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: | 1-七月-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 |
顯示於類別: | 期刊論文 |