  This paper presents a multi-lead fusion method for the accurate and automated
detection of the QRS complex location in 12 lead ECG (Electrocardiogram)
signals. The proposed multi-lead fusion method accurately delineates the QRS
complex by the fusion of detected QRS complexes of the individual 12 leads. The
proposed algorithm consists of two major stages. Firstly, the QRS complex
location of each lead is detected by the single lead QRS detection algorithm.
Secondly, the multi-lead fusion algorithm combines the information of the QRS
complex locations obtained in each of the 12 leads. The performance of the
proposed algorithm is improved in terms of Sensitivity and Positive
Predictivity by discarding the false positives. The proposed method is
validated on the ECG signals with various artifacts, inter and intra subject
variations. The performance of the proposed method is validated on the long
duration recorded ECG signals of St. Petersburg INCART database with
Sensitivity of 99.87% and Positive Predictivity of 99.96% and on the short
duration recorded ECG signals of CSE (Common Standards for Electrocardiography)
multi-lead database with 100% Sensitivity and 99.13% Positive Predictivity.
