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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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  • F. Hu, D. Xie, and S. Shen. On the application of the internet of things in the field of medical and health care. IEEE Int. Conf. on and IEEE Cyber, Physical and Social Computing Green Computing and Communications (Green Com), (I Things/CPS Com), 2013; 2053–2058.
  • M. M. Churpek, T. C. Yuen, M. T. Huber, S. Y. Park, J. B. Hall, and D. P. Edelson. Predicting cardiac arrest on the wards in-hospital cardiac arrest prediction a nested case-control study. CHEST Journal, 2012; 141(5):1170–1176.
  • Istvan Bosznai, Ferenc Ender, etc., Web server based remote health monitoring system. Conference Paper June 2009. DOI:0.1109/ISSE.2009.5206985 Source: IEEE Xplore Conference: Electronics Technology, 2009. ISSE 2009. 32nd International Spring Seminar.
  • N. Bui and M. Zorzi, Health care applications: A solution based on the internet of things. Proc. of the 4th Int. Symposium on Applied Sciences in Biomed. and Com. Tech., ser. ISABEL ’11. New York, NY, USA: ACM. 2011; 131:1–131:5.
  • B. Woodward, R. S. H. Istepanian and C. I. Richards, Design of a Telemedicine System Using a Mobile Telephone, IEEE Transactions on Information Technology in Biomedicine, 2001: 5(1).
  • K. Hung, and Y.T. Zhang, Implementation of a WAP-Based Telemedicine System for Patient Monitoring, IEEE Transactions on Information Technology in Biomedicine. 2003; 7(3):101-107.
  • Warsuzarina Mat Jubadi, Siti Faridatul Aisyah Mohdahak, Heartbeat Monitoring Alert via SMS, 978-1-4244-4683-4/09 ©2009 IEEE.
  • Wang L, Yang G-Z, Huang J, Zhang J, Yu L, Nie Z, and Cumming, DRS: A wireless biomedical signal interface system-on-chip for body sensor networks. Biomedical Circuits and Systems, IEEE Transactions. 2010; 4: 112-117.
  • Amna Abdullah, Asma Ismael, Aisha Rashid, Ali Abou-ElNour, and Mohammed Tarique, Real-Time Wireless Health Monitoring Application Using Mobile Devices, International Journal of Computer Networks and Communications (IJCNC). 2015; 7(3).

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  • Telemedicine Approach for Patient Monitoring System using IOT

Abstract Views: 139  |  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