IOT Based Remote Patient Monitoring System

IOT Based Remote Patient Monitoring System

Volume 12 Issue IV Apr 2024 | Prof. Y. A. Thakare, Anuj J Wadurkar, Ritika R Bobade, Gauri G Gurjar, Vaishnavi R Ninghot, Ayushi C Waseker
The article presents a novel remote patient monitoring system based on a wearable wireless sensor network, designed to track various physiological indicators such as body temperature, heart rate, blood oxygen levels, galvanic skin response, and body posture. The system uses accelerometers, pulse oximeters, heart-rate sensors, temperature sensors, and galvanic skin response sensors to monitor these parameters. The sensor nodes are wireless and can be easily attached to the human body, allowing for natural movement and providing a portable, quick, and reliable monitoring solution. The system communicates with a central coordinator via Wi-Fi, which acts as a router for internet communication between the sensor nodes and end devices, such as computers or mobile phones. The data is then transmitted to an IoT platform (Thinger.io) for real-time monitoring and analysis. The article also discusses the hardware components, software development, and potential applications in medical science, sports science, and military contexts. The system's modular design allows for easy integration of additional sensors to monitor different health parameters.The article presents a novel remote patient monitoring system based on a wearable wireless sensor network, designed to track various physiological indicators such as body temperature, heart rate, blood oxygen levels, galvanic skin response, and body posture. The system uses accelerometers, pulse oximeters, heart-rate sensors, temperature sensors, and galvanic skin response sensors to monitor these parameters. The sensor nodes are wireless and can be easily attached to the human body, allowing for natural movement and providing a portable, quick, and reliable monitoring solution. The system communicates with a central coordinator via Wi-Fi, which acts as a router for internet communication between the sensor nodes and end devices, such as computers or mobile phones. The data is then transmitted to an IoT platform (Thinger.io) for real-time monitoring and analysis. The article also discusses the hardware components, software development, and potential applications in medical science, sports science, and military contexts. The system's modular design allows for easy integration of additional sensors to monitor different health parameters.
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