An Affective-Based E-Healthcare System Framework
|© 2020 by IJCTT Journal|
|Year of Publication : 2020|
|Authors : Olumide Obe, Folasade Oluwayemisi Akinloye, Olutayo Boyinbode|
|DOI : 10.14445/22312803/IJCTT-V68I4P132|
How to Cite?
Olumide Obe, Folasade Oluwayemisi Akinloye, Olutayo Boyinbode, "An Affective-Based E-Healthcare System Framework," International Journal of Computer Trends and Technology, vol. 68, no. 4, pp. 216-222, 2020. Crossref, https://doi.org/10.14445/22312803/IJCTT-V68I4P132
This work is focused on developing an affective-based e-healthcare system which is tailored towards children with intellectual disability especially children with autism spectrum disorder (ASD). Inaccessibility of healthcare facilities contributed immensely to the health well-being of the vulnerable and; the challenge of not understanding their emotional status can be stressful on the part of the caregivers/parents. This framework deployed telecommunication services, internet and sensor technology to bridge the gap between the chasm of access to quality healthcare and patients with ASD in rural or underserved areas. The objective of this framework is to develop an emotional-based e-Healthcare model. This was achieved using electrodermal activity and Speech recognizer sensor to gather physiological data from an autistic patient, where an affective system was designed using fuzzy logic to analyze the dataset and classify them into the emotional state of the patient. This framework also includes an intelligent system recommending music therapy, whenever there is an indication that the patient emotional state is mounting towards meltdown that can result in behavioral disorder, an alarm is signaled before the moment a specialist is reached. This affective system is integrated into an e-healthcare system for accessibility purposes. Therefore, an affective-based eHealthcare framework is been developed to serve ASD patients in the urban areas, while the rural dwellers are not left out in the access to quality healthcare services.
Affective computing, Autism Spectrum Disorder (ASD), Emotions, Electrodermal activity (EDA), E-health
 G. Eysenbach(2001) “What is e-health” J Med Internet Res [Internet] 3: e20. http://www.jmir.org/2001/2/e20/.
 O. Obe and F.O. Akinloye,” Integration of Emotional Assessment into E-Health Care Delivery: For Autism Spectrum Disorder: A Review”. Health Sciences Research. Vol. 4, No 6, pp 46-56. R. Charron “Autism Rates Across the Developed World”, 2017
 Centres for Disease Control and Prevention (CDC), (2014) [Online]. https://www.cdc.gov/media/releases/2014/p0327-autism-spectrum-disorder.html.
 GTbank’s Orange Ribbon Initiative offers Therapy to Autism in Nigeria. (2015)(http://lagosmums.com/gtbanks-orange-ribbon-initiative-offers-therapy-to-autism-in-nigeria/
 S.A, Eldin, D, Habib, A, Noufal, S, Farrag, K, Bazaid, M, Al-Sharbati, H, Badr, S, Moussa, A, Essali, and N Gaddour, “Use of M-CHAT for a multinational screening of young children with autism in the Arab countries”, Int Rev Psychiatry, Vol. 20 No 3 pp. 281 – 289, 2008.
 C. Wang, “The Implementation of a Tele-Homecare System with Service Oriented Architecture and HL7 Message Transmission Standard American”, Journal of Public Health Research, Vol. 1, No. 1, 18-26, 2013.
 R. J. Rodrigues , (2008) “Compelling issues for adoption of e-health” eHealth Strategies, USA The Commonwealth Health Ministers Reference Book.
 C. Lisetti, F. Nasoz, C. LeRouge, O. Ozyer, and K. Alvarez, "Developing Multimodal Intelligent Affective Interfaces for Tele-Home Health Care” International Journal of Human-Computer Studies, vol. In Press 2003.
 I. Helmut and Mitsuru, “What Affective Computing and Life-Like Character Technology can do for Tele-Home Health Care” In Workshop on HCI and Homecare: Connecting Families and Clinicians (Online Proceedings) in conj. with CHI, 2003.
 D.K. Christos, G. George, and I.F. Dimitrios“An integrated telemedicine platform for the assessment of affective physiological states”. Avalaible from: Diagnostic pathology (2006) http://www.diagnosticpathology.org/com/content/1/1/16
 W. Mincheol and L. Joasang “A Physiological Approach to Affective Computing”, Affective Computing, Jimmy Or (Ed.), InTech, 2008 R.W. Picard, and J. Healey. Affective wearables. Personal Technologies 1(4), 231–240, 1997.
 S. B., Cohen “From attention-goal psychology to belief-desire psychology: The development of a theory of mind and its dysfunction” Understanding Other Minds: Perspectives from Autism (Oxford: Oxford University Press), 59–82, 1993.
 R. T., Bedeley and P. Palvia, “A Study of the Issues of E-Health Care in Developing Countries: The Case of Ghana.” Twentieth Americas Conference on Information Systems, Savannah, 2014.
 N., Sanandaji, Den innovativavården (Rapport 2012:10) Stockholm: Vinnova., 2012
 WHO (2005). Available Online: http://www.jidaw.com/itsolutions/ehealth_telemedicine_nigeria.html
 K. McCord and E. Watts, “Collaboration and Access for Our Children: Music Educators and Special Educators” Together, Music Educators Journal, 26-33, 2006.
 M. Geretsegger, C., Elefant, K., Mössler, K., and C., Gold, “Music therapy for people with autism spectrum disorder”. The Cochrane library, (6), 2014.