Dynalets: A new representation of periodic biological signals and spectral data

J. Demongeot, A. Hamie, A. Glaria, C. Taramasco

Resultado de la investigación: Contribución a los tipos de informe/libroContribución a la conferenciarevisión exhaustiva

3 Citas (Scopus)

Resumen

The biological information coming from electro-physiologic signal sensors like ECG or molecular signal devices like mass spectrometry has to be compressed for an efficient medical use by clinicians or to retain only the pertinent explanatory information about the mechanisms at the origin of the recorded signal for the researchers in life sciences. When the signal is periodic in time and/or space, classical compression processes like Fourier and wavelets transforms give good results concerning the compression rate, but bring in general no supplementary information about the interactions between elements of the living system producing the studied signal. Here, we define a new transform called dynalet based on Liénard differential equations susceptible to model the mechanism that is the source of the signal and we propose to apply this new technique to real signals like ECG, pulse activity and protein spectra in mass spectrometry.

Idioma originalInglés
Título de la publicación alojadaProceedings - 27th International Conference on Advanced Information Networking and Applications Workshops, WAINA 2013
Páginas1525-1532
Número de páginas8
DOI
EstadoPublicada - 2013
Publicado de forma externa
Evento27th International Conference on Advanced Information Networking and Applications Workshops, WAINA 2013 - Barcelona, Espana
Duración: 25 mar. 201328 mar. 2013

Serie de la publicación

NombreProceedings - 27th International Conference on Advanced Information Networking and Applications Workshops, WAINA 2013

Conferencia

Conferencia27th International Conference on Advanced Information Networking and Applications Workshops, WAINA 2013
País/TerritorioEspana
CiudadBarcelona
Período25/03/1328/03/13

Áreas temáticas de ASJC Scopus

  • Redes de ordenadores y comunicaciones
  • Informática aplicada

Huella

Profundice en los temas de investigación de 'Dynalets: A new representation of periodic biological signals and spectral data'. En conjunto forman una huella única.

Citar esto