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Stress Reduction, Relaxation, and Meditative States Using Psychophysiological Measurements Based on Biofeedback Systems via HRV and EEG

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Encyclopedia of Computer Graphics and Games

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Psychophysiological coherence and cognition of inner peace and harmony

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Electroencephalography, or EEG, is an electrophysiological monitoring device comprised of multiple electrodes (small, flat, metal discs with thin wires) placed on the scalp that send signals to a computer in order to noninvasively measure and record electrical activity on the scalp. EEG can be used in cognitive research or to diagnose conditions such as epilepsy and sleep disorders.

Heart rate variability (HRV) is a measure of the patterns prescribed by interbeat intervals of time and the functioning of the heart. HRV has been described as a psychophysiological biomarker to assess coherent or stressful states associated with respiration, cognition, and emotions (McCraty et al. 2009).

Psychophysiological coherence has been widely described as a state conducive to optimal cognitive performance and improved health (McCraty et al. 2009) that has also been associated to inner balance, peace, and...

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References

  • Apple Inc.: Mission Me. iTunes App Store. https://itunes.apple.com/us/app/mission-me/id1290528489?mt=8 (2018). Accessed 15 Dec 2018

  • Austin, J.H.: Zen and the Brain: Toward an Understanding of Meditation and Consciousness. MIT Press, Cambridge (1999)

    Google Scholar 

  • Baars, B.J.: A scientific approach to silent consciousness. Front. Psychol. 4(678), 1–3 (2013). https://doi.org/10.3389/fpsyg.2013.00678

    Article  Google Scholar 

  • Buzsáki, G.: Rhythms of the Brain. Oxford University Press, New York (2006)

    Book  Google Scholar 

  • Childre, D., Cryer, B.: From Chaos to Coherence – The Power to Change Performance (revised ed.). HeartMath LLC, USA (2008)

    Google Scholar 

  • Childre, D., McCraty, R.: Psychophysiological correlates of spiritual experience. Biofeedback. 29(4), 13–17 (2001)

    Google Scholar 

  • Crivellato, E., Ribatti, D.: Soul, mind, brain: Greek philosophy and the birth of neuroscience. Brain Res. Bull. 71(4), 327–336 (2007). https://doi.org/10.1016/j.brainresbull.2006.09.020

    Article  Google Scholar 

  • Davis, J.J.J.: The brain of Melchizedek: a cognitive neuroscience approach to spirituality (Thesis, Master of Science). University of Otago, Dunedin (2009). https://ourarchive.otago.ac.nz/handle/10523/1855

    Google Scholar 

  • Davis, J.J., Kozma, R.: Analysis of phase relationship in ECoG using Hilbert transform and information theoretic measures. Paper Presented at the 2012 International Joint Conference on Neural Networks (IJCNN), Brisbane, 10–15 June 2012

    Google Scholar 

  • Davis, J.J., Kozma, R.: Creation of knowledge & meaning manifested via cortical singularities in cognition. Towards a methodology to understand intentionality and critical behavior in neural correlates of awareness. Paper Presented at the 2013 IEEE Symposium Series on Computational Intelligence (SSCI) Cognitive Algorithms, Mind, and Brain (CCMB), Singapore, 16–19 Apr 2013

    Google Scholar 

  • Davis, J.J., Kozma, R.: Sensitivity analysis of Hilbert transform with band-pass FIR filters for robust brain computer interface. Paper Presented at the 2014 IEEE Symposium on Computational Intelligence in Brain Computer Interfaces (CIBCI), Orlando, 9–12 Dec 2014

    Google Scholar 

  • Davis, J.J., Kozma, R.: Movie-making of spatiotemporal dynamics in complex systems. In: Lee, N. (ed.) Encyclopedia of Computer Graphics and Games. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-08234-9_287-1

    Chapter  Google Scholar 

  • Davis, J.J.J., Kozma, R.: Visualization of human cognitive states monitored by high-density EEG arrays. Proc. Comput. Sci. 144, 219–231 (2018a). https://doi.org/10.1016/j.procs.2018.10.522

    Article  Google Scholar 

  • Davis, J.J.J., Gillett, G., Kozma, R.: Revisiting Brentano on consciousness: striking correlations with electrocorticogram findings about the action-perception cycle and the emergence of knowledge and meaning. Mind Matter. 13(1), 45–69 (2015)

