Author/Authors :
Diab, M.O. Université de Technologie de Compiègne/Université Islamique du Liban - UMR CNRS 6600/Département Biomédical, France/ Liban , Marque, C Université de Technologie de Compiègne - UMR CNRS 6600, France , Kha1il, M Université Islamique du Liban - Département Biomédical, Liban
Abstract :
The purpose of this study is to classify the uterine contractions in the electromyography (EMG) signal. As the frequency content of the contraction changes from one woman to another and during pregnancy, wavelet decomposition is used to extract the parameters of each contraction and then an unsupervised statistical classification method based on Fisher test is used to classify the events. A principal component analysis projection is then used to evidence the groups resulting from this classification. Results show that uterine contractions may be classified into independent groups according to their frequency content, and in terms ofpregnancy.
