On interactive data visualization of physiological low-cost-sensor data with focus on mental stress

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 8127 LNCS, Issue , 2013, Pages 469-480

  Holzinger, Andreas ^a   Bruschi, Manuel ^a   Eder, Wolfgang ^b  

^a MEDICAL UNIVERSITY OF GRAZ   (Austria)

^b Wolfgang Eder Unternehmensentwicklung   (Austria)

Author keywords

BVP; Data visualization; EDA; HRV; Knowledge Discovery; low cost sensor; Stress

Indexed keywords

AFFECTIVE COMPUTING; BVP; EDA; HRV; HUMAN COMPUTER INTERACTION (HCI); INTERACTIVE VISUALIZATIONS; LOW-COST SENSORS; PERCEPTION AND COGNITION;

ARTIFICIAL INTELLIGENCE; BEHAVIORAL RESEARCH; DATA MINING; DECISION SUPPORT SYSTEMS; HUMAN COMPUTER INTERACTION; INFORMATION SYSTEMS; PHYSIOLOGY; SENSORS; STRESSES; VISUALIZATION;

DATA VISUALIZATION;

EID: 84885805089     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-40511-2_34     Document Type: Conference Paper

References (35)

1. Dolan, R.J.: Emotion, cognition, and behavior. Science 298(5596), 1191-1194 (2002)
2. Le Gall, J., Azoulay, E., Embriaco, N., Poncet, M., Pochard, F.: Burn out syndrome among critical care workers]. Bulletin de l'Académie Nationale de Médecine 195(2), 389 (2011)
3. Weber, A., Jaekel-Reinhard, A.: Burnout syndrome: a disease of modern societies? Occupational Medicine 50(7), 512-517 (2000)
4. Wickens, C.D., Gordon, S.E., Liu, Y.: An introduction to human factors engineering (2004)
5. Rubin, J., Chisnell, D.: Handbook of Usability Testing: Howto Plan, Design, and Conduct Effective Tests. Wiley (2008)
6. Cairns, P., Cox, A.L.: Research methods for human-computer interaction. Cambridge University Press (2008)
7. Lazar, J., Feng, J.H., Hochheiser, H.: Research methods in human-computer interaction. Wiley (2010)
8. Holzinger, A.: Process Guide for Students for Interdisciplinary Work in Computer Science/Informatics: Instructions Manual-Handbuch für Studierende. BoD-Books on Demand (2010)
9. Breitwieser, C., Terbu, O., Holzinger, A., Brunner, C., Lindstaedt, S., Müller-Putz, G.R.: iScope - viewing biosignals on mobile devices. In: Zu, Q., Hu, B., Elçi, A. (eds.) ICPCA 2012 and SWS 2012. LNCS, vol. 7719, pp. 50-56. Springer, Heidelberg (2013)
10. Sharma, N., Gedeon, T.: Objective measures, sensors and computational techniques for stress recognition and classification: A survey. Computer Methods and Programs in Biomedicine 108(3), 1287-1301 (2012)
11. Holzinger, A.: On knowledge discovery and interactive intelligent visualization of biomedical data-challenges in human-computer interaction & biomedical informatics. In: 9th International Joint Conference on e-Business and Telecommunications, ICETE 2012, pp. IS9-IS20 (2012)
12. Boucsein, W.: Electrodermal activity. Springer (2012)
13. Boucsein, W.: Electrodermal Activity. Springer (2012)
14. Dawson, M.E., Schell, A.M., Filion, D.L.: The electrodermal system. In: Cacioppo, J.T., Tassinary, L.G. (eds.) Handbook of Psychophysiology, 3rd edn., pp. 159-181. Cambridge Press (2007)
15. Johnson, L.C., Lubin, A.: Spontaneous electrodermal activity during waking and sleeping. Psychophysiology 3(1) (1966)
16. Camm, A.J., Malik, M., Bigger, J., Breithardt, G., Cerutti, S., Cohen, R., Coumel, P., Fallen, E., Kennedy, H., Kleiger, R., et al.: Heart rate variability: standards of measurement, physiological interpretation and clinical use. task force of the european society of cardiology and the north american society of pacing and electrophysiology. Circulation 93(5), 1043-1065 (1996)
