CFP last date
22 April 2024
Reseach Article

Smart Real-Time Healthcare Monitoring and Tracking System using GSM/GPS Technologies

by Saed Tarapiah, Kahtan Aziz, Shadi Atalla, Salah Haj Ismail
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 142 - Number 14
Year of Publication: 2016
Authors: Saed Tarapiah, Kahtan Aziz, Shadi Atalla, Salah Haj Ismail
10.5120/ijca2016909882

Saed Tarapiah, Kahtan Aziz, Shadi Atalla, Salah Haj Ismail . Smart Real-Time Healthcare Monitoring and Tracking System using GSM/GPS Technologies. International Journal of Computer Applications. 142, 14 ( May 2016), 19-26. DOI=10.5120/ijca2016909882

@article{ 10.5120/ijca2016909882,
author = { Saed Tarapiah, Kahtan Aziz, Shadi Atalla, Salah Haj Ismail },
title = { Smart Real-Time Healthcare Monitoring and Tracking System using GSM/GPS Technologies },
journal = { International Journal of Computer Applications },
issue_date = { May 2016 },
volume = { 142 },
number = { 14 },
month = { May },
year = { 2016 },
issn = { 0975-8887 },
pages = { 19-26 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume142/number14/24965-2016909882/ },
doi = { 10.5120/ijca2016909882 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:45:03.691142+05:30
%A Saed Tarapiah
%A Kahtan Aziz
%A Shadi Atalla
%A Salah Haj Ismail
%T Smart Real-Time Healthcare Monitoring and Tracking System using GSM/GPS Technologies
%J International Journal of Computer Applications
%@ 0975-8887
%V 142
%N 14
%P 19-26
%D 2016
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Recently, remote monitoring systems have evolved to respond for particular needs in healthcare sector, which is an essential pillar in the modern concept of smart city, we propose a smart system to monitor patient current health conditions, as a smart healthcare system based on the widely spread available technologies; namely, GSM and GPS. Statistics shows that hypertensive heart disease and blood pressure are risk factors for high death rate to decrease it a preventive measures should be applied providing a real-time health monitoring system, to save patients life at acceptable time. The objectives of this paper is to provide an effective system model, that will track, trace, and monitor patient vital readings in order to provide efficient medical services in time. By using sensors, the data will be captured and compared with a predefined threshold. The study focuses on heartbeat rate, and body temperature, thus in case of emergency an SMS will be sent to the Doctors mobile containing measured values and position. Moreover, the paper demonstrates the possibility of building a complete end-to-end smart healthcare monitoring system by using wide range of available sensors for more vital human health parameters to connect patient with doctors in cases of emergency.

