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Movie-Making of Spatiotemporal Dynamics in Complex Systems

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Encyclopedia of Computer Graphics and Games

Synonyms

The art of electroencephalography

Definitions

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.

Biofeedback systems are computerized devices that provide information about the activity of physiological measures, such as heart rate variability, in order to learn how to modulate at will specific body functions to improve energy management, health, self-mastery, and general well-being. Biofeedback systems may include EMG machines, ECG, heart rate variability, respiration, and EEG among others.

Heart rate variability (HRV) is a measure of the patterns prescribed by inter-beat intervals of time and the functioning of the heart. HRVhas been described...

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References

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Authors and Affiliations

  1. The Embassy of Peace, Whitianga, New Zealand

    Jeffery Jonathan ישוע (Joshua) Davis

  2. CLION, Department Mathematical Sciences, University of Memphis, Memphis, TN, USA

    Robert Kozma

Authors
  1. Jeffery Jonathan ישוע (Joshua) Davis
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  2. Robert Kozma
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Corresponding author

Correspondence to Jeffery Jonathan ישוע (Joshua) Davis .

Editor information

Editors and Affiliations

  1. Applied Computer Science Department, Woodbury University Applied Computer Science Department, Burbank, California, USA

    Newton Lee

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Davis, J.J.י.(., Kozma, R. (2018). Movie-Making of Spatiotemporal Dynamics in Complex Systems. In: Lee, N. (eds) Encyclopedia of Computer Graphics and Games. Springer, Cham. https://doi.org/10.1007/978-3-319-08234-9_287-1

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  • DOI: https://doi.org/10.1007/978-3-319-08234-9_287-1

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-08234-9

  • Online ISBN: 978-3-319-08234-9

  • eBook Packages: Springer Reference Computer SciencesReference Module Computer Science and Engineering

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