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目的 针对不同心电图中P波位置、形状差异较大且易受干扰影响而难以准确识别的问题,本文提出了一种基于最优区间函数拟合的P波识别方法.方法 该方法首先在局部范围内变化函数拟合区间,然后在每个区间内用二次函数对P波按最小二乘法原理逼近,通过对比拟合误差,找出P波的最优拟合区间,最后利用在最优拟合区间上的拟合求出P波的各特征点.结果 经MIT-BIH心电数据库的心电数据验证,该方法准确有效.结论 本算法对心率变化大和小P波的心电图P波识别均具有较好的效果,同时具有一定的抗干扰能力,尤其是漏检的发生率极低.“,”Objective To accurately detect ECG P wave, a P wave detection algorithm based on fitting function in the optimal interval is proposed and evaluated in this paper, for resolving very difficult problems. Such as differences of positions and figures in ECG P wave as well as easily suffered diversified interferences. Methods In this algorithm the quadratic function to fit the P wave with least square method in every interval was used, which was shifted in local range. Then the optimal fitting interval of P wave was found by comparing the error of fitting. Finally, the characteristic points of P wave were obtained with the fitting function to fit P wave in the optimal interval. Results The performance of this algorithm tested with the records of the MIT-BIH database was effective and accurate. Conclusion This algorithm on the wide range of heart rate variation and small P wave of ECG P wave detection has good effect. Also it has some capabilities of anti-interference and quite low dismissal probability in particular.