Stress monitoring based on stochastic fuzzy analysis of heartbeat intervals

IEEE Transactions on Fuzzy Systems

Volumn 20, Issue 4, 2012, Pages 746-759

  Kumar, Mohit ^a   Neubert, Sebastian ^b   Behrendt, Sabine ^b   Rieger, Annika ^b   Weippert, Matthias ^b   Stoll, Norbert ^b   Thurow, Kerstin ^b   Stoll, Regina ^b  

^a Center for Life Science Automation   (Germany)

^b UNIVERSITY OF ROSTOCK   (Germany)

Author keywords

E health; fuzzy modeling; hearbeat intervals; stress; variational Bayes

Indexed keywords

ANALYSIS METHOD; E-HEALTH SYSTEMS; EHEALTH; FUZZY ANALYSIS; FUZZY MODELING; HEARBEAT INTERVALS; HEART BEATS; INDIVIDUAL-BASED; INTERVAL MODELS; MATHEMATICAL ANALYSIS; PHYSIOLOGICAL DATA; RR INTERVALS; SHORT TIME SERIES; STRESS ESTIMATION; STRESS LEVELS; STRESS MONITORING; SUBJECTIVE RATING; TELEMEDICAL APPLICATIONS; TIME INTERVAL; VARIATIONAL BAYES;

STOCHASTIC SYSTEMS; STRESSES;

STOCHASTIC MODELS;

EID: 84862570967     PISSN: 10636706     EISSN: None     Source Type: Journal    
DOI: 10.1109/TFUZZ.2012.2183602     Document Type: Article

References (37)

