Abstract
An epileptic seizure can be defined as a disturbance of consciousness, motor function, sensation, emotion, and behavior. The seizures can affect almost all aspects of life, such as lifestyle, health, education, and employment. Without a proper tool, epilepsy patient and caregiver finds difficulty in managing and monitoring epilepsy. The caregivers’ lifestyle is also affected when the patient strongly dependent on them. By using current technology, which is a mobile phone, MyEpiPal application will be implemented to solve these problems. MyEpiPal will act as a self-management and monitoring tool that can support the epilepsy patient and the caregiver. This application also will enable them to monitor side-effects and effectiveness of antiepileptic medicine, predict the possibility of seizure attack, and improve the quality of life. A fully functional mobile application will be a supportive tool for monitoring and managing epilepsy patient.
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
References
Annegers, J.F., Coan, S.P.: SUDEP: overview of definition and review of incidence data, International League against Epilepsy Millennium Meeting, Birmingham, United Kingdom (1999)
Consensus Guidelines on the Management of Epilepsy 2010, Epilepsy Council, Malaysian Society of Neurosciences (2010)
Epilepsy fact sheet, World Health Organization (2015). http://www.who.int/mediacentre/factsheets/fs999/en/. Accessed 29 September 2015
Sherrini, B.A.: What do you know about epilepsy? 15 March 2015. http://www.thestar.com.my/Lifestyle/Health/2015/03/15/What-do-you-know-about-epilepsy/. Accessed 1 October 2015
Teohari, V.-M., Ungureanu, C., Bui, T.V., Arends, J.B.A.M., Aarts, R.M.: Epilepsy seizure detection app for wearable technologies. In: European Conference on Ambient Intelligence, Eindhoven, The Netherlands (2014)
Rangenathan, L.N., Chinnadurai, S.A., Samivel, B., Kesavamurthy, B., Mehndiratta, M.M.: Application of mobile phones in epilepsy care. Int. J. Epilepsy 2, 28–37 (2015)
Yang, J.: Toward physical activity diary: motion recognition using simple acceleration features with mobile phones. In: 1st International Workshop on Interactive Multimedia for Consumer Electronics, New York, USA (2009)
Ryan Burchfield, T., Venkatesan, S.: Accelerometer-based human abnormal movement detection in wireless sensor networks. In: 1st ACM SIGMOBILE International Workshop on Systems and Networking Support for Healthcare and Assisted Living Environment, New York, USA (2007)
Pigadas, V., Doukas, C., Plagianakos, V.P.: Enabling constant monitoring of chronic patient using android smart phones. In: 4th International Conference on Pervasive Technologies Related to Assistive Environments (2011). February 2016
Acknowledgments
We would like to show our gratitude to Universiti Sains Malaysia (USM) for supporting this research.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2017 Springer International Publishing AG
About this paper
Cite this paper
Marzuki, N.A., Husain, W., Shahiri, A.M. (2017). MyEpiPal: Mobile Application for Managing, Monitoring and Predicting Epilepsy Patient. In: Akagi, M., Nguyen, TT., Vu, DT., Phung, TN., Huynh, VN. (eds) Advances in Information and Communication Technology. ICTA 2016. Advances in Intelligent Systems and Computing, vol 538. Springer, Cham. https://doi.org/10.1007/978-3-319-49073-1_42
Download citation
DOI: https://doi.org/10.1007/978-3-319-49073-1_42
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-49072-4
Online ISBN: 978-3-319-49073-1
eBook Packages: EngineeringEngineering (R0)