Key result
An IoT-based health monitoring system using Raspberry Pi 3 and various sensors was developed to allow remote, real-time monitoring of patient vital signs by healthcare providers.
Why the study?
The study aims to provide better treatment by regular monitoring to increase the standard of diagnosis and provide accurate care to patients.
An IoT-based health monitoring system using Raspberry Pi can enable remote, real-time tracking of patient vital signs to improve diagnosis and care.
May enable remote vital signs monitoring; leaves open clinical efficacy and integration into cardiovascular care.
IoT based health monitoring describes the response and clarification of the data collected from the recipient through sensor from the sources like hospitals by IoT based technology. The reading which are collected by using the appropriate sensor that would help the doctor in alternative situation to observe the recipient's health. The values collected by the sensors from the recipients are equipped by the Raspberry Pi 3 model which are further transfer to the doctor's database so that they can communicate with their patients and their family members through internet application and smartphones. By using this idea any doctor can monitor and view reports of his patient from anywhere in the world without physical appearance. The database consists of heart rate, blood pressure and pulse rate of any particular patient in an appropriate manner which can be easily understandable by the doctors. Further a camera can be installed in the Raspberry Pi for live monitoring which will be more efficient for some case and all the information are stored in the medical server as all the data are very sensitive for any research purpose. This medical data is accessible from anywhere in the world using internet and providing exact IP address. For any instance if the patient’s data is outstrips the normalized value it will turned an emergency alarm on for assistance. The main agenda is to provide a better treatment by regular monitoring, which will increase the standard of diagnosis and provide accurate care to the patient.
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Hazra et al. (2020) studied Health monitoring. IoT-based health monitoring system using Raspberry Pi 3 was evaluated. An IoT-based health monitoring system using Raspberry Pi 3 and various sensors was developed to allow remote, real-time monitoring of patient vital signs by healthcare providers.
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