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Evaluation of Stress Parameters Based on Heart Rate Variability Measurements

Yıl 2017, Cilt: 17 Sayı: 1, 3057 - 3063, 27.03.2017

Öz
















In this study, heart rate variability
measurements and analysis was carried with help of the ECG recordings to show
how autonom nervous system activity changes. So as to evaluate the parameters
related to stress of the study, the situation of relaxation, Stroop color/word
test, mental test and auditory stimulus that would stress someone out were
applied to six volunteer participants in a laboratory environment. Being taken
totally seven minutes ECG recording and made analysis in time and frequency
domain, it was tried to determine that how the parameters that shows autonom
nervous system activity change in the position of stress. In frequency domain
analysis there has seen significant increase in low frequency band (LF band)
which indicates sympathetic activity  particularly
during mental and Stroop color/word tests.
    

Kaynakça

  • [1] S. Reisman, “Measurement of physiological stress”, In Bioengineering Conference, 23rd Northeast,1997 pp. 21-23.
  • [2] K. Plarre, A. Raij, S. M. Hossain, A. A. Ali, M. Nakajima, M. Al'absi, D.Siewiorek, “Continuous inference of psychological stress from sensory measurements collected in the natural environment”, In Information Processing in Sensor Networks (IPSN),10th International Conference, 2011,  pp. 97-108.
  • [3] B. S. Oken, I. Chamine, W. Wakeland, “A systems approach to stress, stressors and resilience in humans”,  Behavioural Brain Research, vol. 282, pp. 144-154, 2015.
  • [4] O. Kofman, N. Meiran, E. Greenberg, M. Balas, H. Cohen, “Enhanced performance on executive functions associated with examination stress: Evidence from task-switching and Stroop paradigms”, Cognition& Emotion, vol. 20, no 5, pp. 577-595, 2006.
  • [5] O. V. Crowley, P. S. McKinley, M. M. Burg, J. E. Schwartz, C. D. Ryff, M. Weinstein, R. P. Sloan, “The interactive effect of change in perceived stress and trait anxiety on vagal recovery from cognitive challenge”,  International Journal of Psychophysiology, vol. 82 no 3, pp. 225-232, 2011.
  • [6] D. McDuff, S. Gontarek, R. Picard, “Remote measurement of cognitive stress via heart rate variability” 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, pp. 2957-2960, 2014.
  • [7] J. Taelman, S. Vandeput, A. Spaepen, S. Van Huffel, “Influence of mental stress on heart rate and heart rate variability” In 4th European conference of the international federation for medical and biological engineering, pp. 1366-1369, Springer Berlin Heidelberg, 2009.
  • [8] W. Wu, J. Lee, “Development of full-featured ECG system for visual stress induced heart rate variability (HRV) assessment” In The 10th IEEE International Symposium on Signal Processing and Information Technology, pp. 144-149, 2010.
  • [9] W. Wu, J. Lee, H. Chen, “Estimation of heart rate variability changes during different visual stimulations using non-invasive continuous ecg monitoring system”, In Bioinformatics, Systems Biology and Intelligent Computing, IJCBS'09. International Joint Conference on, pp. 344-347, 2009.
  • [10] B. S. Oh, Y. K. Yeo, F. Y. Wan, Y. Wen, Y. Yang, Z. Lin, “Effects of noisy sounds on human stress using ECG signals: An empirical study”, In 2015 10th International Conference on Information, Communications and Signal Processing (ICICS), pp. 1-4, 2015.
  • [11] Z. Visnovcova, M. Mestanik, M. Javorka, D. Mokra, M. Gala, A. Jurko, I. Tonhajzerova, “Complexity and time asymmetry of heart rate variability are altered in acute mental stress”,  Physiological measurement, vol. 35, no 7, pp. 1319, 2014.
  • [12] R. Castaldo, P. Melillo, U. Bracale, M. Caserta, M. Triassi, L. Pecchia, “Acute mental stress assessment via short term HRV analysis in healthy adults: A systematic review with meta-analysis”,  Biomedical Signal Processing and Control, vol 18, pp. 370-377, 2015.
  • [13] S. Mayya, V. Jilla, V. N. Tiwari, M. M. Nayak, R. Narayanan, “Continuous monitoring of stress on smartphone using heart rate variability”, In Bioinformatics and Bioengineering (BIBE),IEEE 15th International Conference on pp. 1-5, 2015.
  • [14] V. Vuksanović, V. Gal, “Heart rate variability in mental stress aloud”, Medical engineering & physics, vol. 29, no 3, pp. 344-349, 2007.
  • [15] J. Pan, W. J. Tompkins, “A real-time QRS detection algorithm”, IEEE transactions on biomedical engineering, vol 3, pp. 230-236, 1985.
  • [16] Task Force of the European Society of Cardiology, “Heart rate variability standards of measurement, physiological interpretation, and clinical use”,  Eur heart J, vol. 17, pp. 354-381, 1996.
Yıl 2017, Cilt: 17 Sayı: 1, 3057 - 3063, 27.03.2017

