低成本物联网测试平台系统在阿尔茨海默病早期诊断中的应用

计算机工程与设计 Pub Date : 2022-09-23 DOI:10.1109/SEEDA-CECNSM57760.2022.9932974

K. Kalovrektis, Apostolos Xenakis, Dimitra Sofianou, Gavriil Simatos, Georgios Papadopoulos, G. Stamoulis

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引用次数: 1

摘要

本文提出了一种低成本的新型机械系统，用于早期诊断阿尔茨海默病(AD)。从本质上讲，我们的设备测量的是患者决定服药之间的时间差。更详细地说，该系统会计算患者应该服药的重要时限之间的时间差。该设备可以作为预警工具，主动诊断并采取医疗措施，因为它可以计算患者行为的时差模式。为此，本文提出了一个系统测试平台，通过它可以跟踪病人的行为，并向治疗医生发出警告。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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A Low Cost IoT TestBed System for Alzheimer’s Early Stages Diagnosis in Health 4.0 Application

This paper presents a low cost and novel mechanical system to estimate patients’ Alzheimer’s disease (AD) early stage. In essence our device measures the time variance between the patient’s decisions to take his/her medicine. In more detail, the system calculates the time difference between significant time limits, where the patient is supposed to take the pills. This device may work as a warning tool to proactively diagnose and take medical actions, as it calculates patterns within the time difference in the patients’ behavior. To this end, this paper, presents the system testbed, with which we keep track of a patient behavior and warn the treating doctor.

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来源期刊

计算机工程与设计

自引率

0.00%

发文量

20353

期刊介绍： Computer Engineering and Design is supervised by China Aerospace Science and Industry Corporation and sponsored by the 706th Institute of the Second Academy of China Aerospace Science and Industry Corporation. It was founded in 1980. The purpose of the journal is to disseminate new technologies and promote academic exchanges. Since its inception, it has adhered to the principle of combining depth and breadth, theory and application, and focused on reporting cutting-edge and hot computer technologies. The journal accepts academic papers with innovative and independent academic insights, including papers on fund projects, award-winning research papers, outstanding papers at academic conferences, doctoral and master's theses, etc.