Abstract
In the Russian Federation, a large number of children are born with autism spectrum disorders, and the sooner parents notice such disorders in a child, and the earlier the rehabilitation and treatment program begins, the higher the likelihood of his social adaptation. The difficulties in raising such a child lie in the complexity of his learning outside of children’s groups and the complexity of his medical care. In this regard, the development of digital applications that facilitate medical care and education of such children at home is important and relevant. This paper formulates the requirements for building a telemedicine system that monitors the health status and supports the social adaptation of children with autism spectrum disorders. It is determined that the system will be an information resource on the Internet, including a hardware and software complex for remote monitoring of children’s health at home, the workplace of a doctor monitoring a child, dynamic video surveillance system of a child’s behavior using deep learning methods artificial neural networks with early diagnostics of reactive reactions, complex systems with elements of virtual reality and augmented reality for distance training and adaptation of the children, set of interactive tools and test definition of autism spectrum disorders in different age of the child. The methods for implementing such a telemedicine system are given. This work was supported by the RFBR grant 18-07-00987.
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Lebedev, G., Klimenko, H., Fartushniy, E., Shaderkin, I., Kozhin, P., Galitskaya, D. (2019). Building a Telemedicine System for Monitoring the Health Status and Supporting the Social Adaptation of Children with Autism Spectrum Disorders. In: Czarnowski, I., Howlett, R., Jain, L. (eds) Intelligent Decision Technologies 2019. Smart Innovation, Systems and Technologies, vol 143. Springer, Singapore. https://doi.org/10.1007/978-981-13-8303-8_26
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