Abstract
Alzheimer’s is a neurological disease, which slowly diminishes the cognitive functions of those who suffer from it, leaving them unable to fully care for themselves. In this project we aim at providing an automated, non-intrusive, and effective solution for patients diagnosed with early-stage Alzheimer’s as well as ease of mind to their caregiver. Through this assistive platform, time and vicinity based pre-recorded instructions by the caregiver on how to employ certain home appliances are played out upon detection of the patient’s presence in the vicinity of the appliances. A log of the time and the kind of patient’s activity is reported back to the caregiver for their reference. In addition, the system will be used to monitor and track the location of the patient which can be used by the caregiver for assessment purposes. Upon completion, this project will significantly reduce the cost associated with assisted living, as it will replace numerous expensive devices on the market and drastically improve the quality of life for both the caregivers and the patients suffering from Dementia internationally.
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References
World Alzheimer’s Report 2015. Alzheimer’s Disease International (2015)
Helal, A., King, J., Elzabadani, H., Kaddourah, Y.: Assistive environments for successful aging. In: Kameas, A., Callagan, V., Hagras, H., Weber, M., Minker, W. (eds.) Advanced Intelligent Environments, pp. 1–26. Springer, Heidelberg (2009)
Doukas, C., Maglogiannis, I.: Intelligent pervasive healthcare systems. In: Sordo, M., Vaidya, S., Jain, L.C. (eds.) Advanced Computational Intelligence Paradigms in Healthcare, pp. 95–115. Springer, Heidelberg (2008)
Mahagan, M., Morin, S., Scorpio, E., Valek, C., Har-rington, M.: Student project targets memory impairment | news @ Northeastern. http://www.northeastern.edu/news/2014/05/mag-capstone/
Cheng, H., Zhuang, W.: Bluetooth-enabled in-home patient monitoring system: early detection of Alzheimer’s disease. IEEE Wirel. Commun. 17, 74–79 (2010)
Giraldo, C., Mann, W., Helal, A.: mPCA – a mobile patient care-giving assistant for Alzheimer patients. In: First International Workshop on Ubiquitous Computing for Cognitive Aids (UbiCog 2002), Göteborg, Sweden (2002)
Electronic Tracking. Alzheimer’s Association (2015)
Respect for Autonomy. Alzheimer’s Association (2015)
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Zellefrow, B., Shanaei, S., Salam, R., Nasan, A.E., Elzabadani, H. (2017). Halcyon – Assistive Technology for Alzheimer’s Patients. In: Rocha, Á., Correia, A., Adeli, H., Reis, L., Costanzo, S. (eds) Recent Advances in Information Systems and Technologies. WorldCIST 2017. Advances in Intelligent Systems and Computing, vol 570. Springer, Cham. https://doi.org/10.1007/978-3-319-56538-5_38
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DOI: https://doi.org/10.1007/978-3-319-56538-5_38
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