ABS-MindHeart: An agent based simulator of the influence of mindfulness programs on heart rate variability

Journal of Computational Science

Volumn 19, Issue , 2017, Pages 11-20

  García Magariño, Iván ^a   Plaza, Inmaculada ^a  

^a UNIVERSITY OF ZARAGOZA   (Spain)

Author keywords

App; M health; Mindfulness; Multi agent system; Simulator

Indexed keywords

APPLICATION PROGRAMS; HEART; MULTI AGENT SYSTEMS;

AGENT BASED; HEALTH INDICATORS; HEART RATE VARIABILITY; MHEALTH; MINDFULNESS; MYOCARDIAL INFARCTION; ON-LINE TOOLS; OPEN SOURCES;

SIMULATORS;

EID: 85008449878     PISSN: 18777503     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jocs.2016.12.011     Document Type: Article

References (44)

1. [1] Aktaruzzaman, M., Sassi, R., Parametric estimation of sample entropy in heart rate variability analysis. Biomed. Signal Process. Control 14 (2014), 141–147.
2. [2] Arias, J., Walker, D.M., Additional evidence on the relationship between class size and student performance. J. Econ. Educ. 35:4 (2004), 311–329.
3. [3] Astin, J.A., Stress reduction through mindfulness meditation. Psychother. Psychosom. 66:2 (1997), 97–106.
4. [4] Baer, R.A., Mindfulness training as a clinical intervention: a conceptual and empirical review. Clin. Psychol. Sci. Pract. 10:2 (2003), 125–143.
5. [5] Chiesa, A., Malinowski, P., Mindfulness-based approaches: are they all the same?. J. Clin. Psychol. 67:4 (2011), 404–424.
6. [6] Chittaro, L., Vianello, A., Computer-supported mindfulness: evaluation of a mobile thought distancing application on naive meditators. Int. J. Hum. Comput. Stud. 72:3 (2014), 337–348.
7. [7] Chittaro, L., Vianello, A., Evaluation of a mobile mindfulness app distributed through on-line stores: a 4-week study. Int. J. Hum. Comput. Stud. 86 (2016), 63–80.
8. [8] Chittaro, L., Vianello, A., Mobile mindfulness and user's worry: a qualitative study of using a smartphone app for distancing from negative thoughts. Interact. Comput., 2016, 10.1093/iwc/iwv044.
9. [9] Delgado-Pastor, L.C., Perakakis, P., Subramanya, P., Telles, S., Vila, J., Mindfulness (Vipassana) meditation: effects on P3b event-related potential and heart rate variability. Int. J. Psychophysiol. 90:2 (2013), 207–214.
10. [10] Demarzo, M., Cebolla, A., Garcia-Campayo, J., The implementation of mindfulness in healthcare systems: a theoretical analysis. Gen. Hosp. Psychiatry 37:2 (2015), 166–171.
11. [11] Fallen, E.L., Kamath, M.V., Ghista, D.N., Fitchett, D., Spectral analysis of heart rate variability following human heart transplantation: evidence for functional reinnervation. J. Auton. Nerv. Syst. 23:3 (1988), 199–206.
12. [12] García-Magari no, I., Gómez-Rodríguez, A., González-Moreno, J.C., Palacios-Navarro, G., PEABS: a process for developing efficient agent-based simulators. Eng. Appl. Artif. Intell. 46 (2015), 104–112.
13. [13] García-Magari no, I., Medrano, C., Lombas, A.S., Barrasa, A., A hybrid approach with agent-based simulation and clustering for sociograms. Inf. Sci. 345 (2016), 81–95.
14. [14] García-Magari no, I., Plaza, I., ABS-MindHeart Website. 2016 URL http://webdiis.unizar.es/∼ivangmg/absmindheart/ (accessed 27.09.16).
15. [15] Gomez-Sanz, J.J., Fuentes, R., Pavón, J., García-Magari no, I., Ingenias development kit: a visual multi-agent system development environment. Proceedings of the 7th International Joint Conference on Autonomous Agents and Multiagent Systems: Demo Papers. International Foundation for Autonomous Agents and Multiagent Systems, 2008, ACM, 1675–1676.
