Predictive Alzheimer Disease Detection Model Using IOT Sensors: A Survey

Nilanjana Nilanjana, Dr. Ajay Shankar Singh
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引用次数: 2

Abstract

In recent years various new challenges are faced all over the world by healthcare Industry.Today healthcare sector not only suffers from over expenditure but also issues are increasing among aged population.Hence we discuss in this paper how IoT is helping to overcome challenges faced by aged population especially Alzheimer disease.In major cities Government is trying to cooperate citizens with good healthcare hence helping in achieving active ageing.Here it is presented all the technologies which is helping to achieve building a system integrated with various types of wearable and nonwearable sensors which will analyze the problem of porential Alzheimer conditions in Elderly citizens via personality analysis model which is built via IoT sensors data.The major objective is to compare the behaviorial analysis and porential cases of Alzheimer.Due to early diagnosis of Alzeimer symptoms in elderly using IoT technologies a better action plan can be adopted by healthcare services.Hence due to continous monitoring by IoT devices the system becomes cost effective also.
基于物联网传感器的阿尔茨海默病预测检测模型研究
近年来,医疗保健行业在世界范围内面临着各种新的挑战。今天,医疗保健部门不仅面临着支出超支的问题,而且老龄化人口的问题也在增加。因此,我们在本文中讨论了物联网如何帮助克服老年人口特别是阿尔茨海默病所面临的挑战。在主要城市,政府正努力为公民提供良好的保健服务,从而帮助实现积极老龄化。这里介绍了所有有助于建立一个集成各种可穿戴和不可穿戴传感器的系统的技术,该系统将通过物联网传感器数据构建的个性分析模型来分析老年公民潜在的阿尔茨海默病问题。主要目的是比较行为分析和阿尔茨海默病的潜在病例。由于使用物联网技术可以早期诊断老年人的阿尔茨海默病症状,因此医疗保健服务可以采取更好的行动计划。因此,由于物联网设备的持续监控,系统也变得具有成本效益。
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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