References
  1. 4project. Pulse sensor. https://www.4project.co. il/product/pulse-sensor, 2015. [Online; accessed 29/11/2015].
  2. Angel. Lumo run - revolutionary smart running shorts. http://www.lumobodytech.com/, 2015. [Online; accessed 29/11/2015].
  3. K. Aziz, S. Tarapiah, S. H. Ismail, and S. Atalla. Smart real-time healthcare monitoring and tracking system using gsm/gps technologies. In 2016 3rd MEC International Conference on Big Data and Smart City (ICBDSC), pages 1–7, March 2016.
  4. Kahtan Aziz, Saed Tarapiah, Mohanad Alsaedi, Salah Haj Ismail, and Shadi Atalla. Wireless sensor networks for road traffic monitoring. International Journal of Advanced Computer Science & Applications, 1(6):265–270, 2015.
  5. Behance. Lifeline on behance. http://www.behance.net/ Gallery/LifeLinea/321119, 2015. [Online; accessed 29/11/2015].
  6. dash.co.il. Lilypad temperature sensor. http://goo.gl/ xnglsv, 2015. [Online; accessed 29/11/2015].
  7. Dfrobot. Gps/gprs/gsm module v2.0 (sku:tel0051) - robot wiki. http://goo.gl/r5Dm6u, 2015. [Online; accessed 29/11/2015].
  8. Wayne W Eckerson. Three tier client/server architectures: achieving scalability, performance, and efficiency in client/server applications. Open Information Systems, 3(20):46–50, 1995.
  9. WB Kannel and J Cobb. Left ventricular hypertrophy and mortality–results from the framingham study. Cardiology, 81(4-5):291–298, 1992.
  10. Patricia M Kearney, Megan Whelton, Kristi Reynolds, Paul Muntner, Paul K Whelton, and Jiang He. Global burden of hypertension: analysis of worldwide data. The lancet, 365(9455):217–223, 2005.
  11. Stephen S Lim, Theo Vos, Abraham D Flaxman, Goodarz Danaei, Kenji Shibuya, Heather Adair-Rohani, Mohammad A AlMazroa, Markus Amann, H Ross Anderson, Kathryn G Andrews, et al. A comparative risk assessment of burden of disease and injury attributable to 67 risk factors and risk factor clusters in 21 regions, 1990–2010: a systematic analysis for the global burden of disease study 2010. The lancet, 380(9859):2224–2260, 2013.
  12. Alan D Lopez and CC Murray. The global burden of disease. Nat Med, 4(11):1241–1243, 1998.
  13. National High Blood Pressure Education Program et al. The seventh report of the joint national committee on prevention, detection, evaluation, and treatment of high blood pressure. National Heart, Lung, and Blood Institute (US), 2004.
  14. Sarwant Singh. Smart cities – a $1.5 trillion market opportunity. http://www.forbes. com/sites/sarwantsingh/2014/06/19/ smart-cities-a-1-5-trillion-market-opportunity/, 2015. [Online; accessed 29/11/2015].
  15. Mikhail St-Denis. Lifeline. http://www. mikhailstdenis.com/projects/personal_LifeLine. html, 2015. [Online; accessed 29/11/2015].
  16. John S Steinhart and Stanley R Hart. Calibration curves for thermistors. In Deep Sea Research and Oceanographic Abstracts, volume 15, pages 497–503. Elsevier, 1968.
  17. Saed Tarapiah, Rajaa AbuHania, and Diana Jamal Islam Hindi. Applying web based gps/gprs ticketing and tracking mechanism to reduce traffic violation in developing countries. In The International Conference on Digital Information Processing, E-Business and Cloud Computing (DIPECC2013), pages 102–106. The Society of Digital Information and Wireless Communication, 2013.
  18. Saed Tarapiah and Shadi Atalla. Public transportation management system based on gps/wifi and open street maps. Editorial Preface, 6(1), 2015.
  19. Saed Tarapiah, Shadi Atalla, and Rajaa AbuHania. Smart onboard transportation management system using gps/gsm/gprs technologies to reduce traffic violation in developing countries. International Journal of Digital Information and Wireless Communications (IJDIWC), 3(4):430–439, 2013.
  20. Saed Tarapiah, Shadi Atalla, and B Alsayid. Smart on-board transportation management system geo-casting featured. In Computer Applications and Information Systems (WCCAIS), 2014 World Congress on, pages 1–6. IEEE, 2014.
  21. Saed Tarapiah, Shadi Atalla, Nooraldin Muala, and Sundos Tarabeh. Offline public transportation management system based on gps/wifi and open street maps. In Computational Intelligence, Communication Systems and Networks (CICSyN), 2014 Sixth International Conference on, pages 182– 185. IEEE, 2014.
  22. Saed Tarapiah, Kahtan Aziz, and Shadi Atalla. Common radio resource management algorithms in heterogeneous wireless networks with kpi analysis. International Journal of Advanced Computer Science & Applications, 1(6):53–58, 2015.
  23. Saed Tarapiah, Kahtan Aziz, and Shadi Atalla. Radio resource management in heterogeneous networks, functional models and implementation requirements. International Journal of Computer Applications, 127(16):1–4, 2015.
  24. Thepu. how mobile is making us healthier. http://thepu.sh/trends/ take-two-wearables-and-call-me-in-the-morning-how-mobile-is-making-us-healthier/, 2015. [Online; accessed 29/11/2015].
  25. Arduino Uno. Arduino - arduinoboarduno. https://www. arduino.cc/en/Main/ArduinoBoardUno, 2015. [Online; accessed 29/11/2015].
Index Terms

Computer Science
Information Sciences

Keywords

Smart Healthcare Sensors Smart City Embedded Systems Monitoring.