Read More.

Call for Paper - December – 2022 Edition   

(SJIF Impact Factor: 5.966) (IJIFACTOR 3.8, RANKING: A+) (PIF: 3.460)

IJATCA solicits original research papers for the December – 2022 Edition.
Last date of manuscript submission is December 30, 2022.


Labview based Electrocardiograph (ECG) Patient Monitoring System For Cardiovascular Patient Using WSNs: A Critical Review

Volume: 4 Issue: 4
Year of Publication: 2017
Authors: Vibhav Kumar Sachan, Vijay Srivastava, Krati Varshney, Syed Akhtar Imam


Wireless Sensor Network is suitable a significant allowing technology for a wide variety of applications. Recent advances in wireless sensor networks have allowed the realization of prevalent health monitoring for both homecare and hospital environments. Current technological advances in sensors, power-efficient integrated circuits, and wireless communication have allowed the development of miniature, lightweight, low-cost, and smart physiological sensor nodes. These nodes are capable of sensing, processing, and communicating one or more vital signs. Furthermore, they can be used in wireless personal area networks or wireless body sensor networks for health monitoring. Many studies were performed and/or are under way in order to develop flexible, reliable, secure, real-time, and power-efficient wireless body sensor networks suitable for healthcare applications. To efficiently control and monitor a patients status as well as to decrease the cost of power and maintenance, IEEE 802.15.4/ZigBee, a communication standard for low-power wireless communication, is developed as a new efficient technology in health monitoring systems. This paper describes the applications of wireless sensor networks in the healthcare area and discusses the related problems and challenges. The main goal of this review paper is to evaluate the acceptance of the current wireless standard for enabling wireless sensor networks for healthcare monitoring in real environment.


  1. Dr. Boo-Ho yang, Prof Haruhiko H. Asada ,Yi Zhang "Cuff-less continuous monitoring of beat-to-beat Blood pressure using a kalman filter and sensor" ,Fusion-first joint IEEE conference of bmes/embs,1999.

  2. Ilkka Korhonen,Lee Wang,Tong Boon,Li Cui,"Health monitoring in the home of the future" IEEE engineering in medicine and biology magazine, , pp-66-73, 2003.

  3. [ ... Manuals LabVIEW 2013 Biomedical Toolkit Help] & Ali Reza Vakilian1, Farhad Iranmanesh1, Ali Esmaeili Nadimi, and Jafar Ahmadi Kahnali, "Heart Rate Variability and QT Dispersion Study in Brain Death Patients and Comatose Patients with Normal Brainstem Function", Journal of the College of Physicians and Surgeons Pakistan., Vol.21,no.3,pp.130 133,2011.

  4. Biomedical User Group Forum; & D.C.Reddy, "Biomedical Signal Processing: Priniciples and Techniques", 2nd edition Tata McGraw-Hill, New Delhi, 2005.

  5. Diptyajit Das, Arnab Pal, Souvik Tewary, Shreyosi Chakraborty, Sauvik Das Gupta "A Smart and Wearable Cardiac Healthcare System with Monitoring of Sudden Fall for Elderly and Post-Operative Patients", IOSR Journal of Computer Engineering (IOSR-JCE) Volume 16, Issue 2, Ver. VIII (Mar-Apr. 2014), PP 126-133

  6. Jigar D. Shah, M. S. Panse, "EEG purging using LABVIEW based wavelet analysis", National Conference on Computational Instrumentation CSIO Chandigarh, INDIA, pp.19-20, March ,2010

  7. Using Lab VIEW for Heart Rate Variability Analysis http://www.


  9. Chien R., and Tai C., \"A New Wireless-Type Physiological Signal Measuring System Using a PDA and the Bluetooth Technology,\" IEEE International Conference on Industrial Technology, pp.119-120, Mumbai, Dec 2006.

  10. Fensli R., Gunnarson E., and Gundersen T., "A wearable ECG-recording system for continuous arrhythmia monitoring in a wireless tele-homecare situation," Proc.of the 18th IEEE Symposium on Computer-Based Medical Systems, pp. 407-412, Ireland, June 2005.

  11. Lee D.S., Lee Y.D., Chung W.Y., and Myllyla R., \"Vital Sign Monitoring System with Life Emergency Event Detection using Wireless Sensor Network,\" 5th IEEE Conference on Sensors, Daegu, South Korea, pp. 518-521, 2006.

  12. Mangharam, R., Rowe, A., Rajkumar, R., and Suzki, R., "Voice over sensor networks," In Proc. of the 27th IEEE Int. Real-Time Systems Symposium, Rio de Janeiro, Brazil, 2006.

  13. Monton E., Hernandez J. F., Blasco J. M., Herve T., Micallef J., Grech I, Brincat A, and Traver V, "Body area network for wireless patient monitoring," Telemed. EHealth Commun. Syst., vol. 2, issue 2, pp. 215-222, Feb. 2008.

  14. Omeni O., Eljamaly O., and Burdett A., \"Energy Efficient Medium Access Protocol for Wireless Medical Body Area Sensor Networks,\" Proc. IEEE-EMBS Symposium on Medical Devices and Biosensors, pp. 29-32, Cambridge, UK, Aug 2007.

  15. Oliver N., and Flores Msngas F., "HealthGear: A real-time wearable system for monitoring and analyzing physiological signals," Microsoft Res., Tech. Rep. MSRTR- 2005-182, Apr. 2006.

  16. Varshney U., "Pervasive healthcare and wireless health monitoring," Mobile Networks and Application, 12(2-3), pp.113-127, 2007.

  17. Wang B., et all., "A Body Sensor Networks Development Platform for Pervasive Healthcare," 3rd International Conference on Bioinformatics and Biomedical Engineering, Volume , Issue ,11-13, pp.1 - 4, Beijing, China, June 2009.

  18. Yan, C., and Chung, W.Y., "IEEE 802.15.4 Wireless Mobile Application for Healthcare system," International Confer-ence on Convergence Information Technology, ICCIT 2007, Article number 4420456, pp.1433-1438, Gyeongju, Korea, Nov. 2007.

  19. Heart Attack , accessed date: Jan 2010

  20. Gyselinckx B., Penders J., and Vullers R., "Potential and challenges of body area networks for cardiac monitoring," J. Electrocardiology, vol. 40, pp. S165-S168, Nov, 2007.

  21. Fensli R., Gunnarson E., and Gundersen T., "A wearable ECG-recording system for continuous arrhythmia monitoring in a wireless tele-homecare situation," Proc.of the 18th IEEE Symposium on Computer-Based Medical Systems, pp. 407-412, Ireland, June 2005.

  22. Choi, Jin Soo and Zhou, Mengchu, "Recent Advances in Wireless Sensor Networks for Health Monitoring," dec 2010


Cardiac arrhythmias, Electrocardiogram , Discrete Wavelet Transform, P-QRS-T Segment, NI Lab VIEW Biomedical Toolkit, Biomedical workbench, ECG, Electrocardiograph parameters ECG Feature Extraction.

© 2022 International Journal of Advanced Trends in Computer Applications
Foundation of Computer Applications (FCA), All right reserved.
Vision & Mission | Privacy Policy | Terms and Conditions