An IoT based patient monitoring system using raspberry Pi

In the recent development of, Internet of Things (IoT) makes all objects interconnected and it has been recognized as the next technical revolution. Some of the applications of Internet of Things are smart parking, smart home, smart city, smart environment, industrial places, agriculture fields and health monitoring process. One such application is in healthcare to monitor the patient health status Internet of Things makes medical equipments more efficient by allowing real time monitoring of patient health, in which sensor acquire data of patient's and reduces the human error. In Internet of Things patient's parameters get transmitted through medical devices via a gateway, where it is stored and analyzed. The significant challenges in the implementation of Internet of Things for healthcare applications is monitoring all patient's from various places. Thus Internet o Things in the medical field brings out the solution for effective patient monitoring at reduced cost and also reduces the trade-off between patient outcome and disease management. In this paper discuss about, monitoring patient's body temperature, respiration rate, heart beat and body movement using Raspberry Pi board.

[1]  Rajarshi Gupta,et al.  Short range centralized cardiac health monitoring system based on ZigBee communication , 2014, 2014 IEEE Global Humanitarian Technology Conference - South Asia Satellite (GHTC-SAS).

[2]  Dieter Hayn,et al.  The Internet of Things for Ambient Assisted Living , 2010, 2010 Seventh International Conference on Information Technology: New Generations.

[3]  Chung-Horng Lung,et al.  Internet of Things: Remote Patient Monitoring Using Web Services and Cloud Computing , 2014, 2014 IEEE International Conference on Internet of Things(iThings), and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom).

[4]  Subhas Chandra Mukhopadhyay,et al.  Wearable Sensors for Human Activity Monitoring: A Review , 2015, IEEE Sensors Journal.

[5]  Qusay H. Mahmoud,et al.  A smart system connecting e-health sensors and the cloud , 2015, 2015 IEEE 28th Canadian Conference on Electrical and Computer Engineering (CCECE).

[6]  H. Ewald,et al.  A Zigbee-Based Wearable Physiological Parameters Monitoring System , 2012, IEEE Sensors Journal.

[7]  R. S. H. Istepanian,et al.  The potential of Internet of m-health Things “m-IoT” for non-invasive glucose level sensing , 2011, 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[8]  R. S. Venkatesan,et al.  A design approach to smart health monitoring using android mobile devices , 2014, 2014 IEEE International Conference on Advanced Communications, Control and Computing Technologies.

[9]  John A. Stankovic,et al.  Research Directions for the Internet of Things , 2014, IEEE Internet of Things Journal.

[10]  Sneha A. Dalvi,et al.  Internet of Things for Smart Cities , 2017 .

[11]  Hasmah Mansor,et al.  Body temperature measurement for remote health monitoring system , 2013, 2013 IEEE International Conference on Smart Instrumentation, Measurement and Applications (ICSIMA).

[12]  Bo Hu,et al.  A Vision of IoT: Applications, Challenges, and Opportunities With China Perspective , 2014, IEEE Internet of Things Journal.

[13]  N. P. Jain,et al.  An embedded, GSM based, multiparameter, realtime patient monitoring system and control — An implementation for ICU patients , 2012, 2012 World Congress on Information and Communication Technologies.

[14]  Rajeev Piyare,et al.  Internet of Things: Ubiquitous Home Control and Monitoring System using Android based Smart Phone , 2013, IOT 2013.