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Automatic differentiation of normal and continuous adventitious respiratory sounds using ensemble empirical mode decomposition and instantaneous frequency

Autor
Lozano, M.; Fiz, J.; 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
486
Pàgina final
497
DOI
https://doi.org/10.1109/JBHI.2015.2396636 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/2117/99415 Obrir en finestra nova
Resum
Differentiating normal from adventitious respiratory sounds (RS) is a major challenge in the diagnosis of pulmonary diseases. Particularly, continuous adventitious sounds (CAS) are of clinical interest because they reflect the severity of certain diseases. This study presents a new classifier that automatically distinguishes normal sounds from CAS. It is based on the multiscale analysis of instantaneous frequency (IF) and envelope (IE) calculated after ensemble empirical mode decomposition (EEMD...
Citació
Lozano, M., Fiz, J., Jane, R. Automatic differentiation of normal and continuous adventitious respiratory sounds using ensemble empirical mode decomposition and instantaneous frequency. "IEEE Journal of Biomedical and Health Informatics", 1 Març 2016, vol. 20, núm. 2, p. 486-497.
Paraules clau
Asthma, Classification, Forced exhalation, Fundamentals, Lung sounds, Spectrum, Wheezes, continuous adventitious sounds (CAS), ensemble empirical mode decomposition (EEMD), instantaneous frequency (IF), respiratory sounds (RS), wheezes
Grup de recerca
BIOSPIN - Biomedical Signal Processing and Interpretation

Participants

  • Lozano, Manuel  (autor)
  • Fiz Fernández, José Antonio  (autor)
  • Jane Campos, Raimon  (autor)

Arxius