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Respiratory rate detection by empirical mode decomposition method applied to diaphragm mechanomyographic signals
Estrada, Luis; Torres Cebrián, Abel; Sarlabous, Leonardo; Fiz Fernández, José Antonio; Jané Campos, Raimon
Universitat Politècnica de Catalunya. Departament d'Enginyeria de Sistemes, Automàtica i Informàtica Industrial; Universitat Politècnica de Catalunya. BIOSPIN - Biomedical Signal Processing and Interpretation
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
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
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