標題: Towards estimation of respiratory muscle effort with respiratory inductance plethysmography signals and complementary ensemble empirical mode decomposition
作者: Chen, Ya-Chen
Hsiao, Tzu-Chien
分子醫學與生物工程研究所
資訊工程學系
生醫電子轉譯研究中心
智慧型仿生系統研究中心
Institute of Molecular Medicine and Bioengineering
Department of Computer Science
Biomedical Electronics Translational Research Center
Biomimetic Systems Research Center
關鍵字: Respiratory muscles;Respiratory inductance plethysmography;Complementary ensemble empirical mode decomposition;Abdominal breathing
公開日期: 1-Jul-2018
摘要: Respiratory inductance plethysmography (RIP) sensor is an inexpensive, non-invasive, easy-to-use transducer for collecting respiratory movement data. Studies have reported that the RIP signal's amplitude and frequency can be used to discriminate respiratory diseases. However, with the conventional approach of RIP data analysis, respiratory muscle effort cannot be estimated. In this paper, the estimation of the respiratory muscle effort through RIP signal was proposed. A complementary ensemble empirical mode decomposition method was used, to extract hidden signals from the RIP signals based on the frequency bands of the activities of different respiratory muscles. To validate the proposed method, an experiment to collect subjects' RIP signal under thoracic breathing (TB) and abdominal breathing (AB) was conducted. The experimental results for both the TB and AB indicate that the proposed method can be used to loosely estimate the activities of thoracic muscles, abdominal muscles, and diaphragm.
URI: http://dx.doi.org/10.1007/s11517-017-1766-z
http://hdl.handle.net/11536/145166
ISSN: 0140-0118
DOI: 10.1007/s11517-017-1766-z
期刊: MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING
Volume: 56
起始頁: 1293
結束頁: 1303
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