Öz

Kaynakça

  • [1] S. Reisman, “Measurement of physiological stress”, In Bioengineering Conference, 23rd Northeast,1997 pp. 21-23.
  • [2] K. Plarre, A. Raij, S. M. Hossain, A. A. Ali, M. Nakajima, M. Al'absi, D.Siewiorek, “Continuous inference of psychological stress from sensory measurements collected in the natural environment”, In Information Processing in Sensor Networks (IPSN),10th International Conference, 2011,  pp. 97-108.
  • [3] B. S. Oken, I. Chamine, W. Wakeland, “A systems approach to stress, stressors and resilience in humans”,  Behavioural Brain Research, vol. 282, pp. 144-154, 2015.
  • [4] O. Kofman, N. Meiran, E. Greenberg, M. Balas, H. Cohen, “Enhanced performance on executive functions associated with examination stress: Evidence from task-switching and Stroop paradigms”, Cognition& Emotion, vol. 20, no 5, pp. 577-595, 2006.
  • [5] O. V. Crowley, P. S. McKinley, M. M. Burg, J. E. Schwartz, C. D. Ryff, M. Weinstein, R. P. Sloan, “The interactive effect of change in perceived stress and trait anxiety on vagal recovery from cognitive challenge”,  International Journal of Psychophysiology, vol. 82 no 3, pp. 225-232, 2011.
  • [6] D. McDuff, S. Gontarek, R. Picard, “Remote measurement of cognitive stress via heart rate variability” 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, pp. 2957-2960, 2014.
  • [7] J. Taelman, S. Vandeput, A. Spaepen, S. Van Huffel, “Influence of mental stress on heart rate and heart rate variability” In 4th European conference of the international federation for medical and biological engineering, pp. 1366-1369, Springer Berlin Heidelberg, 2009.
  • [8] W. Wu, J. Lee, “Development of full-featured ECG system for visual stress induced heart rate variability (HRV) assessment” In The 10th IEEE International Symposium on Signal Processing and Information Technology, pp. 144-149, 2010.
  • [9] W. Wu, J. Lee, H. Chen, “Estimation of heart rate variability changes during different visual stimulations using non-invasive continuous ecg monitoring system”, In Bioinformatics, Systems Biology and Intelligent Computing, IJCBS'09. International Joint Conference on, pp. 344-347, 2009.
  • [10] B. S. Oh, Y. K. Yeo, F. Y. Wan, Y. Wen, Y. Yang, Z. Lin, “Effects of noisy sounds on human stress using ECG signals: An empirical study”, In 2015 10th International Conference on Information, Communications and Signal Processing (ICICS), pp. 1-4, 2015.
  • [11] Z. Visnovcova, M. Mestanik, M. Javorka, D. Mokra, M. Gala, A. Jurko, I. Tonhajzerova, “Complexity and time asymmetry of heart rate variability are altered in acute mental stress”,  Physiological measurement, vol. 35, no 7, pp. 1319, 2014.
  • [12] R. Castaldo, P. Melillo, U. Bracale, M. Caserta, M. Triassi, L. Pecchia, “Acute mental stress assessment via short term HRV analysis in healthy adults: A systematic review with meta-analysis”,  Biomedical Signal Processing and Control, vol 18, pp. 370-377, 2015.
  • [13] S. Mayya, V. Jilla, V. N. Tiwari, M. M. Nayak, R. Narayanan, “Continuous monitoring of stress on smartphone using heart rate variability”, In Bioinformatics and Bioengineering (BIBE),IEEE 15th International Conference on pp. 1-5, 2015.
  • [14] V. Vuksanović, V. Gal, “Heart rate variability in mental stress aloud”, Medical engineering & physics, vol. 29, no 3, pp. 344-349, 2007.
  • [15] J. Pan, W. J. Tompkins, “A real-time QRS detection algorithm”, IEEE transactions on biomedical engineering, vol 3, pp. 230-236, 1985.
  • [16] Task Force of the European Society of Cardiology, “Heart rate variability standards of measurement, physiological interpretation, and clinical use”,  Eur heart J, vol. 17, pp. 354-381, 1996.
Toplam 16 adet kaynakça vardır.

