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Smart Assistive mHealth System for Medication Adherence in Patients with Alzheimer‟s Disease

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)
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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