Cross-bifrequency analysis of cardiorespiratory interactions at rest and zen meditation

Pei Chen Lo, Yi Zhe Wu

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

SOM (self-organizing map) is modified to encode the cross-bifrequency map that evaluates the cardiorespiratory interactions at Zen-meditation and resting states. The effectiveness of meditation on stress manipulation has aroused the attention of researchers. Cardiovascular and respiratory systems are very important in manipulating both mental and physical health in the stressful environment. Cross-bispectral analysis, applied to heart-rate (HR) and respiratory (RP) sequences, quantifies the degree of phase coupling between different spectral components of two signals. The resulted cross-bifrequency map reveals the property of quadratic coupling between two oscillators, the cardiac and respiratory systems. Conventional SOM weights equally each attribute of the input (feature) vector. However, some attributes of the input vector may play a more decisive role in recognition task. We accordingly propose the input-weighted SOM (IwSOM). According to the IwSOM classification, rest session of control group is characterized by a series of coupling frequencies of which the respiratory rate (RR) is in resonance with HR at 0.05 Hz. The Zen-meditation bifrequency exhibits strong resonance between HR and RP in the same low frequency range.

Original languageEnglish
Title of host publication2019 6th International Conference on Systems and Informatics, ICSAI 2019
EditorsWanqing Wu, Lipo Wang, Chunlei Ji, Niansheng Chen, Sun Qiang, Xiaoyong Song, Xin Wang
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1117-1120
Number of pages4
ISBN (Electronic)9781728152561
DOIs
StatePublished - Nov 2019
Event6th International Conference on Systems and Informatics, ICSAI 2019 - Shanghai, China
Duration: 2 Nov 20194 Nov 2019

Publication series

Name2019 6th International Conference on Systems and Informatics, ICSAI 2019

Conference

Conference6th International Conference on Systems and Informatics, ICSAI 2019
CountryChina
CityShanghai
Period2/11/194/11/19

Keywords

  • Bispectral analysis
  • Cardiorespiratory interaction
  • Electrocardiograph (ECG)
  • Quadratic coupling
  • Self-organization map (SOM)

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