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oai:recercat.cat:2117/272722026-02-07T10:16:19Zcom_2072_1033col_2072_452950

Respiratory rate detection by empirical mode decomposition method applied to diaphragm mechanomyographic signals Estrada, Luis Torres Cebrián, Abel Sarlabous Uranga, Leonardo Fiz Fernández, José Antonio Jané Campos, Raimon Universitat Politècnica de Catalunya. Departament d'Enginyeria de Sistemes, Automàtica i Informàtica Industrial Institut de Bioenginyeria de Catalunya Universitat Politècnica de Catalunya. BIOSPIN - Biomedical Signal Processing and Interpretation Àrees temàtiques de la UPC::Enginyeria biomèdica::Electrònica biomèdica Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Processament del senyal Àrees temàtiques de la UPC::Ciències de la salut::Medicina::Medicina interna Bioengineering Respiratory organs--Diseases--Research Lungs--Diseases, Obstructive Respiratory muscles Accelerometers Band-pass filters Biomedical measurement Empirical mode decomposition Estimation IP networks Muscles Biomedical measurement Medical signal processing Pneumodynamics Insuficiència respiratòria Respiració -- Mesurament Pulmons -- Malalties obstructives Non-invasive evaluation of respiratory activity is an area of increasing research interest, resulting in the appearance of new monitoring techniques, ones of these being based on the analysis of the diaphragm mechanomyographic (MMGdi) signal. The MMGdi signal can be decomposed into two parts: (1) a high frequency activity corresponding to lateral vibration of respiratory muscles, and (2) a low frequency activity related to excursion of the thoracic cage. The purpose of this study was to apply the empirical mode decomposition (EMD) method to obtain the low frequency of MMGdi signal and selecting the intrinsic mode functions related to the respiratory movement. With this intention, MMGdi signals were acquired from a healthy subject, during an incremental load respiratory test, by means of two capacitive accelerometers located at left and right sides of rib cage. Subsequently, both signals were combined to obtain a new signal which contains the contribution of both sides of thoracic cage. Respiratory rate (RR) measured from the mechanical activity (RRMmg) was compared with that measured from inspiratory pressure signal (RRP). Results showed a Pearson's correlation coefficient (r = 0.87) and a good agreement (mean bias = -0.21 with lower and upper limits of -2.33 and 1.89 breaths per minute, respectively) between RRmmg and RRP measurements. In conclusion, this study suggests that RR can be estimated using EMD for extracting respiratory movement from low mechanical activity, during an inspiratory test protocol. Peer Reviewed Postprint (published version) 2014 Conference report Estrada, L. [et al.]. Respiratory rate detection by empirical mode decomposition method applied to diaphragm mechanomyographic signals. A: International Conference of the IEEE Engineering in Medicine and Biology Society. "2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)". Chicago: 2014, p. 3204-3207. https://hdl.handle.net/2117/27272 10.1109/EMBC.2014.6944304 eng http://ieeexplore.ieee.org/xpls/icp.jsp?arnumber=6944304 Restricted access - publisher's policy 4 p. application/pdf