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

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

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Citations (Scopus)

Abstract

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.

Original languageEnglish
Title of host publicationProceedings - 27th International Conference on Advanced Information Networking and Applications Workshops, WAINA 2013
Pages1525-1532
Number of pages8
DOIs
Publication statusPublished - 2013
Externally publishedYes
Event27th International Conference on Advanced Information Networking and Applications Workshops, WAINA 2013 - Barcelona, Spain
Duration: 25 Mar 201328 Mar 2013

Publication series

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

Conference

Conference27th International Conference on Advanced Information Networking and Applications Workshops, WAINA 2013
Country/TerritorySpain
CityBarcelona
Period25/03/1328/03/13

Keywords

  • Dynalets
  • ECG
  • Fourier transform
  • protein mass spectrum
  • Pulse signal
  • Signal Processing
  • Wavelets

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Computer Science Applications

Fingerprint

Dive into the research topics of 'Dynalets: A new representation of periodic biological signals and spectral data'. Together they form a unique fingerprint.

Cite this