Abstract
Quality of life is reducing due to numerous reasons such as poor eating habits, tobacco consumption, sedentary lifestyle and stress which all taken together to lead to several and sometimes serious health problems. The scenario becomes worse in rural areas due to the limited availability of clinical facilities. Here, people have to visit hospitals, specialist doctors in cities for proper treatment and this results in waste of time, money and resources. To mitigate such problems, wearable sensors based remote patient monitoring system using IoT and data analytics has been proposed. The proposed system is specifically aimed for cardiovascular diseases and can be used to monitor the health condition of a patient even when he is at home, on the farm or any other place. The system also incorporates data analytics for the monitoring of the historical and current status of the patient’s health. The system is implemented using low-cost and compact components such as Arduino Nano, ESP8266, MAX30100, DSB1820 etc.
Highlights
Every year the number of deaths due to cardiovascular diseases are increasing (Benjamin et al 2018)
The patient who suffers from such a disease may need to go to a hospital for a checkup with a frequency that depends on his health state. This results in wastage of money, time and resources and the picture is worse in rural areas where people may have to travel far distances
We have considered four health parameters which are basic and important parameters for cardiovascular diseases (Liu 2010)
Summary
Every year the number of deaths due to cardiovascular diseases are increasing (Benjamin et al 2018). Their major contribution was to study the network communication requirements of an IoT- based remote health monitoring application and to propose an architecture for evaluating and comparing several network communication protocols. Mohammed et al (2014) developed an Wearable Sensors Based Remote Patient Monitoring using IoT and Data Analytics Jatin Arora, Patrick Meumeu Yomsi 3) perform data analytics in order to compare the patient health parameters and make a decision if required.
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