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Telemedicine Approach for Patient Monitoring System using IOT


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1 Department of ECE, Kumaraguru College of Technology, Coimbatore-641049, India
     

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Accessing the hospitals in emergency situations, from any rural area for providing appropriate medical assistance is the biggest challenge in saving the life of a patient. Also, the patients who have undergone surgery should be monitored on a 24*7 basis. The above problems can be solved with a help of Health monitoring system using IoT. The proposed system continuously monitors the diagnosis parameters such as heart beat, pressure, activeness and temperature using appropriate sensors like heartbeat sensor, pressure sensor, MEMS sensor and temperature sensor. The sensed medical information is collected and stored in the database of the server which is a Raspberry Pi device. The Raspberry Pi processes these data and displays the values on the web page. It also sends the alert messages to the Doctor, Care taker as well as the patients using the GSM module connected to the Raspberry Pi. This enables the review of reports and real-time video of the patient through patient monitoring system from a remote area thereby reducing the periodical visit.

Keywords

Raspberry Pi Processor, ECG Sensors, Pressure Sensors, Temperature Sensors, MEMS Sensors, IoT.
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  • Telemedicine Approach for Patient Monitoring System using IOT

Abstract Views: 199  |  PDF Views: 0

Authors

S. N. Shivappriya
Department of ECE, Kumaraguru College of Technology, Coimbatore-641049, India
R. Dhivyapraba
Department of ECE, Kumaraguru College of Technology, Coimbatore-641049, India
A. Kalaiselvi
Department of ECE, Kumaraguru College of Technology, Coimbatore-641049, India
M. Alagumeenakshi
Department of ECE, Kumaraguru College of Technology, Coimbatore-641049, India

Abstract


Accessing the hospitals in emergency situations, from any rural area for providing appropriate medical assistance is the biggest challenge in saving the life of a patient. Also, the patients who have undergone surgery should be monitored on a 24*7 basis. The above problems can be solved with a help of Health monitoring system using IoT. The proposed system continuously monitors the diagnosis parameters such as heart beat, pressure, activeness and temperature using appropriate sensors like heartbeat sensor, pressure sensor, MEMS sensor and temperature sensor. The sensed medical information is collected and stored in the database of the server which is a Raspberry Pi device. The Raspberry Pi processes these data and displays the values on the web page. It also sends the alert messages to the Doctor, Care taker as well as the patients using the GSM module connected to the Raspberry Pi. This enables the review of reports and real-time video of the patient through patient monitoring system from a remote area thereby reducing the periodical visit.

Keywords


Raspberry Pi Processor, ECG Sensors, Pressure Sensors, Temperature Sensors, MEMS Sensors, IoT.

References