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Cultivating Chan with Calibration

Author

Listed:
  • Yuezhe Li

    (Department of Mathematics, Illinois State University, Normal, IL, USA)

  • Yuchou Chang

    (Department of Computer Science and Engineering Technology, University of Houston - Downtown, Houston, TX, USA)

  • Hong Lin

    (Department of Computer Science and Engineering Technology, University of Houston - Downtown, Houston, TX, USA)

Abstract

Chan is a superior mental training methodology derived from Buddhism and absorbed the wisdom of religious practitioners, philosophers, and scholars around Eastern Asia through thousands of years. As the primary way of Chan, meditation has clear effects in bringing practitioners' mind into a tranquil state and promoting both the mental and the physical health. The effect of Chan is measurable. The authors propose to establish a Chan science by applying modern experimental sciences to various models. In particular, machine learning methods have been used to classify brain states using electroencephalogram (EEG) data. The experimental results show potential in building brain state models for calibrating the routine of meditation. Through these studies, the authors believe they will be able to make Chan a beneficial practice to promote human's life in modern society.

Suggested Citation

  • Yuezhe Li & Yuchou Chang & Hong Lin, 2015. "Cultivating Chan with Calibration," International Journal of Reliable and Quality E-Healthcare (IJRQEH), IGI Global, vol. 4(4), pages 32-51, October.
  • Handle: RePEc:igg:jrqeh0:v:4:y:2015:i:4:p:32-51
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