Technique for QRS complex detection using particle swarm optimization

A new technique for QRS complex detection of electrocardiogram signals, using particle swarm optimisation (PSO)- based adaptive filter (AF), is proposed. In the proposed method, the AF, based on PSO, is used to generate the feature. An effective detection algorithm, containing search-backs for missed peaks, is also proposed. In the experiment, five PSO variants are tested on MIT-BIH arrhythmia database. The linear decreasing inertia variant of PSO, achieves the best results with sensitivity, positive predictivity and detection error rate of 99.75, 99.83 and 0.42%, respectively. Effectiveness of the proposed method is validated by comparing fidelity parameter of proposed method with state-of-the-art methods.