Ayrıntılar

Bölüm Makaleler
Yazarlar

Fatma Uysal

Mahmut Tokmakçı

Yayımlanma Tarihi 27 Mart 2017
Yayımlandığı Sayı Yıl 2017 Cilt: 17 Sayı: 1

Kaynak Göster

APA Uysal, F., & Tokmakçı, M. (2017). Evaluation of Stress Parameters Based on Heart Rate Variability Measurements. IU-Journal of Electrical & Electronics Engineering, 17(1), 3057-3063.
AMA Uysal F, Tokmakçı M. Evaluation of Stress Parameters Based on Heart Rate Variability Measurements. IU-Journal of Electrical & Electronics Engineering. Mart 2017;17(1):3057-3063.
Chicago Uysal, Fatma, ve Mahmut Tokmakçı. “Evaluation of Stress Parameters Based on Heart Rate Variability Measurements”. IU-Journal of Electrical & Electronics Engineering 17, sy. 1 (Mart 2017): 3057-63.
EndNote Uysal F, Tokmakçı M (01 Mart 2017) Evaluation of Stress Parameters Based on Heart Rate Variability Measurements. IU-Journal of Electrical & Electronics Engineering 17 1 3057–3063.
IEEE F. Uysal ve M. Tokmakçı, “Evaluation of Stress Parameters Based on Heart Rate Variability Measurements”, IU-Journal of Electrical & Electronics Engineering, c. 17, sy. 1, ss. 3057–3063, 2017.
ISNAD Uysal, Fatma - Tokmakçı, Mahmut. “Evaluation of Stress Parameters Based on Heart Rate Variability Measurements”. IU-Journal of Electrical & Electronics Engineering 17/1 (Mart 2017), 3057-3063.
JAMA Uysal F, Tokmakçı M. Evaluation of Stress Parameters Based on Heart Rate Variability Measurements. IU-Journal of Electrical & Electronics Engineering. 2017;17:3057–3063.
MLA Uysal, Fatma ve Mahmut Tokmakçı. “Evaluation of Stress Parameters Based on Heart Rate Variability Measurements”. IU-Journal of Electrical & Electronics Engineering, c. 17, sy. 1, 2017, ss. 3057-63.
Vancouver Uysal F, Tokmakçı M. Evaluation of Stress Parameters Based on Heart Rate Variability Measurements. IU-Journal of Electrical & Electronics Engineering. 2017;17(1):3057-63.