Adaptive thresholding based low complex QRS detection algorithm

In this study, a QRS detection algorithm with low processing load based on time-domain thresholding is proposed. The ECG signal filtered only pass filter to reduce the computational load. After filtering, derivation and squaring are also performed. Thresholding stage, linear decreasing threshold voltage method using addition operation instead of multiplication Simulations MIT-BIT Arrhythmia Database have yielded 99.2925% sensitivity (% Se) 99.6759% positive predictivity (+ P). proposed compared two similar algorithms in terms both performance It shown that better than its counterparts especially However, it observed gave worse results Sensitivity Se).