RESUMO
The data of uterine contraction pressure is the information source for extracting uterine contractions status. Because there is a variety of interference existing in contraction pressure data, commonly used methods such as uterine contraction intensity integration method can not obtain decent evaluation results. We used the bior 2.4 biorthogonal wavelet to decompose and reconstruct the pressure data in order to obtain the best denoising effect. Combining with the denoised results, we proposed an algorithm of the wavelet energy value. Based on the algorithm, we calculated the curve of wavelet energy value. It was proved that using the curve of wavelet energy value can better identify contractions waveform and evaluation contractions intensity.