Respiratory rate detection by empirical mode decomposition method applied to diaphragm mechanomyographic signals
Visualitza/Obre
06944304.pdf (1006,Kb) (Accés restringit)
Sol·licita una còpia a l'autor
Què és aquest botó?
Aquest botó permet demanar una còpia d'un document restringit a l'autor. Es mostra quan:
- Disposem del correu electrònic de l'autor
- El document té una mida inferior a 20 Mb
- Es tracta d'un document d'accés restringit per decisió de l'autor o d'un document d'accés restringit per política de l'editorial
Cita com:
hdl:2117/27272
Tipus de documentText en actes de congrés
Data publicació2014
Condicions d'accésAccés restringit per política de l'editorial
Tots els drets reservats. Aquesta obra està protegida pels drets de propietat intel·lectual i
industrial corresponents. Sense perjudici de les exempcions legals existents, queda prohibida la seva
reproducció, distribució, comunicació pública o transformació sense l'autorització del titular dels drets
Abstract
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.
CitacióEstrada, 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.
Versió de l'editorhttp://ieeexplore.ieee.org/xpls/icp.jsp?arnumber=6944304
Col·leccions
- Departament d'Enginyeria de Sistemes, Automàtica i Informàtica Industrial - Ponències/Comunicacions de congressos [1.500]
- BIOSPIN - Biomedical Signal Processing and Interpretation - Ponències/Comunicacions de congressos [70]
- IBEC - Institute for Bioengineering of Catalonia - Ponències/Comunicacions de congressos [75]
Fitxers | Descripció | Mida | Format | Visualitza |
---|---|---|---|---|
06944304.pdf | 1006,Kb | Accés restringit |