Wireless Electroencephalography Based Blood Pressure Monitoring

  • Authors

    • R. A. Jafri
    • N. Shahid
    • M. F. Shamim
    • M. A. Alam
    • M. W. Munir
    • M. Z. Ul Haque
    2018-12-03
    https://doi.org/10.14419/ijet.v7i4.38.27605
  • Blood Pressure, Wireless BCI, Smart Home, Wireless electroencephalogram, Android Application

  • Abstract

    The number of cardiac patients and aged individuals are at a rise all around the world. Taking care of such individuals is a major challenge these days. In many cases, these patients require special care and regular monitoring of vital signs like blood pressure (BP). Focusing a prevalent idea of wireless brain-computer interface (WBCI), an innovative research work is considered to meet essential routine monitoring of BP for cardiac patients and aged people without any reliance. The research framework involves the use of wireless electroencephalogram (EEG) headset to control wrist BP and arm BP monitors to determine accurate BP readings in the proposed system. An Android application "Smart Home Monitor" is developed that screens the information from the headset. The research framework is tested on ten individuals to examine the precision in BP readings from two different BP monitors. Results specify that both upper arm blood pressure readings i.e. Systolic BP readings (SBP = 119.6 ±5.1 mmHg) and Diastolic BP (DBP = 79.5 ±7.4 mmHg) were found to be better than the wrist BP readings (SBP = 128.2 ±11.7 mmHg and DBP = 83.6 ±10.3 mmHg). This examination assessed that the designed system empowers the framework to be reliable, remote and compact.

     

     

  • References

    1. [1] A. L. S. Ferreira, L. C. de Miranda, E. E. C. de Miranda, and S. G. Sakamoto, "A survey of interactive systems based on brain-computer interfaces," SBC Journal on Interactive Systems, vol. 4, pp. 3-13, 2013.

      [2] R. Leeb, S. Perdikis, L. Tonin, A. Biasiucci, M. Tavella, M. Creatura, et al., "Transferring brain–computer interfaces beyond the laboratory: successful application control for motor-disabled users," Artificial intelligence in medicine, vol. 59, pp. 121-132, 2013.

      [3] M. Fortune, K. Jeselnik, S. Johnson, L. Wiley, and A. Smith, "A comparison of forearm and upper arm blood pressure measurements in a sample of healthy young adults," J Undergrad Nurs Scholarsh, vol. 11, pp. 1-9, 2009.

      [4] C. Porth, Essentials of pathophysiology: concepts of altered health states: Lippincott Williams & Wilkins, 2011.

      [5] R. Chen, K. Dharmarajan, V. T. Kulkarni, N. Punnanithinont, A. Gupta, B. Bikdeli, et al., "Most important outcomes research papers on hypertension," Circulation: Cardiovascular Quality and Outcomes, vol. 6, pp. e26-e35, 2013.

      [6] S. Uen, B. Weisser, P. Wieneke, H. Vetter, and T. Mengden, "Evaluation of the performance of a wrist blood pressure measuring device with a position sensor compared to ambulatory 24-hour blood pressure measurements," American journal of hypertension, vol. 15, pp. 787-792, 2002.

      [7] N. S. Latman and A. Latman, "Evaluation of instruments for noninvasive blood pressure monitoring of the wrist," Biomedical instrumentation & technology, vol. 31, pp. 63-68, 1997.

      [8] N. S. Latman, N. Coker, and C. Teague, "Evaluation of an instrument for noninvasive blood pressure monitoring in the forearm," Biomedical instrumentation & technology, vol. 30, pp. 160-163, 1996.

      [9] D. Emerick, "An evaluation of non-invasive blood pressure (NIBP) monitoring on the wrist: comparison with upper arm NIBP measurement," Anaesthesia and intensive care, vol. 30, p. 43, 2002.

      [10] G. Beevers, G. Y. Lip, and E. O'brien, "Blood pressure measurement: Part I—Sphygmomanometry: factors common to all techniques," Bmj, vol. 322, pp. 981-985, 2001.

      [11] S. R. A. Jafri, T. Hamid, R. Mahmood, M. A. Alam, T. Rafi, M. Z. Ul Haque, et al., "Wireless Brain Computer Interface for Smart Home and Medical System," Wireless Personal Communications, September 15 2018.

      [12] M. J. Horan and S. C. Mockrin, "Hypertension research. The next five years," Hypertension, vol. 15, p. I25, 1990.

      [13] A. Berger, "Oscillatory blood pressure monitoring devices," BMJ: British Medical Journal, vol. 323, p. 919, 2001.

      [14] L. F. Nicolas-Alonso and J. Gomez-Gil, "Brain computer interfaces, a review," Sensors, vol. 12, pp. 1211-1279, 2012.

      [15] K. Stytsenko, E. Jablonskis, and C. Prahm, "Evaluation of consumer EEG device Emotiv EPOC," in MEi: CogSci Conference 2011, Ljubljana, 2011.

      [16] NeuroSky, "NeuroSky’s eSense™ meters and Detection of Mental State," Neurosky, Inc2009.

      [17] G. Mancia, R. Fagard, K. Narkiewicz, J. Redon, A. Zanchetti, M. Böhm, et al., "2013 ESH/ESC guidelines for the management of arterial hypertension: the Task Force for the Management of Arterial Hypertension of the European Society of Hypertension (ESH) and of the European Society of Cardiology (ESC)," Blood pressure, vol. 22, pp. 193-278, 2013.

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  • How to Cite

    A. Jafri, R., Shahid, N., F. Shamim, M., A. Alam, M., W. Munir, M., & Z. Ul Haque, M. (2018). Wireless Electroencephalography Based Blood Pressure Monitoring. International Journal of Engineering & Technology, 7(4.38), 904-907. https://doi.org/10.14419/ijet.v7i4.38.27605

    Received date: 2019-02-20

    Accepted date: 2019-02-20

    Published date: 2018-12-03