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Application of Holo-Hilbert Spectral Analysis on Human Breathing Movement with Isovolume Maneuver

Authors:
Jia-Hua Lee
Ya-Chen Chen
Tzu-Chien Hsiao

Keywords: Holo-Hilbert spectral analysis (HHSA); Empirical mode decomposition (EMD); Isovolume manuver (IVM)

Abstract:
Breathing is one of essential processes for human to inhale and exhale air for gas translation. People modulate respiratory frequency (fast or slow) and depth (deep or shallow) consciously or unconsciously. Different breathing patterns perform distinct breathing movement and physiological mechanism. Breathing movement could be described by observing thoracoabdominal movement which is a combination of cooperated muscle contraction from rib cage and abdomen. Isovolume maneuver (IVM) is a typical respiratory pattern with different respiratory frequency and depth. To investigate the effect of respiratory pattern, it is important to observe the transition state between different respiratory modulations. In 2016, Huang proposed Holo-Hilbert spectral analysis (HHSA) for identifying the joint frequency and amplitude modulation. To obtain the transition period, HHSA is adopted to investigate time-frequency modulation (Time-FM) and time-amplitude modulation (Time-AM) during IVM. Simulation and experiment results indicate that time-AM spectrum and FM-AM spectrum can identify the time-variate transition period between spontaneous breathing (0.3 Hz) and paced breathing (0.1 Hz). This achievement could be helpful for detecting transition state of respiration, especially during exercises or suffering cardiopulmonary disease for long-term care.

Pages: 80 to 84

Copyright: Copyright (c) IARIA, 2017

Publication date: March 19, 2017

Published in: conference

ISSN: 2308-4359

ISBN: 978-1-61208-540-1

Location: Nice, France

Dates: from March 19, 2017 to March 23, 2017