Automatic Medical Assistance with Dynamic Tele Monitoring System

Authors

  • S. Francis Shamili Department of Computer Science and Engineering, Dhanalakshmi Srinivasan Engineering College, Perambalur, Tamil Nadu, India Author
  • Aadith H Department of Computer Science and Engineering, Dhanalakshmi Srinivasan Engineering College, Perambalur, Tamil Nadu, India Author
  • Vivek Kumar Department of Computer Science and Engineering, Dhanalakshmi Srinivasan Engineering College, Perambalur, Tamil Nadu, India Author
  • Tamil Azhagan Department of Computer Science and Engineering, Dhanalakshmi Srinivasan Engineering College, Perambalur, Tamil Nadu, India Author
  • Jovakwin Litinov Department of Computer Science and Engineering, Dhanalakshmi Srinivasan Engineering College, Perambalur, Tamil Nadu, India Author

DOI:

https://doi.org/10.32628/CSEIT24102104

Keywords:

Wireless Sensor Network, Wearable Assist System, Heart Rate Peripheral Blood Oxygen Saturatio

Abstract

The optimization of our wearable assist system (AS) to monitor isolated patients on isolation wards. A wearable chest patch and finger-worn pulse oximeter were used to estimate and transmit continuous temp, Heart Rate (HR), and peripheral blood Oxygen Saturation (SpO2) data from ambulatory patients on these isolation wards to nurse bays remote from these patients, with a view to minimizing the risk of infection for nursing staff. Our virtual High-Dependency Unit system used a secure web-based architecture and protocols to transmit the vital-sign data in real time from wireless Android tablet devices, operating as patient data collection devices by the bedside in the isolation rooms, into the clinician dashboard interface Available nremotely via any modern web- browser. Although Internet of Things buttons have seen some success as consumer products, little has been reported on their application in hospital systems. The system can be used to check the health condition of the patient by using three sensor such as heart beat sensor, temperature sensor and pressure sensor and also to monitor the saline droplet condition of patients in each patient’s bed in rural public hospital. Therefore, a particular interest is focused on continuous monitoring techniques. For continuous monitoring, Atmega328 microcontroller is used. In this case several sensor unit is considered. the sensed value is equal to normal value, it stops further process. Otherwise it sends control signals to patient via Actuator.

Downloads

Download data is not yet available.

References

UN, “World Population Aging 2013,” 2013, pp. 8–10.

R. Weinstein, “RFID: A technical overview and its application to the enterprise,” IEEE IT Prof., vol. 7, no. 3, pp. 27–33, May/Jun. 2005. DOI: https://doi.org/10.1109/MITP.2005.69

P. Gope, T. Hwang, “Untraceable Sensor Movement in Distributed IoT Infrastructure,” IEEE Sensors Journal, Vol. 15 (9), pp. 5340–5348, 2015. DOI: https://doi.org/10.1109/JSEN.2015.2441113

P. Gope, T. Hwang, “A Realistic Lightweight Authentication Protocol Preserving Strong Anonymity for Securing RFID System,” Computers & Security (Elsevier Journal), Vol. 55, pp. 271–280, 2015. DOI: https://doi.org/10.1016/j.cose.2015.05.004

P. Kumar,and H. Lee, “Security Issues in Healthcare Applications Using Wireless Medical Sensor Networks: A Survey.” Sensors (Basel, Switzerland) 12.1 (2012): pp. 55–91. DOI: https://doi.org/10.3390/s120100055

D. Malan, T. F. Jones, M. Welsh,S. Moulton, "CodeBlue: An Ad Hoc Sensor Network Infrastructure for Emergency Medical Care," Proceedings of the MobiSys 2004 Workshop on Applications of Mobile Embedded Systems (WAMES 2004); Boston, MA, USA. 6–9 June 2004.

K. Lorincz, D. J. Malan, T. R. F. Fulford- Jones, A. Nawoj, A. Clavel, V. Shayder, G. Mainland, M. Welsh, "Sensor Networks for Emergency Response: Challenges and Opportunities", Pervas. Comput. vol.3, pp.16–23, 2004. DOI: https://doi.org/10.1109/MPRV.2004.18

A. Wood, G. Virone, T. Doan, Q. Cao, L. Selavo, Y. Wu, L. Fang, Z. He , S. Lin, J. Stankovic, "ALARM-NET: Wireless Sensor Networks for Assisted-Living and Residential Monitoring," Department of Computer Science, University of Virginia; Charlottesville, VA, USA: 2006. Technical Report CS-2006-01;

S. Pai, M. Meingast, T. Roosta, S. Bermudez, S. Wicker, D. K. Mul ligan , S. Sastry, "Confidentiality in Sensor Networks: Transactional Information," IEEE Security and Privacy Magazine. 2008 DOI: https://doi.org/10.1109/MSP.2008.107

J.W.P. Ng, B.P.L Lo, O. Wells, M. Sloman, N. Peters, A. Darzi, C. Toumazou, G. Yang, "Ubiquitous Monitoring Environment for Wearable and Implantable Sensors (UbiMon)," Proceedings of 6th International Conference on Ubiquitous Computing (UbiComp’04); Nottingham, UK. 7–14 September 2004.

Downloads

Published

05-05-2024

Issue

Section

Research Articles

How to Cite

[1]
S. Francis Shamili, Aadith H, Vivek Kumar, Tamil Azhagan, and Jovakwin Litinov, “Automatic Medical Assistance with Dynamic Tele Monitoring System”, Int. J. Sci. Res. Comput. Sci. Eng. Inf. Technol, vol. 10, no. 3, pp. 90–95, May 2024, doi: 10.32628/CSEIT24102104.

Similar Articles

1-10 of 79

You may also start an advanced similarity search for this article.