当前位置: X-MOL 学术Comput. Intell. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Design of intervention APP for children with autism based on visual cue strategy
Computational Intelligence ( IF 1.8 ) Pub Date : 2021-04-13 , DOI: 10.1111/coin.12445
Bingchen Zhang 1 , Yanqun Wang 1
Affiliation  

With the rise of the mobile Internet, APP treatment models for autism have also emerged. In China, there are not many applications of health education for children with autism. Its functions are mainly focused on prevention and improvement of knowledge. Many behavioral therapies include applying pressure to the invisible external pressure of autism to achieve appropriate stimulation and correction. This has brought great injustice to the wishes of the children. When children with autism strongly oppose this unfair behavior, it may lead to other extreme behaviors in children with autism. This article adopts the method of letting children with autism actually apply this APP for comprehensive intervention treatment, and let this APP combine with their daily courses: comprehensive sports training, speech training, cognitive training, game training, self-care training. For courses such as art training and computer games, the children were evaluated for the first time before training, and then evaluated every 2 months. Data were collected to compare whether the children's background factors had a significant impact on the rehabilitation effect of comprehensive interventions. The results of the experiment proved that in the five assessments of perception, gross motor, fine motor, language and communication, cognition, the children had statistically significant differences in the three scores (P < 0.05). This also shows from the side that our APP has a certain effect on children with autism, and is of great strategic significance for adjuvant treatment of autism.
更新日期:2021-04-13
down
wechat
bug