    Google Scholar 

  • Davis, J.J.J., Kozma, R., Freeman, W.J.: The art of encephalography to understand and discriminate higher cognitive functions visualizing big data imaging using brain dynamics movies. Proc. Comput. Sci. 53(1), 56–63 (2015a). https://doi.org/10.1016/j.procs.2015.07.279

    Article  Google Scholar 

  • Davis, J.J., Kozma, R., Lin, C.-T., Freeman, W.J.: Spatio-temporal EEG pattern extraction using high-density scalp arrays. Paper Presented at the 2016 International Joint Conference on Neural Networks (IJCNN), Vancouver, 24–29 July 2016

    Google Scholar 

  • Davis, J.J.J., Lin, C.-T., Gillett, G., Kozma, R.: An integrative approach to analyze EEG signals and human brain dynamics in different cognitive states. J. Artif. Intell. Soft Comput. Res. 7(4), 287–299 (2017). https://doi.org/10.1515/jaiscr-2017-0020

    Article  Google Scholar 

  • Davis, J.J.J., Schübeler, F. Kozma R.: Heart rate variability dynamics and its implications for individual psychophysiological coherence in community dynamics while in meditation. Center for Open Science. https://osf.io/vxjwc/ (2018). Accessed 15 Dec 2018

  • Del Cul, A., Baillet, S., Dehaene, S.: Brain dynamics underlying the nonlinear threshold for access to consciousness. PLoS Biol. 5(10), 2408–2423 (2007). https://doi.org/10.1371/journal.pbio.0050260

    Article  Google Scholar 

  • Firstbeat Technologies Ltd.: Firstbeat Bodyguard 2 Guide. https://www.firstbeat.com/app/uploads/2015/10/150811_Bodyguard2_Guide_ENG.pdf (2017). Accessed 15 Dec 2018

  • Freeman, W.J., Quiroga, R.Q.: Imaging Brain Function with EEG: Advanced Temporal and Spatial Analysis of Electroencephalographic Signals. Springer, New York (2013)

    Book  Google Scholar 

  • Freeman, W.J., Rogers, L.J., Holmes, M.D., Silbergeld, D.L.: Spatial spectral analysis of human electrocorticograms including the alpha and gamma bands. J. Neurosci. Methods. 95(2), 111–121 (2000). https://doi.org/10.1016/S0165-0270(99)00160-0

    Article  Google Scholar 

  • Freeman, W.J., Holmes, M.D., Burke, B.C., Vanhatalo, S.: Spatial spectra of scalp EEG and EMG from awake humans. Clin. Neurophysiol. 114(6), 1053–1068 (2003). https://doi.org/10.1016/S1388-2457(03)00045-2

    Article  Google Scholar 

  • HeartMath LLC: Welcome to emWave® https://bio-medical.com/media/support/emwave_pro-tour.pdf (2016). Accessed 15 Dec 2018

  • Heck, D.H., McAfee, S.S., Liu, Y., Babajani-Feremi, A., Rezaie, R., Freeman, W.J., Wheless, J.W., Papanicolaou, A.C., Ruszinkó, M., Sokolov, Y., Kozma, R.: Breathing as a fundamental rhythm of brain function. Front. Neural Circuits. 10(115), 1–8 (2017). https://doi.org/10.3389/fncir.2016.00115

    Article  Google Scholar 

  • Kasabov, N., Capecci, E.: Spiking neural network methodology for modelling, classification and understanding of EEG spatio-temporal data measuring cognitive processes. Inform. Sci. 294, 565–575 (2015). https://doi.org/10.1016/j.ins.2014.06.028

    Article  MathSciNet  Google Scholar 

  • Kasamatsu, A., Hirai, T.: An electroencephalographic study on the zen meditation (Zazen). Folia Psychiatr. Neurol. Jpn. 20(4), 315–336 (1966). https://doi.org/10.1111/j.1440-1819.1966.tb02646.x

    Article  Google Scholar 

  • Kim, D.-K., Lee, K.-M., Kim, J., Whang, M.-C., Kang, S.W.: Dynamic correlations between heart and brain rhythm during autogenic meditation. Front. Hum. Neurosci. 7(414), 1–8 (2013). https://doi.org/10.3389/fnhum.2013.00414

