A Mobile Health Application for Monitoring Children With Autism Spectrum Disorder

Autor: Masud Rabbani, Munirul M. Haque, Dipranjan Das Dipal, Md Ishrak Islam Zarif, Anik Iqbal, Shaheen Akhter, Shahana Parveen, Mohammad Rasel, Tanjir Rashid Soron, Naveen Bansal, Amy Schwichtenberg, Syed Ishtiaque Ahmed, Sheikh Iqbal Ahamed
Rok vydání: 2022
Zdroj: AI Applications for Disease Diagnosis and Treatment ISBN: 9781668423042
DOI: 10.4018/978-1-6684-2304-2.ch002
Popis: Currently, one out of 160 children have autism spectrum disorder (ASD) in the world. This problem is observed in both developed and low-middle-income countries (LMICs) around the globe. Usually, in developed countries, the number can be estimated, but in LMICs, this number is largely unknown, and in some cases, many children with ASD are not treated after identification of the problem. In these cases, both for the developed and LMICs, mobile technology can continuously monitor children with ASD. In this chapter, the authors describe the techniques of remote monitoring of the behavioral and milestone parameters development for children with ASD that care practitioners can use as an evidence-based tool to make the decision in the treatment process. Lastly, the authors describe the advantages and challenges of using the mHealth tools in the ASD treatment based on the NIH-funded successful completion project “mCARE” in Bangladesh.
Databáze: OpenAIRE