Meditation eeg interpretation based on novel fuzzy-merging strategies and wavelet features
TLDR
The running gray-scale chart, derived by extracting, clustering, and coding the EEG features, reveals five different meditation scenarios differing from those of the controlled subjects.Abstract:
As the advantages of meditation have been outlined literally, scientific exploration of the meditation phenomena becomes significant. Meditation EEG may provide an access to the mental states beyond normal consciousness. It is the first attempt to score the meditation course by EEG. Wavelet analysis and fuzzy c-means (FCM) are applied in the automatic interpretation algorithm. However, FCM applied straightforward to quantitative feature vectors often results in an over-trifling interpretation. As a consequence, this paper presents novel cluster-managing strategies for achieving an interpretation closer to the result of naked-eye examination. The running gray-scale chart, derived by extracting, clustering, and coding the EEG features, reveals five different meditation scenarios differing from those of the controlled subjects.read more
Citations
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Journal ArticleDOI
EEG Signal Analysis: A Survey
TL;DR: The effect of different events on the EEG signal, and different signal processing methods used to extract the hidden information from the signal are discussed in detail.
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Decreased electrophysiological activity represents the conscious state of emptiness in meditation
TL;DR: The findings indicate that a conscious state of TE reached by experienced meditators is characterized by reduced high-frequency brain processing with simultaneous reduction of the low frequencies, which suggests that such a state of meditative conscious awareness might be different from higher cognitive and mentally focused states but also from states of sleep and drowsiness.
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Physiological effects of transcendental meditation
TL;DR: The results seem to distinguish the state produced by transcendental meditation from commonly encountered states of consciousness and suggest that it may have practical applications.
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EEG based interpretation of human brain activity during yoga and meditation using machine learning: A systematic review.
TL;DR: In this paper, a review of interpretation methods of Brain signals (EEG)) EEG during yoga and meditation was provided. But, the focus of the review was on the machine learning strategies applied for the interpretation of brain waves concerning physical and mental health.
References
More filters
Journal ArticleDOI
A theory for multiresolution signal decomposition: the wavelet representation
TL;DR: In this paper, it is shown that the difference of information between the approximation of a signal at the resolutions 2/sup j+1/ and 2 /sup j/ (where j is an integer) can be extracted by decomposing this signal on a wavelet orthonormal basis of L/sup 2/(R/sup n/), the vector space of measurable, square-integrable n-dimensional functions.
Book
Pattern Recognition with Fuzzy Objective Function Algorithms
TL;DR: Books, as a source that may involve the facts, opinion, literature, religion, and many others are the great friends to join with, becomes what you need to get.
Journal ArticleDOI
Human anterior and frontal midline theta and lower alpha reflect emotionally positive state and internalized attention: high-resolution EEG investigation of meditation.
L.I. Aftanas,S.A. Golocheikine +1 more
TL;DR: This work proposes selective associations of theta and alpha oscillating networks activity with states of internalized attention and positive emotional experience in brain regions involved in meditative states.
Journal ArticleDOI
Physiological Effects of Transcendental Meditation
TL;DR: Oxygen consumption, heart rate, skin resistance, and electroenceph-alograph measurements were recorded before, during, and after subjects practiced a technique called transcendental meditation as mentioned in this paper.
BookDOI
Wavelets in Medicine and Biology
Akram Aldroubi,Michael Unser +1 more
TL;DR: This paper presents a meta-modelling framework for estimating the Fractal Exponent of Point Processes in Biological Systems Using Wavelet- and Fourier-Transform Methods and some examples of this work can be found in M. Aldroubi and M. Unser (eds), The Wavelet Transform: Theory and Implementation.