    Article  Google Scholar 

  • Kozma, R., Davis, J.J.J.: Why do phase transitions matter in minds? J. Conscious. Stud. 25(1–2), 131–150 (2018)

    Google Scholar 

  • Kozma, R., Freeman, W.J.: Classification of EEG patterns using nonlinear dynamics and identifying chaotic phase transitions. Neurocomputing. 44–46, 1107–1112 (2002)

    Article  Google Scholar 

  • Kozma, R., Davis, J.J., Freeman, W.J.: Synchronized minima in ECoG power at frequencies between Beta-gamma oscillations disclose cortical singularities in cognition. J. Neurosci. Neuroeng. 1(1), 13–23 (2012)

    Article  Google Scholar 

  • Kozma, R., Freeman, W.J., Davis, J.J., Lin, C.-T.: Model-based measurement of EEG data from linear high-density array. Poster Presentation at SfN Annual Meeting, Washington, 15–19 Nov 2014

    Google Scholar 

  • Lazar, S.: Publications. Harvard University. https://scholar.harvard.edu/sara_lazar/publications (2018). Accessed 15 Dec 2018

  • McCraty, R.: Heart rhythm coherence – an emerging area of biofeedback. Biofeedback. 30(1), 23–25 (2002)

    Google Scholar 

  • McCraty, R.: New frontiers in heart rate variability and social coherence research: techniques, technologies, and implications for improving group dynamics and outcomes. Front. Public Health. 5(267), 1–13 (2017). https://doi.org/10.3389/fpubh.2017.00267

    Article  Google Scholar 

  • McCraty, R., Childre, D.: Coherence: bridging personal, social, and global health. Altern. Ther. Health Med. 16(4), 10–24 (2010)

    Google Scholar 

  • McCraty, R., Tomasino, D.: Heart rhythm coherence feedback: a new tool for stress reduction, rehabilitation, and performance enhancement. Paper Presented at the First Baltic Forum on Neuronal Regulation and Biofeedback, Riga, 2–5 Nov 2004

    Google Scholar 

  • McCraty, R., Atkinson, M., Tomasino, D.: Science of the Heart: Exploring the Role of the Heart in Human Performance. Institute of HeartMath, Boulder Creek (2001)

    Google Scholar 

  • McCraty, R., Atkinson, M., Tomasino, D., Bradley, R.T.: The Coherent Heart: Heart–Brain Interactions, Psychophysiological Coherence, and the Emergence of System-Wide Order. Institute of HeartMath, Boulder Creek (2006)

    Google Scholar 

  • McCraty, R., Atkinson, M., Tomasino, D., Bradley, R.T.: The coherent heart: heart–brain interactions, psychophysiological coherence, and the emergence of system-wide order. Integral Rev. 5(2), 10–115 (2009)

    Google Scholar 

  • Pribram, K.H.: The FORM Within: My Point of View. Prospecta Press, Westport (2013)

    Google Scholar 

  • Schwartz, J.M., Stapp, H.P., Beauregard, M.: Quantum physics in neuroscience and psychology: a neurophysical model of mind-brain interaction. Phil. Trans. R. Soc. B. 360(1458), 1309–1327 (2005). https://doi.org/10.1098/rstb.2004.1598

    Article  Google Scholar 

  • Seth, A.K., Dienes, Z., Cleeremans, A., Overgaard, M., Pessoa, L.: Measuring consciousness: relating behavioral and neurophysiological approaches. Trends Cogn. Sci. 12(8), 314–321 (2008). https://doi.org/10.1016/j.tics.2008.04.008

    Article  Google Scholar 

  • van der Eijk, P.: Body and spirit in Greek medicine and philosophy. StudyLib. https://studylib.net/doc/8695304/body-and-spirit-in-greek-medicine-and-philosophy (2007). Accessed 15 Dec 2018

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Correspondence to Jeffery Jonathan Joshua (ישוע) Davis .

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Davis, J.J.J.(., Kozma, R., Schübeler, F. (2019). Stress Reduction, Relaxation, and Meditative States Using Psychophysiological Measurements Based on Biofeedback Systems via HRV and EEG. In: Lee, N. (eds) Encyclopedia of Computer Graphics and Games. Springer, Cham. https://doi.org/10.1007/978-3-319-08234-9_330-1

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  • DOI: https://doi.org/10.1007/978-3-319-08234-9_330-1

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