Smart and Effective Patient Health Tracking and Monitoring System


A. Mohamed Divan Masood1, Dr. S. K. Muthusundar2

1Research scholar, Information Technology, AMET University, Chennai.

2Department of Computer Science, Sri Muthukumaran Institute of Technology Chennai.

*Corresponding Author E-mail:



Monitoring and tracking patient health system is very difficult task in modern world life environment. Monitoring and tracking the patient health information patient at home is very difficult to implement. Especially the old age patient need to periodically monitor loved once from time to time while at work. IoT devices are useful in makes the patient’s life cycle more comfortable. These IOT devices are used to monitor and tracking body temperature, plus rate etc to the user wearable IOT device, which are used to finding the health information of the users. Our technique gives to forward a smart patient health tracking system that uses Sensors to track patient health information and via internet transmits their relative or loved once in case of any problem for health or body.


KEYWORDS: IOT, Sensor, Healthcare and Network.




Among all the organization no place does the IOT gives more guarantee than in the field of healthcare industries. Since a saying goes "Health is wealth" it is remarkably problem solving to make operation of the new things for better human being life cycle. Regularly it is welcome to add to an IOT environments which give secure health testing1-2.


Tao et al, gives to wearable Device methods to monitor the User heath information. The system is calculate the heath checking and the illness is less than 7% with the tray of minimizing the burden rate of the imprison         data3-4.



Those risks include possible harm to the patient's safety and health, loss of PHI and unauthorized access to devices. The number of wearable devices and the remarkable amount of data they collect can be a face for hospital R&D to manage5.  This proposed system used to transmit the data into user and heath care Analyzing women empowerment in working conditions: A study on women employees6.



The Proposed PHMS contains three phases; they are collection, transmission and utilization phase. Body Area Network is getting the patient required health data for example BP level, temperature Heartbeat level and so on Controllability of impulsive neutral functional integrodifferential inclusions with an infinite delay7. These kinds of health related data is used to calculate the patient disease and health condition. All the IOT devices are connected to the BAN network. The IOT devices are used to the first level of collecting phase.  The data together in the collection phase is transmitting to the doctor to evaluate the health information for diagnosis.



Fig: Architecture of Proposed system


This proposed Architecture uses to doctor and patient are used to user interface view based on authorized access.  Patient can view the heath data into mobile view. In case the patient body condition is critical the data will be transmit both heath care and patient mobile alerts. The mobile App is access by doctors through their ID and password.



This Proposed method takes data from IOT devices for every time interval. Each update patient health information is transmitting to the server then the data can be view authorized user only. The data collection evaluate by the application showed the updated data correctly.


Table: Sample patient health results

Patient ID



Day 1

Day 2




























This proposed system; it is finding that IOT is significant element of healthcare System. In this proposed system an IOT based Patient healthcare monitoring and tracking system is obtainable, which is able to incessantly monitor the patient’s heart beat, BP and other critical health information in the hospital. The system can be featured by adding more benefited to the mobile application like Connecting the ambulance, more doctor's and their Research Department, Healthcare and their facilities etc.,



1.       Eleonora Borgia et al, “Internet of Thigs: Key features, its application”, Computer Communication, Vol.54, pp.131, 2014.

2.       Tao Liu, et al, “Development of a wearable Device system for quantitative gait analysis”, Measurement Vol.42, pp.978–988, 2009.

3.       Stefano Abbate, et al, “A Android based fall detection system”, Pervasive and Mobile Computing Vol. 8, pp.883–899, 2012.

4.       M. Brian Blake, “An IOT for Healthcare”, IEEE Internet Computing, pp.4-6, 2015.

5.       Jieran Shi, et al, “Examination on intelligent control of the hospital infection -the intelligent remind and administration of hand hygiene based on the technologies of internet of things”, Journal of Translational Medicine, Vol.10., No.2,pp.55, 2012.

6.       Thiruvasagam, G., Rajasekar, D., 2016. Analyzing women empowerment in working conditions: A study on women employees: (With special reference to Public Sector Banks). International Journal of Applied Business and Economic Research, 14(14), pp. 1147-1161.

7.       Manimaran, S., Gunasekar, T., and Subramaniyan, G. V. (2014). Controllability of impulsive neutral functional integrodifferential inclusions with an infinite delay. Global Journal of Pure and Applied Mathematics, 10(6), 817-834.





Received on 08.08.2017                              Modified on 17.08.2017

Accepted on 22.09.2017                           © RJPT All right reserved

Research J. Pharm. and Tech 2017; 10(12): 4389-4390.

DOI: 10.5958/0974-360X.2017.00807.1