Extraction of stationary components in biosignal discrimination.
Biosignal recordings are widely used in the medical environment to support the evaluation and the diagnosis of pathologies. Nevertheless, the main difficulty lies in the non-stationary behavior of the biosignals, difficulting the obtention of patterns characterizing the changes in physiological or pathological states. Thus, the obtention of the stationary and non-stationary components of a biosignal is still an open issue. This work proposes a methodology to detect time-homogeneities based on time-frequency analysis with aim to extract the non-stationary behavior of the biosignal. Results show an increase in the stationarity and in the distance between classes of the reconstructions from the enhanced time-frequency representations. The stationary components extracted with the proposed approach can be used to solve biosignal classification problems.
Signal Processing and Recognition Group, Universidad Nacional de Colombia, Km. 9, Vía al aeropuerto, Campus la Nubia, Caldas, Manizales, Colombia. jmartinezv@unal.edu.co
J D
JD
Martinez-Vargas
D
D
Cardenas-Pena
G
G
Castellanos-Dominguez
D016208:Databases, Factual; D004569:Electroencephalography / Q000379:methods*; D004827:Epilepsy / Q000503:physiopathology*; D005260:Female; D006801:Humans; D008297:Male; D008954:Models, Biological; D012815:Signal Processing, Computer-Assisted; D059629:Signal-To-Noise Ratio