Keywords
Heart Rate Variability
Sustained Care
Students
Sustained Care
Students
How to Cite
Rodríguez-De Ávila, U. ., Campos-Braga, I. ., Paba-Barbosa, C. ., Leocadio-Miguel, M. A. ., & Fontanelle-Araujo, J. . (2019). The Variability of Heart Rate (HRV) as an Objective Measurement of Sustained Attention in the Classroom. Duazary, 16(2), 395–402. https://doi.org/10.21676/2389783X.3201
Abstract
The objective proposed in this report is to test the theoretical hypothesis that the time of attention sustained by students in the classroom can be measured by the autonomic response of the VFC. 10 subjects participated in the experiment. HRV was observed by means of the analysis of time series in segments of five (5) minutes until completing the observation window for simple moving averages of 60 minutes. The RR series were analyzed in the time, frequency and non-linear index domains.References
1. Nobre AC, Kastner S. The Oxford Handbook of Attention. 2014; Oxford: Oxford University Press
2. Yoo K, Rosenberg M, Hsu W, Zhang S, Li C, Scheinost D, Constable T, Chun M. Connectome-based predictive modeling of attention: Comparing different functional connectivity features and prediction methods across datasets. NeuroImage. 2018; 167 (2018): 11–22. https://doi.org/10.1016/j.neuroimage.2017.11.010
3. Rohr C, Arora A, Cho I, Katlariwala P, Dimond D, Dewey D, Bray S. Functional network integration and attention skills in young children. Developmental Cognitive Neuroscience. 2018; 30 (2018): 200–211. https://doi.org/10.1016/j.dcn.2018.03.007
4. Onley A, Risko E, D`mello S, Graesser A. Attention in Educational Contexts: The Role of the Learning Task in Guiding Attention. In The Handbook of Attention, eds Fawcett, J., Risko, E. & Kingstone, A. (London: Mit Press). 2015: 623-641.
5. Hernández A. Procesos Psicológicos Básicos. (1ra ed.). 2014. Mexico: Red Tercer Milenio.
6. Bunce D., Flens E. Neiles K. How Long Can Students Pay Attention in Class? A Study of Student Attention Decline Using Clickers. Journal of Chemical Education. 2010; 87(12): DOI:10.1021/ed100409p
7. Herrera J, Cid N, Pinilla C, Quezada S, Santana. P. Atención selectiva, atención sostenida, inhibición y flexibilidad cognitiva en niñas y adolescentes de 12 a 14 años con TDAH predominio de falta de atención. (1ra Ed). 2016; Concepción: Universidad Católica De La Santísima. http://repositoriodigital.ucsc.cl/bitstream/handle/25022009/1161/Nicole%20Cid%20Rivera.pdf?sequence=1&isAllowed=y
8. Benjamin LTJr. Lecturing. In S. F. Davis, W. Buskist (Eds.), The teaching of psychology: Essays in honor of Wilbert J. McKeachie and Charles L. Brewer (2002; pp. 57–67). Mahwah, NJ: Lawrence Erlbaum Associates, Inc.
9. McKeachie WJ, Svinicki M. McKeachie’s teaching tips: Strategies, research, and theory for college and university teachers (2006; 12th ed.). Boston: Houghton-Mifflin.
10. Wilson K, Korn JH. Attention During Lectures: Beyond Ten Minutes. Teaching of Psychology. 2007; 34(2): 84-89. https://doi.org/10.1080/00986280701291291
11. Chang YC, Huang SL. The influence of attention levels on psychophysiological responses. International Journal of Psychophysiology. 2012; 86(2012): 39–47. http://dx.doi.org/10.1016/j.ijpsycho.2012.09.001
12. Griffiths K, Quintana D, Hermens D, Spooner C, Tsang T, Clarke S, Kohn M. Sustained attention and heart rate variability in children andadolescents with ADHD. Biological Psychology. 2017; 124 (2017): 11–20. http://dx.doi.org/10.1016/j.biopsycho.2017.01.004
13. Shaffer F, Venner J. Heart rate variability anatomy and physiology. Biofeedback. 2013; 41(2013): 13–25. http://doi:10.5298/1081-5937-41.1.05
14. Aranda C, De la Cruz B, Naranjo J. Effects of different automatic filters on the analysis of heart rate variability with Kubios HRV software. Arch Med Deporte. 2017; 34(4): 196-200. http://archivosdemedicinadeldeporte.com/articulos/upload/or02_aranda_ingles.pdf
15. Porges SW. Orienting in a defensive world: mammalian modifications ofour evolutionary heritage: a polyvagal theory. Psychophysiology. 1995; 32 (1995), 301–318. http://dx.doi.org/10.1111/j.1469-8986.1995.tb01213.x.
