Alzheimer’s Disease is a degenerative neurological disease that progresses slowly and gradually. Currently incurable, and those who suffer from it deprive themselves, compared to ordinary people, of the freedom to move outside their homes. This paper aims to design and build an Internet of things prototype to locate an Alzheimer’s patient in real time in order to improve his quality of life and facilitate the task of their caregivers. The prototype is a lightweight dorsal belt carried by the patient and equipped with a NodeMCU ESP8266 board, a GPS module, and a small portable WiFi modem/router. The location of the patient is from an Android/iOS mobile application, and also from a web application. This work also allows to trace the path of the patient and to estimate his position at any time by using the Kalman Filter especially when the patient moves outside. Many tests are discussed to demonstrate the performance and the effectiveness of the proposed prototype.

阿尔茨海默氏病是一种退化性神经系统疾病，其进展缓慢且逐渐。当前无法治愈，与普通人相比，患有这种疾病的人剥夺了搬出家园的自由。本文旨在设计和构建一个物联网原型，以实时定位阿尔茨海默氏症患者，以改善其生活质量并促进其护理人员的工作。原型是由患者携带的轻型背带，配备有NodeMCU ESP8266板，GPS模块和小型便携式WiFi调制解调器/路由器。患者的位置来自Android / iOS移动应用程序，也来自Web应用程序。这项工作还允许追踪患者的路径并随时使用卡尔曼滤波器来估计他的位置，尤其是当患者移至外面时。讨论了许多测试，以证明所提出原型的性能和有效性。