17. Devereux, R.B., Roman, M.J., Palmieri, V., Okin, P.M., Boman, K., Gerdts, E., Nieminen, M.S., Papademetriou, V., Wachtell, K., Dahlöf, B.: Left ventricular wall stresses and wall stress-mass-heart rate products in hypertensive patients with electrocardiographic left ventricular hypertrophy: The life study. Journal of Hypertension 18(8), 1129-1138 (2000)
18. Barreto, A.B., Aguilar, C.D., Jakubzick, E.E.: Adaptive lms delay measurement in dual blood volume pulse signals for non-invasive monitoring [photoplethysmography]. In: Proceedings of the 1997 Sixteenth Southern Biomedical Engineering Conference, pp. 117-120. IEEE (1997)
19. Silva, H., Sousa, J., Gamboa, H.: Study and evaluation of palmar blood volume pulse for heart rate monitoring in a multimodal framework. Computing Paradigms for Mental Health, 35 (2012)
20. Sun, F.-T., Kuo, C., Cheng, H.-T., Buthpitiya, S., Collins, P., Griss, M.: Activity-aware mental stress detection using physiological sensors. In: Gris, M., Yang, G. (eds.) MobiCASE 2010. LNICST, vol. 76, pp. 282-301. Springer, Heidelberg (2012)
21. Wilhelm, F.H., Pfaltz, M.C., Grossman, P., Roth, W.T.: Distinguishing emotional from physical activation in ambulatory psychophysiological monitoring. Biomedical Sciences Instrumentation 42, 458-463 (2006)
22. Wilddivine (2013), http://www.wilddivine.com (accessed May 01, 2013)
23. Zhai, J., Barreto, A.: Stress detection in computer users based on digital signal processing of noninvasive physiological variables. In: 28th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2006, pp. 1355-1358. IEEE (2006)
24. Canento, F., Silva, H., Fred, A.: Applicability of multi-modal electrophysiological data acquisition and processing to emotion recognition. Computing Paradigms for Mental Health, 59 (2012)
25. Taelman, J., Vandeput, S., Spaepen, A., Van Huffel, S.: 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 (2009)
26. Acharya, U.R., Joseph, K.P., Kannathal, N., Lim, C.M., Suri, J.S.: Heart rate variability: a review. Medical and Biological Engineering and Computing 44(12), 1031-1051 (2006)
27. Lauer, M.S.: Autonomic function and prognosis. Cleveland Clinic Journal of Medicine 76(suppl 2), S18-S22 (2009)
28. Healey, J.A., Picard, R.W.: Detecting stress during real-world driving tasks using physiological sensors. IEEE Transactions on Intelligent Transportation Systems 6(2), 156-166 (2005)
29. Buchheit, M., Papelier, Y., Laursen, P.B., Ahmaidi, S.: Noninvasive assessment of cardiac parasympathetic function: postexercise heart rate recovery or heart rate variability? American Journal of Physiology-Heart and Circulatory Physiology 293(1), H8-H10 (2007)
30. Zulfiqar, U., Jurivich, D.A., Gao, W., Singer, D.H.: Relation of high heart rate variability to healthy longevity. The American Journal of Cardiology 105(8), 1181-1185 (2010)
31. Holzinger, A., Höller, M., Bloice, M., Urlesberger, B.: Typical problems with developing mobile applications for health care. In: ICE-B 2008, p. 235 (2008)
32. Ebert, P.S.: Smart radar chart. EP Patent 1,530,141 (May 11, 2005)
33. Morris, M.F.: Kiviat graphs: conventions and figures of merit. ACM SIGMETRICS Performance Evaluation Review 3(3), 2-8 (1974)
34. Saary, M.J.: Radar plots: a useful way for presenting multivariate health care data. Journal of Clinical Epidemiology 61(4), 311-317 (2008)
35. Alves, A., Silva, H., Lourenço, A., Fred, A.: BITalino: A Biosignal Acquisition System based on the Arduino. In: Proceeding of the 6th Conference on Bio-Inspired Systems and Signal Processing, BIOSIGNALS (2013)