Abstract
Smartphones have opened a new world of opportunities in the context of health care. Particularly, they can be used in behavioral monitoring scenarios. This paper presents a system based on mobile and cloud computing technologies for managing multimodal and unstructured data in an ubiquitous and pervasive platform. The proposed system allows parents, teachers and tutors to collect information of children behavior. The proposed system aims to provide a technological tool for aiding psychologists and psychiatrists to perform evidence-based diagnosis and therapy as a strategy to improve the management of mental disorders in children and adolescents.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
Notes
References
American Psychiatric Association. Diagnostic and Statistical Manual of Mental Disorders (2013)
Amorós, M.O., Carrillo, X.M., Alcázar, A.I.R., Saura, C.J.I., Saura, C.J.I., Carrillo, F.J.M., Alcázar, A.I.R., Amorós, M.O., Carrillo, X.M., Alcázar, I.A.R.: La terapia cognitivo-conductual en problemas de ansiedad generalizada y ansiedad por separación : Un análisis de su eficacia. Anales de Psicol. 19(2), 193–204 (2003)
Apps4SpecialEducation. Behavior tracking (2015)
AutismApps. Behavior management, ef and data tools (2015)
BehaviorTrackerPro. Skill tracker pro (2015)
Kaiser, S.M., Brenner, C.J., Begale, M., Duffecy, J., David, C.M., Ben-Zeev, D.: Development and usability testing of focus: a smartphone system for self-management of schizophrenia. Psychiatric Rehabil. J. 36(4), 289–296 (2013)
Cloud Standards Customer Council. Impact of Cloud Computing on Healthcare, November 2012
Frost, M., Marcu, G., Hansen, R., Szaanto, K., Bardram, J.E.: The MONARCA Self-assessment System: Persuasive Personal Monitoring for Bipolar Patients. IEEE, New York (2011)
Hanely, G.P., Iwata, B.A., McCord, B.E.: Functional analysis of problem behavior: a review. J. Appl. Behav. Anal. 36(2), 147–185 (2003)
Hoang, D.B., Chen, L.: Mobile cloud for assistive healthcare (MoCAsH). In: Proceedings - 2010 IEEE Asia-Pacific Services Computing Conference, APSCC 2010, pp. 325–332 (2010)
Hofmann, S.G., Asnaani, A., Vonk, I.J.J., Sawyer, A.T., Fang, A.: The efficacy of cognitive behavioral therapy: a review of meta-analyses. Cogn. Ther. Res. 36(5), 427–440 (2012)
Bauman, A., Hebden, L., Balestracci, K., McGeechan, K., Denney-Wilson, E., Harris, M., Allman-Farinelli, M.: ‘TXT2BFiT’ a mobile phone-based healthy lifestyle program forpreventing unhealthy weight gain in young adults: study protocol for arandomized controlled trial. Trials J. 14, 75 (2013)
Charity Majors. AWS case study: Parse. http://aws.amazon.com/solutions/case-studies/parse/. Accessed 24 Dec 2015
McLeod, S.A.: Likert scale - simply psychology (2008). http://www.simplypsychology.org/likert-scale.html. Accessed 24 Dec 2015
Parameswari, R., Prabakaran, N.: An enhanced Mobile HealthCare Monitoring System in mobile cloud computing. Int. J. Adv. 1(10), 804–807 (2012)
Prasad, M.R., Gyani, J., Murti, P.R.K.: Mobile cloud computing: implications and challenges. J. Inf. Eng. Appl. 2(7), 7–16 (2012)
Rahimi, M.R., Ren, J., Liu, C.H., Vasilakos, A.V., Venkatasubramanian, N.: Mobile cloud computing: a survey, state of art and future directions. Mob. Netw. Appl. 19, 1–11 (2013)
Ajuriaguerra, J.: Manual de Psiquiatria Infantil, 5th edn. Toray-Masson, Barcelona (1976)
Varia, J.: Architecting for the cloud: best practices. Compute 1, 1–23 (2010)
World-Health-Organization. Mental health: a state of well-being (2014)
Youssef, A.E.: A framework for secure healthcare systems based on big data analytics in mobile cloud computing environments. Int. J. Ambient Syst. Appl. 2(2), 1–11 (2014)
Acknowledgments
This work was funded by Universidad Antonio Nariño through the project 20131088 “Desarrollo de herramientas diagnósticas basadas en anńalisis de neuroimágenes para la identificación de pacientes con enfermedades neuropsiquiátricas”. This work was partially funded by BIGDATA SOLUTIONS SAS.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2016 Springer International Publishing Switzerland
About this paper
Cite this paper
Pusey, S.S., Camargo, J.E., Díaz, G.M. (2016). Mobile Cloud Computing as an Alternative for Monitoring Child Mental Disorders. In: Zheng, X., Zeng, D., Chen, H., Leischow, S. (eds) Smart Health. ICSH 2015. Lecture Notes in Computer Science(), vol 9545. Springer, Cham. https://doi.org/10.1007/978-3-319-29175-8_4
Download citation
DOI: https://doi.org/10.1007/978-3-319-29175-8_4
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-29174-1
Online ISBN: 978-3-319-29175-8
eBook Packages: Computer ScienceComputer Science (R0)