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Evidence towards improved estimation of respiratory muscle effort from diaphragm mechanomyographic signals with cardiac vibration interference using sample entropy with fixed tolerance values

Autor
Sarlabous, L.; Torres, A.; Fiz, J.; Jane, R.
Tipus d'activitat
Article en revista
Revista
PloS one
Data de publicació
2014-02-19
Volum
9
Número
2
Pàgina inicial
e88902-1
Pàgina final
e88902-10
DOI
https://doi.org/10.1371/journal.pone.0088902 Obrir en finestra nova
Projecte finançador
Ajuts destinats a universitats i centres de recerca per a la contractació de personal investigador novell (FI-DGR 2010)
Interpretación de datos biomédicos multimodales en trastornos del sueño y neurológicos, enfermedad pulmonar obstructiva, patología cardiaca e interacción cardiorespiratoria
Repositori
http://hdl.handle.net/2117/23702 Obrir en finestra nova
URL
http://www.plosone.org/article/info%3Adoi%2F10.1371%2Fjournal.pone.0088902 Obrir en finestra nova
Resum
The analysis of amplitude parameters of the diaphragm mechanomyographic (MMGdi) signal is a non-invasive technique to assess respiratory muscle effort and to detect and quantify the severity of respiratory muscle weakness. The amplitude of the MMGdi signal is usually evaluated using the average rectified value or the root mean square of the signal. However, these estimations are greatly affected by the presence of cardiac vibration or mechanocardiographic (MCG) noise. In this study, we present a...
Citació
Sarlabous, L. [et al.]. Evidence towards improved estimation of respiratory muscle effort from diaphragm mechanomyographic signals with cardiac vibration interference using sample entropy with fixed tolerance values. "PLoS one", 19 Febrer 2014, vol. 9, núm. 2, p. e88902-1-e88902-10.
Paraules clau
EMTREE medical terms: article, approximate entropy, breathing muscle, calculation, complexity, contraction, diaphragm, diaphragm mechanomyographic signal, entropy, fSampEn, fatigue, force, heart vibration, humans, inspiratory capacity, mathematical parameters, muscle action potential, seismocardiography, signal noise ratio, spikes, stimulation, surface mechanomyogram, vibration
Grup de recerca
BIOSPIN - Biomedical Signal Processing and Interpretation

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