对QRS波检测算法进行研究,采用基于自适应双阈值(ADT)与回溯重检机制的QRS波实时检测算法,克服传统差分阈值法在QRS波检测中存在的误检或漏检及偶尔出现的倒置R波的问题,并采取了不应期的方式,在进一步防止误检的同时也提高了算法速度.利用MIT-BIH心电数据库对算法进行验证,QRS波检测率达到99.43%,算法简单、高效,能够运行于嵌入式平台. The algorithm of QRS detection is studied. The real-time QRS detection algorithm based on adaptive double threshold (ADT) and backtracking and rechecking mechanism is adopted to overcome the misleading or missing detection and occasional occurrence of QRS detection in the traditional differential threshold method Inverted R wave, and take a refractory way, to further prevent false positives also improve the speed of the algorithm.Method validation using MIT-BIH ECG database, QRS wave detection rate of 99.43%, the algorithm is simple , Efficient, able to run on the embedded platform.