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

Abstract

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. © 2022 IEEE.