65-nm ASIC implementation of QRS detector based on Pan and Tompkins algorithm

Electrocardiogram analysis is an important tool in the management of cardiac diseases and the QRS complex is the main reference in such analysis. The paper presents a new adaptive ECG QRS detection ASIC based on Pan and Tompkins algorithm. The algorithm has been modified to detect a large number of different QRS complex morphologies using two adaptive thresholds. The dedicated ASIC design architecture is based on the state-of-the-art 65-nm CMOS technology and has achieved 0.073426 mm
²
total core area and 0.55105 μW power consumption. The QRS detector is tested on ECG records obtained from Physionet MIT-BIH database and obtained a sensitivity of Se =99.83% and a positive predictivity of P
⁺
= 98.65%.