The present invention relates to the field of biomedical signal processing, specifically, a device and method of implementation for enhancing the accuracy of recognizing fetus heart rate acceleration data. The present invention comprises: collecting fetus heart rate data in a pre-configured period so as to obtain a fetus heart rate data sequence, H(n)； performing baseline identification on the fetus heart rate sequence, H(n), to obtain a fetus heart rate baseline data sequence, B(n)； pre-processing the fetus heart rate data sequence, H(n), to obtain a pre-processed fetus heart rate data sequence, C(n)； perform acceleration recognition on the pre-processed fetus heart rate data sequence, C(n), according to pre-configured acceleration determination criteria and the fetus heart rate baseline data sequence, B(n), to obtain the acceleration data segments； calculating the acceleration attribute value for each of the acceleration data segment, and outputting each acceleration data segment and the acceleration attribute value calculation result thereof. The technical solution provided by the present invention effectively distinguishes the variations between the accelerations and the baseline, accurately recognizes each acceleration in continuous accelerations, and avoids the situations of detected number of fetus heart rate data accelerations being lower than actuality or being mistaken due to current methods, thereby enhancing the accuracy in recognizing fetus heart rate curve accelerations.
