An Autonomous Health Monitoring and Fall Detection Using Wban

  • Authors

    • Mr. M.Sheriff
    • G. R.Deepika
    • S. Sandhiya
    • S. Sowmiya
    https://doi.org/10.14419/ijet.v7i4.6.28926
  • IOT, wireless body area network (WBAN), Node MCU, GPS, MEMS
  • Abstract

    Abstract—Over the last couple of decades, the walkable patients who are all using the wired sensors are bedbound and also they suffer from psychological stress. In order to overcome this inconvenience, our project made this as wireless. This is based up on the communication devices like mobile phones and WBAN for the real time analysis of the patient health [1].We have two section, one is transmitter and another one is receiver. In transmitter side, the basic essential sensors like temperature sensor, BP sensor, heartbeat sensor,SPO2 sensor(measures glucose level), MEMS sensor(detects the fall) and GPS module are connected to Node MCU(Microcontroller Unit).In receiver side all the sensors and the GPS module are connected to cloud storage through node MCU. The status about the patient’s health will be continuously updated on the cloud storageand in the case of abnormal values, the location of the patients will be send as a mail to the medical practioners and concern person.

     

  • References

    1. [1] Madhuri Baswa, R Karthik, P B Natarajan, K Jyothi, B Annapurna “Patient Health Management System Using e-Health Monitoring Architectureâ€Proceedings of the International Conference on Intelligent Sustainable Systems (ICISS 2017) IEEE Xplore Compliant - Part Number: CFP17M19-ART, ISBN: 978-1-5386-1959-9

      [2] Shaik Abdul Waheed, Dr. P. Sheik Abdul Khader “A Novel Approach for Smart and Cost Effective IoT Based Elderly Fall Detection System Using Pi Cameraâ€

      [3] Falin Wu, Hengyang Zhao, Yan Zhao, Haibo Zhong “Development of a wearable -Sensor-Based Fall Detection Systemâ€

      [4] K.Sundara Velrani, Dr.G.Geetha “Sensor Based Healthcare Information System†2016 IEEE International Conference on Technological Innovations in ICT for Agriculture and Rural Development (TIAR 2016)

      [5] Dr. AntoBennet, M, Sankar Babu G, Natarajan S, “Reverse Room Techniques for Irreversible Data Hidingâ€, Journal of Chemical and Pharmaceutical Sciences 08(03): 469-475, September 2015.

      [6] Dr. AntoBennet, M , Sankaranarayanan S, Sankar Babu G, “ Performance & Analysis of Effective Iris Recognition System Using Independent Component Analysisâ€, Journal of Chemical and Pharmaceutical Sciences 08(03): 571-576, August 2015.

      [7] Dr. AntoBennet, M, Suresh R, Mohamed Sulaiman S, “Performance &analysis of automated removal of head movement artifacts in EEG using brain computer interfaceâ€, Journal of Chemical and Pharmaceutical Research 07(08): 291-299, August 2015.

      [8] Dr. AntoBennet, M “A Novel Effective Refined Histogram For Supervised Texure Classificationâ€, International Journal of Computer & Modern Technology , Issue 01 ,Volume02 ,pp 67-73, June 2015.

      [9] Dr. AntoBennet, M, Srinath R,Raisha Banu A,“Development of Deblocking Architectures for block artifact reduction in videosâ€, International Journal of Applied Engineering Research,Volume 10, Number 09 (2015) pp. 6985-6991, April 2015.

      [10] AntoBennet, M & JacobRaglend, “Performance Analysis Of Filtering Schedule Using Deblocking Filter For The Reduction Of Block Artifacts From MPEQ Compressed Document Imagesâ€, Journal of Computer Science, vol. 8, no. 9, pp. 1447-1454, 2012.

      [11] AntoBennet, M & JacobRaglend, “Performance Analysis of Block Artifact Reduction Scheme Using Pseudo Random Noise Mask Filteringâ€, European Journal of Scientific Research, vol. 66 no.1, pp.120-129, 2011.

  • Downloads

  • How to Cite

    M.Sheriff, M., R.Deepika, G., Sandhiya, S., & Sowmiya, S. (2018). An Autonomous Health Monitoring and Fall Detection Using Wban. International Journal of Engineering & Technology, 7(4.6), 550-553. https://doi.org/10.14419/ijet.v7i4.6.28926

    Received date: 2019-04-22

    Accepted date: 2019-04-22