16. Porges SW. The polyvagal theory: phylogenetic substrates of a social nervous system. International Journal of Psychophysiology. 2001; 42 (2001): 123-146. http://dx.doi.org/10.1016/s0167-8760(01)00162-3.
17. Porges SW. The Polyvagal Perspective. Biol Psychol. 2007; 74 (2): 116–143. http://doi.org/10.1016/j.biopsycho.2006.06.009.
18. Fonfría A, Poy R, Segarra P, López R, Esteller A, Ventura C, et al. Variabilidad de la tasa cardíaca (HRV) y regulación emocional. FÒRUM DE RECERCA. 2011; 16 (2011): 903-013. http://hdl.handle.net/10234/77387
19. Holzman J, Bridgett D. Heart rate variability indices as bio-markers of top-down self-regulatory mechanisms: A meta-analytic review. Neuroscience and Biobehavioral Reviews. 2017; 74 (2017): 233–255. http://doi:10.1016/j.neubiorev.2016.12.032
20. Capuana LJ, Dwyan J, Tays WJ, Elmers JL, Witherspoon R, Segalowitz S. Factors influencing the role of cardiac autonomic regulation in theservice of cognitive control. Biol. Psychol. 2015; 102 (2014): 88–97. http://dx.doi.org/10.1016/j.biopsycho.2014.07.015.
21. Yentes J, Hunt N, Schmid K, Kaipust J, McGrath D, Stergiou N. The Appropriate Use of Approximate Entropy and Sample Entropy with Short Data Sets". Journal Articles. 2013; Paper 44. http://doi:10.1007/s10439-012-0668-3
22. Pincus SM. Approximate entropy as a measure of system complexity. Proc Nati Acad Sci. 1991; 88 (1991): 2297-2301. https://www.ncbi.nlm.nih.gov/pubmed/11607165
23. Pincus SM, Gladstone IM, Ehrenkranz RA. Regularity statistic for medical data analysis. Journal of Clinical Monitoring. 1991; 7(4): 335-345. https://doi.org/10.1007/BF01619355
24. Dikker S, Wan L, Davidesco I, Kaggen L, Oostrik M, McClintock J., … et al. Brain-to-Brain Synchrony Tracks Real-World Dynamic Group Interactions in the Classroom. Current Biology. 2017; 27(2017): 1–6. http://dx.doi.org/10.1016/j.cub.2017.04.002
2. Yoo K, Rosenberg M, Hsu W, Zhang S, Li C, Scheinost D, Constable T, Chun M. Connectome-based predictive modeling of attention: Comparing different functional connectivity features and prediction methods across datasets. NeuroImage. 2018; 167 (2018): 11–22. https://doi.org/10.1016/j.neuroimage.2017.11.010
3. Rohr C, Arora A, Cho I, Katlariwala P, Dimond D, Dewey D, Bray S. Functional network integration and attention skills in young children. Developmental Cognitive Neuroscience. 2018; 30 (2018): 200–211. https://doi.org/10.1016/j.dcn.2018.03.007
4. Onley A, Risko E, D`mello S, Graesser A. Attention in Educational Contexts: The Role of the Learning Task in Guiding Attention. In The Handbook of Attention, eds Fawcett, J., Risko, E. & Kingstone, A. (London: Mit Press). 2015: 623-641.
5. Hernández A. Procesos Psicológicos Básicos. (1ra ed.). 2014. Mexico: Red Tercer Milenio.
6. Bunce D., Flens E. Neiles K. How Long Can Students Pay Attention in Class? A Study of Student Attention Decline Using Clickers. Journal of Chemical Education. 2010; 87(12): DOI:10.1021/ed100409p
7. Herrera J, Cid N, Pinilla C, Quezada S, Santana. P. Atención selectiva, atención sostenida, inhibición y flexibilidad cognitiva en niñas y adolescentes de 12 a 14 años con TDAH predominio de falta de atención. (1ra Ed). 2016; Concepción: Universidad Católica De La Santísima. http://repositoriodigital.ucsc.cl/bitstream/handle/25022009/1161/Nicole%20Cid%20Rivera.pdf?sequence=1&isAllowed=y
8. Benjamin LTJr. Lecturing. In S. F. Davis, W. Buskist (Eds.), The teaching of psychology: Essays in honor of Wilbert J. McKeachie and Charles L. Brewer (2002; pp. 57–67). Mahwah, NJ: Lawrence Erlbaum Associates, Inc.
