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ThinkMind // SENSORCOMM 2021, The Fifteenth International Conference on Sensor Technologies and Applications // View article sensorcomm_2021_1_40_10025


On Exploring the Use of Mobility Parameters in the Analysis of Early Childhood Developmental Disorders

Authors:
Rama Krishna Thelagathoti
Hesham H.Ali

Keywords: mobility; developmental disorder; wearable sensor;

Abstract:
Impaired motor development is one of the initial signs of early childhood developmental disorders. Autism spectrum disorder (ASD), Cerebral Palsy (CP), and Attention Deficit Hyperactivity Disorder (ADHD) are the most common disorders that infants are affected in the USA. Albeit they are not being diagnosed until their school-age because there is no standardized clinical diagnosing routine like a blood test. Existing clinical diagnostic approaches are predominantly dependent on observational assessment by a trained physician along with patient feedback. Furthermore, these methods are subjective and do not provide an accurate decision. Nonetheless, research findings reveal that abnormal motor skills are often the initial signs of later developmental disorders. This paves the way for exploring alternative opportunities to identify the disease in the early stages of childhood. Recent advancements in sensing technologies facilitate convenient as well as unobtrusive methods to collect the mobility data even from the infants and be able to detect the disorder. Wearable devices are tiny and easy to use in collecting motor data from neonates and distinguish abnormal motor development from normal motor development. Thus, mobility data collection from an infant using a wearable sensor is beneficial in the early diagnosis of developmental disabilities like cerebral palsy. Our main contribution in this study is to present the analysis of various wearable sensor-based motor assessment methods in predicting childhood disorders. Furthermore, this document presents various crucial mobility parameters associated with identifying childhood disorders.

Pages: 15 to 21

Copyright: Copyright (c) IARIA, 2021

Publication date: November 14, 2021

Published in: conference

ISSN: 2308-4405

ISBN: 978-1-61208-917-1

Location: Athens, Greece

Dates: from November 14, 2021 to November 18, 2021

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