Remote Health Watchdog Framework for Seizure Patient Using Electronic Sensors

  • Authors

    • Vasumathi Devi Majety
    • Dr G.Murali
    2018-03-18
    https://doi.org/10.14419/ijet.v7i2.7.10977
  • Epileptic seizure, WHO, GSM and ARDUINO.

  • Epilepsy is due to the neurological disorder of a patient which makes the patient uncontrolled and makes unconscious. The patient should get support through an ongoing framework. The brilliant epilepsy recognition and ready framework is a propelled innovation by which an electronic device is introduced. Utilizing that pack, the life of the individual who is truly affecting with the condition can be anticipated. As per World Health Organization (WHO), epilepsy is a standout amongst the most well-known essential sicknesses of the focal sensory system around the world, which is exasperated by the sudden variable that portrays the event of an epileptic occasion. In this manner, the capacity to recognize scene preceding its beginning is introduced as a relief variable to the upsetting effects that emerge from this situation. The casing will be tolerable, confirms the condition and also alerts to the the family doctor. To realize all the above plan, mainly utilized four modules: three sensors, data analysis and ARDUINO module with GSM and GPRS module.

     

     

  • References

    1. [1] J. F. Annegers and S. P. Coan, "SUDEP: Overview of definitions and review of incidence data," Seizure: European Journal of Epilepsy, vol. 8(6), pp. 347-352, 1999.

      [2] O. Devinsky, "Sudden, unexpected death in epilepsy," New England Journal of Medicine, vol. 365, no. 19, pp.1801-1811,2011.

      [3] S. Beniczky, T. Polster, T. W. Kjaer, and H. Hjalgrim, "Detection of generalized tonic- clonic seizures by a wireless wrist accelerometer: A prospective, multicenter study," Epilepsia, vol. 54(4), pp. 58-61, 2013

      [4] K. V. Poppel, S. P. Fulton, A. McGregor, M. Ellis, A. Patters, and J. Wheless, "Prospective Study of the Emfit Movement Monitor," J Child Neurol, vol. 00(0), pp. 1-3, 2013.

      [5] S. Gouravajhala, D. Wang, L. Khuon, and F. Bao, "EpSMART: Epileptic seizure monitoring with alerts in real time: A tablet-based Android application for a real-time multi-modal seizure detection system," in Bioinformatics and Biomedicine Workshops (BIBMW), 2012 IEEE International Conference on, 2012, pp. 959-961.

      [6] K. Cuppens, B. Vanrumste, B. Ceulemans, L. Lagae, and S. Van Huf-fel, "Detection of epileptic seizures using video data," in Intelligent Environments (IE), 2010 Sixth International Conference on, 2010, pp. 372- 373.

      [7] M.-Z. Poh, T. Loddenkemper, C. Reinsberger, N. C. Swenson, S. Goyal, M. C. Sabtala, J.R. Madsen, and R. W. Picard, "Convulsive seizure detection using a wrist- worn electrodermal activity and accelerometry biosensor," Epilepsia,vol.53,no.5, pp. 93-97, 2012.

      [8] F. Masse, J. Penders, A. Serteyn, M. van Bussel, and J. Arends, "Miniaturized wireless ECG-monitor for real-time detection of epileptic seizures," in Wireless Health 2010, ser. WH ' 10. New York, NY, USA: ACM, 2010, pp. 111-117.

      [9] G. de Bruijne, P. Sommen, and R. Aarts, "Detection of epileptic seizures through audio classification," in 4th European Congress of the International Federation for Medical and Biological Engineering (IFMBE), 2008.

      [10] Najafi B, Aminian K, Paraschiv-Ionescu A, Loew F, Bula C, Robert P. “Ambulatory system for human motion analysis using a kinematic sensor: Monitoring of daily physical activity in the elderlyâ€. IEEE Trans on Biomed Eng. 2003;50:711–23.

      [11] Dunnewold RJ, Hoff JI, Pelt HC, Fredrikze PQ, Wagemans EA, Hilten BJ. “Ambulatory quantitative assessment of body position, bradykinesia, and hypokinesia in parkinson's diseaseâ€. J Clin Neurophysiol. 1998;15:235–42.

      [12] G. Webster, "Basic Concepts of Medical Instrumentation," in Medical Instrumentation Application and Design, New York, NY: Wiley, 2009, pp. 10-11.

      [13] Mathie MJ, Celler BG, Lovell NH, Coster AC. “Classification of basic daily movements using a triaxial accelerometerâ€. Med Biol Eng Comput. 2004;42:679–87.

      Thielgen T, Foerster F, Fuchs G, Hornig A, Fahrenberg J. Tremor in parkinson's disease: 24-hr monitoring with calibrated

  • Downloads

  • How to Cite

    Devi Majety, V., & G.Murali, D. (2018). Remote Health Watchdog Framework for Seizure Patient Using Electronic Sensors. International Journal of Engineering & Technology, 7(2.7), 783-785. https://doi.org/10.14419/ijet.v7i2.7.10977