Enhancement of a QRS detection algorithm based on the first derivative, using techniques of a QRS detector algorithm based on non-linear transformations

This work shows details of the implementation of a QRS complex detector Algorithm, based on the first derivative (Holsinger Algorithm), and includes characteristics of a more elaborate QRS detector based on Non-linear transformations(Hamilton-Tomkins Algorithm). These extensions are manifested by the use of a Refractory Period for the search horizon, decision rules using adaptive thresholds for detecting the QRS complex, and a pre-processing of the signal using a Band-pass filter, which maximizes the energy of the QRS complex. The performance of both algorithms is compared using some of the MIT Arrhythmia database records.