Cultivating Chan with Calibration

Yuezhe Li, Yuchou Chang and Hong Lin
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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

International Journal of Reliable and Quality E-Healthcare (IJRQEH), 2015, vol. 4, issue 4, 32-51

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.

Date: 2015
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