Identifying Autistic Children by Machine Learning Models with Features Extracted from Wearable Inertial Sensors-Reference-Cited by-同舟云学术

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Identifying Autistic Children by Machine Learning Models with Features Extracted from Wearable Inertial Sensors

Published:2023-11-10 Issue: Volume: Page:1-3
ISSN:
Container-title:2023 Cross Strait Radio Science and Wireless Technology Conference (CSRSWTC)
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Author:

Qiu Kai¹,Wang Hongan¹,Liu Fulin¹,Dong Yuhong²,Yu Dongchuan¹

Affiliation:

1. School of Biological Science and Medical Engineering, Southeast University,Key Laboratory of Child Development and Learning Science (Ministry of Education),Nanjing,Jiangsu,China,210096

2. Henan Provincial Medical Key Lab of Language Rehabilitation for Children, Sanmenxia Center Hospital,Sanmenxia,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10426787/10426807/10427347.pdf?arnumber=10427347

Reference16 articles.

1. Prevalence and Characteristics of Autism Spectrum Disorder Among Children Aged 8 Years — Autism and Developmental Disabilities Monitoring Network, 11 Sites, United States, 2020

2. Fundamental movement skills in children with autism spectrum disorder: A systematic review

3. Motor Abilities in Autism: A Review Using a Computational Context

4. Motor skills of toddlers with autism spectrum disorders

5. Postural control processes during standing and step initiation in autism spectrum disorder

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