16. [16] Goyal, M., Singh, S., Sibinga, E.M., Gould, N.F., Rowland-Seymour, A., Sharma, R., Berger, Z., Sleicher, D., Maron, D.D., Shihab, H.M., et al. Meditation programs for psychological stress and well-being: a systematic review and meta-analysis. JAMA Int. Med. 174:3 (2014), 357–368.
17. [17] Grossman, P., Niemann, L., Schmidt, S., Walach, H., Mindfulness-based stress reduction and health benefits: a meta-analysis. J. Psychosom. Res. 57:1 (2004), 35–43.
18. [18] Hudlicka, E., Virtual training and coaching of health behavior: example from mindfulness meditation training. Patient Educ. Couns. 92:2 (2013), 160–166.
19. [19] Kleiger, R.E., Miller, J.P., Bigger, J.T., Moss, A.J., Decreased heart rate variability and its association with increased mortality after acute myocardial infarction. Am. J. Cardiol. 59:4 (1987), 256–262.
20. [20] Koopman, J.J., van Bodegom, D., Maan, A.C., Li, Z., Ziem, J.B., Westendorp, R.G., Jukema, J.W., Heart rate variability, but not heart rate, is associated with handgrip strength and mortality in older Africans at very low cardiovascular risk: a population-based study. Int. J. Cardiol. 187 (2015), 559–561.
21. [21] Krygier, J.R., Heathers, J.A., Shahrestani, S., Abbott, M., Gross, J.J., Kemp, A.H., Mindfulness meditation, well-being, and heart rate variability: a preliminary investigation into the impact of intensive Vipassana meditation. Int. J. Psychophysiol. 89:3 (2013), 305–313.
22. [22] Liu, C., Zhu, Q., Holroyd, K.A., Seng, E.K., Status and trends of mobile-health applications for iOS devices: a developer's perspective. J. Syst. Softw. 84:11 (2011), 2022–2033.
23. [23] Mani, M., Kavanagh, D.J., Hides, L., Stoyanov, S.R., Review and evaluation of mindfulness-based iPhone apps. JMIR mHealth uHealth, 3(3), 2015, e82.
24. [24] Mann, S.L., Selby, E.A., Bates, M.E., Contrada, R.J., Integrating affective and cognitive correlates of heart rate variability: a structural equation modeling approach. Int. J. Psychophysiol. 98:1 (2015), 76–86.
25. [25] Martínez-Pérez, B., de la Torre-Díez, I., López-Coronado, M., Mobile health applications for the most prevalent conditions by the world health organization: review and analysis. J. Med. Internet Res., 15(6), 2013, e120.
26. [26] Meeus, M., Goubert, D., De Backer, F., Struyf, F., Hermans, L., Coppieters, I., De Wandele, I., Da Silva, H., Calders, P., Heart rate variability in patients with fibromyalgia and patients with chronic fatigue syndrome: a systematic review. Semin. Arthritis Rheum. 43:2 (2013), 279–287.
27. [27] Nijjar, P.S., Puppala, V.K., Dickinson, O., Duval, S., Duprez, D., Kreitzer, M.J., Benditt, D.G., Modulation of the autonomic nervous system assessed through heart rate variability by a mindfulness based stress reduction program. Int. J. Cardiol. 2:177 (2014), 557–559.
28. [28] Ortega, A., Plaza, I., Medrano, C., De-Marzo, M., García-Campayo, J., Mobile android application to help with mindfulness practice. Glob. Telemed. eHealth Updates Knowl. Resour. 8 (2015), 432–435.
29. [29] Peressutti, C., Martín-González, J.M., García-Manso, J.M., Does mindfulness meditation shift the cardiac autonomic nervous system to a highly orderly operational state?. Int. J. Cardiol. 154:2 (2012), 210–212.
