A microcontroller based system has been developed in order to characterize, in real time, magnetoencephalographic (MEG) signals. The signal are analyzed by using nonlinear data analysis method to extract the d∝ parameter. The signals under consideration are acquired on the whole-head MEG acquisition system and are analyzed in order to characterize spatiotemporal pattern. The microcontroller based implementation represents a low cost stand-alone solution for the analysis of any physiological signals (MEG, EEG, ECG, etc) suitable for first aid approaches and early diagnostics. The real time feature of the proposed approach could thus allow, in the future, a clinical applications of such methodology

A Microcontroller Based Approach for Nonlinear Characterization of Magnetoencephalographic Data

XIBILIA, Maria Gabriella
2006

Abstract

A microcontroller based system has been developed in order to characterize, in real time, magnetoencephalographic (MEG) signals. The signal are analyzed by using nonlinear data analysis method to extract the d∝ parameter. The signals under consideration are acquired on the whole-head MEG acquisition system and are analyzed in order to characterize spatiotemporal pattern. The microcontroller based implementation represents a low cost stand-alone solution for the analysis of any physiological signals (MEG, EEG, ECG, etc) suitable for first aid approaches and early diagnostics. The real time feature of the proposed approach could thus allow, in the future, a clinical applications of such methodology
File in questo prodotto:
Non ci sono file associati a questo prodotto.
Pubblicazioni consigliate

Caricamento pubblicazioni consigliate

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11570/1907503
 Attenzione

Attenzione! I dati visualizzati non sono stati sottoposti a validazione da parte dell'ateneo

Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 3
  • ???jsp.display-item.citation.isi??? 0
social impact