Abstract
Many medical errors occur because people are in charge of patients or elderly medications by handling large amounts of medications every day. This work consists of designing and establishing a pillbox prototype intended to address this shortcoming in medical areas. It can be used separately from the medication itself and other advanced features provided with this device by the hospital or retirement home. This medication pack aims to take most medications or vitamin supplements or stimulants that deal with over-salting or over-the-counter patients. The proposed smart pillbox contains a program that enables medical caregivers or clients to determine the pill size and timing of pills and service routine each day. In this research work, the Augmented Data Recognition (ADR) algorithm is also used to monitor humans' health conditions. Initially, the UCI dataset is used for training and validation of the proposed ADR algorithm. The heart rate, blood pressure and temperature of the patient have carried during the testing phase via the Internet of Things (IoT) setup. The testing phase estimates any abnormalities in the health status based on the information obtained by the sensor collected by the population structure. Statistical analysis is based on data obtained from a cumulative cloud from IoT devices to estimate percentage accuracy.
Highlights
Many medical errors occur because individuals are in the care of the patient or the elderly are dealing in large quantities of pills every day
The proposed Smart Health Monitoring system is in patients taking medications or vitamin supplements or caregivers who are more salty or targeted patients [4]
The processing stages are as per the following: medication pill remaining portion, an assortment of sensor esteems, storage of data in the cloud and the examination of the data stored in the cloud to check for anomalies in the health condition
Summary
Some important work in medical science has been done using IoT to monitor patient health. The proposed system includes an installed health monitoring device and an automated decision-making system to improve medication and decision-making. Both tools can communicate with each other by installing a device-verified handshake protocol personal area network. The proposed ADR health monitoring framework including sensors that can measure heart rate, blood pressure, internal heat level, anxiety, perspiring, and peripheral capillary oxygen saturation (SpO2). The error rate is derived from the flow rate difference between the different parameters
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