologies has led to the integration of the rehabilitation device with technology to sophisticating the function of the device. In this study, the integration of the electrical and the electronic technologies will be implemented for the purpose of attracting the learning desire of the autism children. The performance of autism children in the aspect of ‘attention’ will be identified and discussed. Overall data that had been collected showed an improvement in the performance of both of the autism children. Hence, autism children showed that they had improved their performance by paying attention on the task that had been given and less doing unnecessary things that can keep their attention away.

References

  1. Turkstra LS, Clark A, Burgess S, Hengst JA, Wertheimer JC, Paul D. Pragmatic communication abilities in children and adults: implications for rehabilitation professionals. Disabil Rehabil 2018; 39(18): 1872-1885. https://doi.org/10.1080/09638288.2016.1212113
  2. Vicedo M. Ethopathology and Civilization Diseases: Niko and Elisabeth Tinbergen on Autism. Can Bull Med Hist 2018; 35(1): 1-31. https://doi.org/10.3138/cbmh.191-122016
  3. Liao HH, Roelle MJ, Chen JS, Park S, Gerdes JC. Implementation and analysis of a repetitive controller for an electro-hydraulic engine valve system. IEEE Trans Control Syst Technol 2011; 19(5): 1102-1113. https://doi.org/10.1109/TCST.2010.2076387
  4. Jacoby E. Community Perspectives on Autism Spectrum Disorder. The Ohio State University 2015.
  5. Thiess EK. Awareness of autism spectrum disorders in general education 2008.
  6. Knutsen JD. The understanding of teaching in children with Autism Spectrum Disorder 2013.
  7. AK W, Motor Learning in Children with an Autism Spectrum Disorder 2013.
  8. Atkins WE Jr. The history and significance of the autism spectrum. University of Toledo 2011.
  9. Ratajczak HV. Theoretical aspects of autism: Causes-A review. J Immunotoxicol 2011; 8(1): 68-79. https://doi.org/10.3109/1547691X.2010.545086
  10. Ghazali R, Soon CC, Hassan SNS, Sulaiman N. Design and development of therapeutic aid tools using human-machine interaction approach for children with autism spectrum disorder. Adv Intell Syst Comput 2018; 739: 530-537. https://doi.org/10.1007/978-981-10-8612-0_55
  11. Sachdeva P, Katchii S. A Review Paper on Raspberry Pi. Dimens 2014; 4(6): 3818-3819.
  12. Grobekathofer U, Manyakov NV, Mihajlovic V, Pandina G, Skalkin A, Ness S, Bangerter A, Goodwin MS. Automated detection of stereotypical motor movements in autism spectrum disorder using recurrence quantification analysis. Front Neuroinform 2017; 11(2): 1-11. https://doi.org/10.3389/fninf.2017.00009
  13. Yun SS, Choi JS, Park SK, Bong GY, Yoo HJ. Social skills training for children with autism spectrum disorder using a robotic behavioral intervention system. Autism Res 2017; 10(7): 1306-1323. https://doi.org/10.1002/aur.1778
  14. Liu X, Wu Q, Zhao W, Luo X. Technology-facilitated diagnosis and treatment of individuals with autism spectrum disorder: An engineering perspective. Appl Sci 2017; 7(10): 1-31. https://doi.org/10.3390/app8010001
  15. Grossard C, Palestra G, Xavier J, Chetouani M, Grynszpan O, Cohen D. ICT and autism care: State of the art. Curr Opin Psychiatry 2018; 31(6): 474-483. https://doi.org/10.1097/YCO.0000000000000455