1. C. Setz, B. Arnrich, J. Schumm, R. L. Marca, G. Tröster, and U. Ehlert, "Descriminating stress from cognitive load using a wearable EDAdevice," IEEE Trans. Inf. Technol. Biomed., vol. 14, no. 2, pp. 410-417, Mar. 2010.
2. J. A. Healey and R.W. Picard, "Detecting stress during real-world driving tasks using physiological sensors," IEEE Trans. Intell. Transp. Syst., vol. 6, no. 2, pp. 156-166, Jun. 2005.
3. J. Zhai and A. Barreto, "Stress detection in computer users based on digital signal processing of nonlinvasive physiological variables," in Proc. 28th IEEE EMBS Annu. Int. Conf., New York, Aug. 2006, pp. 1355-1358.
4. M.-H. Lee, G. Yang, H.-K. Lee, and S. Bang, "Development stress monitoring system based on personal digital assistant," in Proc. 26th IEEE EMBS Annu. Int. Conf., San Francisco, CA, Sep. 2004, pp. 2364-2367.
5. C. D. Katsis, G. Ganiatsas, and D. I. Fotiadis, "An integrated telemedicine platform for the assessment of affective physiological states," Diagnost. Pathol., vol. 1, pp. 1-16, Aug. 2006.
6. Task Force of the European Society of Cardiology and the NorthAmerican Society of Pacing and Electrophysiology, "Heart rate variability. Standards of measurement, physiological interpretation, and clinical use," Eur. Heart J., vol. 17, pp. 354-381, 1996.
7. S. Akselrod, D. Gordon, F. A. Ubel, D. C. Shannon, A. C. Barger, and R. J. Cohen, "Power spectrum analysis of heart rate fluctuation: A quantitative probe of beat to beat cardiovascular control," Science, vol. 213, pp. 220-222, 1981.
8. N. Montano, A. Porta, C. Cogliati, G. Costantino, E. Tobaldini, K. R. Casali, and F. Iellamo, "Heart rate variability explored in the frequency domain: A tool to investigate the link between heart and behavior," Neurosci. Biobehav. Rev., vol. 33, no. 2, pp. 71-80, 2009.
9. N. Y. Belova, S. V. Mihaylov, and B. G. Piryova, "Wavelet transform: A better approach for the evaluation of instantaneous changes in heart rate variability," Autonom. Neurosci.: Basic Clin., vol. 131, no. 1, pp. 107-122, 2007.
10. A. Voss, S. Schulz, R. Schroeder, M. Baumert, and P. Caminal, "Methods derived from nonlinear dynamics for analysing heart rate variability," Philosoph. Trans. R. Soc. A: Math., Phys. Eng. Sci., vol. 367, no. 1887, pp. 277-296, 2009.
11. R. Barbieri, E. C. Matten, A. A. Alabi, and E. N. Brown, "A point-process model of human heartbeat intrervals: New definitions of heart rate and heart rate variability," Amer. J. Physiol. Heart Circ. Physiol., vol. 288, pp. H424-H435, 2005.
12. R. Barbieri and E. N. Brown, "Analysis of heartbeat dynamics by point process adaptive filtering," IEEE Trans. Biomed. Eng., vol. 53, no. 1, pp. 4-12, Jan. 2006.
13. B. M. Sayers, "Analysis of heart rate variability," Ergonom., vol. 16, no. 1, pp. 17-32, 1973.
14. J. W. Hughes and C. M. Stoney, "Depressed mood is related to highfrequency heart rate variability during stressors," Psychosomat. Med., vol. 62, pp. 796-803, 2000.
15. J. P. Delaney and D. A. Brodie, "Effects of short-term psychological stress on the time and frequency domains of heart-rate variability," Percept. Motor Skills, vol. 91, pp. 515-524, 2000.
16. D. Lucini, G. Norbiato, M. Clerici, and M. Pagani, "Hemodynamic and autonomic adjustments to real life stress conditions in humans," Hypertension, vol. 39, pp. 184-188, 2002.
17. L.-Y. Lin, C.-C. Wu, Y.-B. Liu, Y.-L. Ho, C.-S. Liau, and Y.-T. Lee, "Derangement of heart rate variability during a catastrophic earthquake: A possible mechanism for increased heart attacks," J. Pac. Clin. Electrophysiol., vol. 24, no. 11, pp. 1596-1601, 2001.
18. R. K. Dishman, Y. Nakamura,M. E. Garcia, R.W. Thompson, A. L. Dunn, and S. N. Blair, "Heart rate variability, trait anxiety, and perceived stress among physically fit men and women," Int. J. Psychophysiol., vol. 37, pp. 121-133, 2000.
19. M. Kumar, M. Weippert, R. Vilbrandt, S. Kreuzfeld, and R. Stoll, "Fuzzy evaluation of heart rate signals formental stress assessment," IEEE Trans. Fuzzy Syst., vol. 15, no. 5, pp. 791-808, Oct. 2007.
20. M. Kumar, D. Arndt, S. Kreuzfeld, K. Thurow, N. Stoll, and R. Stoll, "Fuzzy techniques for subjective workload score modelling under uncertainties," IEEE Trans. Syst., Man, Cybern. B: Cybern., vol. 38, no. 6, pp. 1449-1464, Dec. 2008.
21. M. Kumar, M. Weippert, N. Stoll, and R. Stoll, "A mixture of fuzzy filters applied to the analysis of heartbeat intervals," Fuzzy Optim. Decis. Making, vol. 9, no. 4, pp. 383-412, 2010.
22. M. Kumar, N. Stoll, and R. Stoll, "Variational Bayes for a mixed stochastic/deterministic fuzzy filter," IEEE Trans. Fuzzy Syst., vol. 18, no. 4, pp. 787-801, Aug. 2010.
23. R. Alcalá, M. J. Gacto, and F. Herrera, "A fast and scalable multiobjective genetic fuzzy system for linguistic fuzzy modeling in high-dimensional regression problems," IEEE Trans. Fuzzy Syst., vol. 19, no. 4, pp. 666-681, Aug. 2011.
24. A. Lemos, W. Caminhas, and F. Gomide, "Multivariable Gaussian evolving fuzzy modeling system," IEEE Trans. Fuzzy Syst., vol. 19, no. 1, pp. 91-104, Feb. 2011.
25. Z. Deng, K.-S. Choi, F.-L. Chung, and S. Wang, "Scalable TSK fuzzy modeling for very large datasets using minimal-enclosing-ball approximation," IEEE Trans. Fuzzy Syst., vol. 19, no. 2, pp. 210-226, Apr. 2011.
26. M. H. Mashinchi, M. A. Orgun, M. Mashinchi, and W. Pedrycz, "A tabuharmony search-based approach to fuzzy linear regression," IEEE Trans. Fuzzy Syst., vol. 19, no. 3, pp. 432-448, Jun. 2011.
27. C.-F. Juang, C.-M. Hsiao, and C.-H. Hsu, "Hierarchical cluster-based multispecies particle-swarm optimization for fuzzy-system optimization," IEEE Trans. Fuzzy Syst., vol. 18, no. 1, pp. 14-26, Feb. 2010.
28. C.-F. Juang, R.-B. Huang, and W.-Y. Cheng, "An interval type-2 fuzzyneural network with support-vector regression for noisy regression problems," IEEE Trans. Fuzzy Syst., vol. 18, no. 4, pp. 686-699, Aug. 2010.
29. P. Liu and H. Li, "Approximation of stochastic processes by T-S fuzzy systems," Fuzzy Sets Syst., vol. 155, no. 2, pp. 215-235, 2005.
30. W. Liao, W. Zhang, Z. Zhu, and Q. Ji, "A real-time human stress monitoring system using dynamic Bayesian network," in Proc. IEEE Comput. Soc. Conf. Comput. Vis. Pattern Recognit., Washington, DC, Jun. 2005, p. 70.
31. S. Neubert, D. Arndt, K. Thurow, and R. Stoll, "Mobile real-time data acquisition system for application in preventive medicine," Telemed. e-Health, vol. 16, no. 4, pp. 504-509, 2009.
32. S. G. Hart and L. E. Staveland, "Development of NASA-TLX (Task Load Index): Results of empirical and theoretical research," in Human Mental Workload, P. A. Hancock and N. Meshkati, Eds. Amsterdam, The Netherlands: North-Holland, 1988.
33. P. Rani, J. Sims, R. Brackin, and N. Sarkar, "Online stress detection using psychophysiological signal for implicit human-robot cooperation," Robotica, vol. 20, no. 6, pp. 673-686, 2002.
34. J. McNames, T. Thong, and M. Aboy, "Impulse rejection filter for artifact removal in spectral analysis of biomedical signals," in Proc. 26th Annu. Int. Conf. IEEE Eng. Med. Biol. Soc., San Francisco, CA, Sep. 2004, pp. 145-148.
35. M. P. Tarvainen, P.O. Ranta-Aho, and P.A.Karjalainen, "An advanced detrending method with application to HRV analysis," IEEE Trans. Biomed. Eng., vol. 49, no. 2, pp. 172-175, Feb. 2002.
36. C. Yang and T. Kuo, "Assessment of cardiac sympathetic regulation by respiratory-related arterial pressure variability in the rat," J. Physiol., vol. 515, pp. 887-896, 1999.
37. A. M. Bianchi, L. T. Mainardi, C. Merloni, S. Chierchia, and S. Cerutti, "Continuous monitoring of the sympatho-vagal balance through spectral analysis," IEEE Eng. Med. Biol.Mag., vol. 16, no. 5, pp. 64-73, Sep./Oct. 1997.