A data processing method for use with blood pressure measuring devices, comprising a step of establishing a plurality of blood pressure estimation regression equations and a step of calculating a blood pressure value. The step of establishing a plurality of blood pressure estimation regression equations comprises: obtaining a pulse wave and a corresponding blood pressure value (101) pre-processing the obtained pulse wave (102) extracting a pulse wave feature point and obtaining a pulse wave global feature parameters value (103) using the obtained pulse wave global feature parameters value and a corresponding blood pressure value to establish a plurality of regression test sets by means of random selection (104) obtaining a globally optimal regression equation from each regression test set (105) evaluating and screening to obtain a regression equation of high accuracy (106) and assigning a corresponding weight (107). The step of calculating a blood pressure value comprises: substituting the obtained pulse wave global feature parameters value into the high accuracy regression equation, removing an abnormal value from a calculation result to obtain a plurality of blood pressure estimation values, and finally weighting and averaging. The data processing method for use with blood pressure measuring devices increases the accuracy and stability of blood pressure measurement values.Un procédé de traitement de données destiné à être utilisé avec des dispositifs de mesure de la pression artérielle, comprenant une étape détablissement dune pluralité déquations de régression destimation de la pression artérielle et une étape de calcul de valeur de la pression artérielle. Létape détablissement dune pluralité déquations de régression destimation de la pression artérielle comprend : lobtention dune onde dimpulsion et dune valeur de pression artérielle correspondante (101) le pré-traitement de londe dimpulsion obtenue (102) lextraction dun point de caractéristique donde dimpulsio