30. [30] Plaza, I., Demarzo, M.M.P., Herrera-Mercadal, P., García-Campayo, J., Mindfulness-based mobile applications: literature review and analysis of current features. JMIR mHealth uHealth, 1(2), 2013, e24.
31. [31] Plaza, I., Herrera-Mercadal, P., García Campayo, J., Ortega, A., Piva Demarzo, M., Prototype of a mobile android app to enhance mindfulness practice. Proceedings of IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI), 2014 Available online from http://emb.citengine.com/event/bhi-2014/paper-details?pdID=1 (accessed 27.09.16).
32. [32] Saus, E.-R., Johnsen, B.H., Eid, J., Thayer, J.F., Who benefits from simulator training: personality and heart rate variability in relation to situation awareness during navigation training. Comput. Hum. Behav. 28:4 (2012), 1262–1268.
33. [33] Schroeder, E.B., Whitsel, E.A., Evans, G.W., Prineas, R.J., Chambless, L.E., Heiss, G., Repeatability of heart rate variability measures. J. Electrocardiol. 37:3 (2004), 163–172.
34. [34] Sedlmeier, P., Eberth, J., Schwarz, M., Zimmermann, D., Haarig, F., Jaeger, S., Kunze, S., The psychological effects of meditation: a meta-analysis. Psychol. Bull., 138(6), 2012, 1139.
35. [35] Silva, B.M., Rodrigues, J.J., de la Torre Díez, I., López-Coronado, M., Saleem, K., Mobile-health: a review of current state in 2015. J. Biomed. Inform. 56 (2015), 265–272.
36. [36] Silva, R.R., Goroso, D.G., Bissaco, M.A., MioLab: simulator for cardiac myocyte contractile force of rat based on the dynamics of calcium. Med. Eng. Phys. 35:3 (2013), 338–349.
37. [37] Stanley, S., Intimate distances: William James’ introspection, Buddhist mindfulness, and experiential inquiry. New Ideas Psychol. 30:2 (2012), 201–211.
38. [38] Stephenson, D., Lamb, G., Stephenson, G., Events of the excitation–contraction–relaxation (E–C–R) cycle in fast-and slow-twitch mammalian muscle fibres relevant to muscle fatigue. Acta Physiol. Scand. 162:3 (1998), 229–245.
39. [39] Takase, B., Kurita, A., Noritake, M., Uehata, A., Maruyama, T., Nagayoshi, H., Nishioka, T., Mizuno, K., Nakamura, H., Heart rate variability in patients with diabetes mellitus, ischemic heart disease, and congestive heart failure. J. Electrocardiol. 25:2 (1992), 79–88.
40. [40] Thieme, A., Wallace, J., Johnson, P., McCarthy, J., Lindley, S., Wright, P., Olivier, P., Meyer, T.D., Design to promote mindfulness practice and sense of self for vulnerable women in secure hospital services. Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, 2013, ACM, 2647–2656.
41. [41] Tozman, T., Magdas, E.S., MacDougall, H.G., Vollmeyer, R., Understanding the psychophysiology of flow: a driving simulator experiment to investigate the relationship between flow and heart rate variability. Comput. Hum. Behav. 52 (2015), 408–418.
42. [42] Vidyarthi, J., Riecke, B.E., Interactively mediating experiences of mindfulness meditation. Int. J. Hum. Comput. Stud. 72:8 (2014), 674–688.
43. [43] Vidyarthi, J., Riecke, B.E., Gromala, D., Sonic Cradle: designing for an immersive experience of meditation by connecting respiration to music. Proceedings of the designing interactive systems conference, 2012, ACM, 408–417.
44. [44] Yu, M.-C., Wu, H., Lee, M.-S., Hung, Y.-P., Multimedia-assisted breathwalk-aware system. IEEE Trans. Biomed. Eng. 59:12 (2012), 3276–3282.