IoT Supported Pill Dispenser for Patients with Dementia

Author:

Selek Mustafa Berkant1,Onder Alparslan2,Isler Yalcin3

Affiliation:

1. Ege University

2. Bogazici University

3. Izmir Katip Celebi University

Abstract

Dementia is one of the most common diseases in the world. The number of patients with dementia is increasing rapidly day by day. Patients with dementia are commonly older than 65 years, and they already use additional drugs for other diseases. It becomes a challenge for individuals in this age group to keep track of their drug timings themselves for dementia patients especially. This study aims to design a device that allows the following dosage and usage regularity of the pills for this purpose. There are five different slices for the pills. This device also has five distinct alarm hours to remind to take pills. When the clock hits a scheduled time, an alarm starts to beep, and an LED flashes to warn the patient. The user can take the pill by pressing the green button within two minutes after the alarm. In this case, servo motors connected pill sections to the "shelf" part of the device. By pulling the shelf, the patient can reach the pills. Otherwise, this device sends an e-mail to the preset e-mail address (and a short message to the phone number) of the person who is responsible for the patient.

Publisher

Islerya Medikal ve Bilisim Teknolojileri

Reference10 articles.

1. Wirno A, Gauthier S, Prince M. Global Estimates of Informal Care. Alzheimers Disease International, London, UK, 2018.

2. Gustafson, L. What is dementia? Neurologica 1996; 94(s168): 22-24.

3. Philips Lifeline. Philips Medication Dispenser. 2020, Retrieved from https://www.techenhancedlife.com/reviews/philips-lifeline-medication-dispenser

4. Ozbabalik D, Hussein S. Demans Bakım Modeli Raporu. Ministry of Family and Social Policies, Ankara, Turkey. Retrieved from https://www.aile.gov.tr/media/9332/demans-bak%C4%B1m-modeli-proje-kitab%C4%B1.pdf

5. United Nations, Department of Economic and Social Affairs, Population Division (2019). World Population Prospects 2019: Highlights (ST/ESA/SER.A/423).

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3