چكيده لاتين :
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.