9. McKeachie WJ, Svinicki M. McKeachie’s teaching tips: Strategies, research, and theory for college and university teachers (2006; 12th ed.). Boston: Houghton-Mifflin.
10. Wilson K, Korn JH. Attention During Lectures: Beyond Ten Minutes. Teaching of Psychology. 2007; 34(2): 84-89. https://doi.org/10.1080/00986280701291291
11. Chang YC, Huang SL. The influence of attention levels on psychophysiological responses. International Journal of Psychophysiology. 2012; 86(2012): 39–47. http://dx.doi.org/10.1016/j.ijpsycho.2012.09.001
12. Griffiths K, Quintana D, Hermens D, Spooner C, Tsang T, Clarke S, Kohn M. Sustained attention and heart rate variability in children andadolescents with ADHD. Biological Psychology. 2017; 124 (2017): 11–20. http://dx.doi.org/10.1016/j.biopsycho.2017.01.004
13. Shaffer F, Venner J. Heart rate variability anatomy and physiology. Biofeedback. 2013; 41(2013): 13–25. http://doi:10.5298/1081-5937-41.1.05
14. Aranda C, De la Cruz B, Naranjo J. Effects of different automatic filters on the analysis of heart rate variability with Kubios HRV software. Arch Med Deporte. 2017; 34(4): 196-200. http://archivosdemedicinadeldeporte.com/articulos/upload/or02_aranda_ingles.pdf
15. Porges SW. Orienting in a defensive world: mammalian modifications ofour evolutionary heritage: a polyvagal theory. Psychophysiology. 1995; 32 (1995), 301–318. http://dx.doi.org/10.1111/j.1469-8986.1995.tb01213.x.
16. Porges SW. The polyvagal theory: phylogenetic substrates of a social nervous system. International Journal of Psychophysiology. 2001; 42 (2001): 123-146. http://dx.doi.org/10.1016/s0167-8760(01)00162-3.
17. Porges SW. The Polyvagal Perspective. Biol Psychol. 2007; 74 (2): 116–143. http://doi.org/10.1016/j.biopsycho.2006.06.009.
18. Fonfría A, Poy R, Segarra P, López R, Esteller A, Ventura C, et al. Variabilidad de la tasa cardíaca (HRV) y regulación emocional. FÒRUM DE RECERCA. 2011; 16 (2011): 903-013. http://hdl.handle.net/10234/77387
19. Holzman J, Bridgett D. Heart rate variability indices as bio-markers of top-down self-regulatory mechanisms: A meta-analytic review. Neuroscience and Biobehavioral Reviews. 2017; 74 (2017): 233–255. http://doi:10.1016/j.neubiorev.2016.12.032
20. Capuana LJ, Dwyan J, Tays WJ, Elmers JL, Witherspoon R, Segalowitz S. Factors influencing the role of cardiac autonomic regulation in theservice of cognitive control. Biol. Psychol. 2015; 102 (2014): 88–97. http://dx.doi.org/10.1016/j.biopsycho.2014.07.015.
21. Yentes J, Hunt N, Schmid K, Kaipust J, McGrath D, Stergiou N. The Appropriate Use of Approximate Entropy and Sample Entropy with Short Data Sets". Journal Articles. 2013; Paper 44. http://doi:10.1007/s10439-012-0668-3
22. Pincus SM. Approximate entropy as a measure of system complexity. Proc Nati Acad Sci. 1991; 88 (1991): 2297-2301. https://www.ncbi.nlm.nih.gov/pubmed/11607165
23. Pincus SM, Gladstone IM, Ehrenkranz RA. Regularity statistic for medical data analysis. Journal of Clinical Monitoring. 1991; 7(4): 335-345. https://doi.org/10.1007/BF01619355
24. Dikker S, Wan L, Davidesco I, Kaggen L, Oostrik M, McClintock J., … et al. Brain-to-Brain Synchrony Tracks Real-World Dynamic Group Interactions in the Classroom. Current Biology. 2017; 27(2017): 1–6. http://dx.doi.org/10.1016/j.cub.2017.04.002
Downloads
Download data is not yet available.