Takpor, Temitope and Ademola, Jimmy and Popoola, Segun I. and Badejo, J. A. and Atayero, A. A. (2017) Smart Assistive mHealth System for Medication Adherence in Patients with Alzheimer‟s Disease. In: World Congress on Engineering 2017 , July 5-7, 2017, London, U.K..
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Abstract
Cognitive impairment in patients with mild Alzheimer’s disease often times require medication management to prevent forgetfulness due to the diversity of medication involved in the treatment. Traditional interventions to mitigate non-adherence to medication have been largely unsuccessful. However, the programmability and intelligibility of modern electronic systems and Information and Communication Technology (ICT) can be exploited to solve this problem. In this paper, we designed and developed an intelligent assistive mHealth system to facilitate medication adherence in elderly patients with Alzheimer’s disease. This system achieve medication adherence by creating an audiovisual alert for the user with ‘memory loss’ disability to take the right doses of medication at required frequency. The drug prescriptions are keyed in by the physician and the medication schedule is stored in the non-volatile memory of the system. At the set time, the Liquid Crystal Display (LCD) unit shows the drug to be taken in the right dosage. The buzzer in the electronic device provides a sound effect to get the attention of the patient. In any case of non-adherence, the system automatically sends a text message to the physician via SMS using the integrated GSM modem and Subscriber Identity Module (SIM) in the system. This system can be miniaturized into a wearable device for optimal performance
Item Type: | Conference or Workshop Item (Paper) |
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Uncontrolled Keywords: | medication adherence, mobile health, Alzheimer’s disease, assistive technology, patients |
Subjects: | R Medicine > R Medicine (General) T Technology > TK Electrical engineering. Electronics Nuclear engineering |
Divisions: | Faculty of Engineering, Science and Mathematics > School of Electronics and Computer Science Faculty of Engineering, Science and Mathematics > School of Engineering Sciences |
Depositing User: | Mrs Patricia Nwokealisi |
Date Deposited: | 16 Aug 2017 13:12 |
Last Modified: | 16 Aug 2017 13:12 |
URI: | http://eprints.covenantuniversity.edu.ng/id/eprint/8677 |
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