Title :
Dynalets: A New Representation of Periodic Biological Signals and Spectral Data
Author :
Demongeot, Jacques ; Hamie, A. ; Glaria, A. ; Taramasco, C.
Author_Institution :
Fac. of Med., Univ. J. Fourier Grenoble, La Tronche, France
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.
Keywords :
Fourier transforms; biosensors; differential equations; electrocardiography; mass spectroscopy; medical signal processing; proteins; signal representation; wavelet transforms; ECG; Fourier transforms; Liénard differential equation; compression process; compression rate; dynalets; electro-physiologic signal sensor; life science; mass spectrometry; molecular signal device; periodic biological signal representation; protein spectra; pulse activity; spectral data; wavelets transforms; Approximation methods; Electrocardiography; Harmonic analysis; Limit-cycles; Oscillators; Wavelet transforms; Dynalets; ECG; Fourier transform; Pulse signal; Signal Processing; Wavelets; protein mass spectrum;
Conference_Titel :
Advanced Information Networking and Applications Workshops (WAINA), 2013 27th International Conference on
Conference_Location :
Barcelona
Print_ISBN :
978-1-4673-6239-9
Electronic_ISBN :
978-0-7695-4952-1
DOI :
10.1109/WAINA.2013.174