Wearable Non-invasive Health Monitoring Device for Elderly using IOT

Abstract

Patients and old age people suffering from Chronic, systemic diseases like heart diseases, asthma diseases, Alzheimer and dementia, Kidney diseases etc. needs regular health monitoring and extra care during any emergency. During the world of pandemic, those people suffered a lot and needed more attention from expert/specialists. Due to the difficulty in consulting the expert specialists in person, wearable technology plays an important role, which evolved for ease of use and advancements for monitoring patient’s health status. So, a wearable health monitoring system using IOT is proposed to monitor the regular health parameters periodically. The proposed system is a single integrated device consists of sensors for measuring vital physical parameters like pulse rate, respiratory rate, and temperature. Those data and initial predictions are sent via IOT cloud platform and expert opinions are received for further action as remote monitoring. If any critical changes are found, the same has been transmitted to doctor end and closest people of contact. If temperature changes are found below or above the standard value about 97 to 99 F, along with any respiratory difficulties with abnormal values are brought immediately to the notice of the specialist, due to the recent treats in covid. The sensor values are monitored time to time and connected to Arduino with GSM module for alert message. The proposed patient health monitoring system based on IOT helps the doctors and family members to keep track of the patient’s health. The covid pandemic period also made us realize to monitor even normal healthy person, which is the need of the hour. Also, the unit is wearable, small in the form of belt/collar, light weight and cheap. The aim of the study is fulfilled, to prognosticate the possibility of unidentified or untreated health effects and monitor the patient health.

Smart Health Monitoring System with Wireless Networks to Detect Kidney Diseases

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Wearable Biosensor: How to Improve the Efficacy in Data Transmission in Respiratory Monitoring

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