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Improvement in neural respiratory drive estimation from diaphragm electromyographic signals using fixed sample entropy

Autor
Estrada, L.; Torres, A.; Sarlabous, L.; Jane, R.
Tipus d'activitat
Article en revista
Revista
IEEE Journal of Biomedical and Health Informatics
Data de publicació
2016-03-01
Volum
20
Número
2
Pàgina inicial
476
Pàgina final
485
DOI
https://doi.org/10.1109/JBHI.2015.2398934 Obrir en finestra nova
Projecte finançador
Interpretación de datos biomédicos multimodales en trastornos del sueño y neurológicos, enfermedad pulmonar obstructiva, patología cardiaca e interacción cardiorespiratoria
Repositori
http://hdl.handle.net/2117/91485 Obrir en finestra nova
Resum
Diaphragm electromyography is a valuable technique for the recording of electrical activity of the diaphragm. The analysis of diaphragm electromyographic (EMGdi) signal amplitude is an alternative approach for the quantification of the neural respiratory drive (NRD). The EMGdi signal is, however, corrupted by electrocardiographic (ECG) activity, and this presence of cardiac activity can make the EMGdi interpretation more difficult. Traditionally, the EMGdi amplitude has been estimated using the ...
Citació
Estrada, L., Torres, A., Sarlabous, L., Jane, R. Improvement in neural respiratory drive estimation from diaphragm electromyographic signals using fixed sample entropy. "IEEE Journal of Biomedical and Health Informatics", 1 Març 2016, vol. 20, núm. 2, p. 476-485.
Paraules clau
APPROXIMATE ENTROPY, COMPLEXITY, COPD, Diaphragm muscle, ECG, EMG SIGNALS, FORCE, HEALTHY-SUBJECTS, MUSCLE FATIGUE, ONSET DETECTION, SURFACE ELECTROMYOGRAPHY, electromyography, fixed sample entropy (fSampEn), neural respiratory drive
Grup de recerca
BIOSPIN - Biomedical Signal Processing and Interpretation

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