Detection of ECG(electrocardiogram) signals is the basis ofECG analysis and diagnosis. In the analysis of ECG signals

it is veryimportant to quickly and accurately detect QRS complexes. It is a prerequisitefor calculating relevant parameters and diagnosis. Considering the poorreal-time performance and high error detection rate of conventional ECGdetection algorithms

this paper designs a forward and reverse bidirectionaladaptive differential threshold detection algorithm

and increases the R-wavemisdetection miss detection compensation algorithm. The algorithm is validatedby the Massachusetts Institute of Technology’s MIT-BIH arrhythmia database

andthe detection accuracy rate is over 99%. The experimental results show that themethod is simple

effective

accurate and suitable for practical applications.