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Digital Object Identifier (DOI) : 10.14569/IJACSA.2016.070135
Article Published in International Journal of Advanced Computer Science and Applications(IJACSA), Volume 7 Issue 1, 2016.
Abstract: This paper presents an advanced multilevel algorithm used for the QRS complex detection. This method is based on three levels. The first permits the extraction of higher peaks using an adaptive thresholding technique. The second allows the QRS region detection. The last level permits the detection of Q, R and S waves. The proposed algorithm shows interesting results compared to recently published methods. The perspective of this work is the implementation of this method on an embedded system for a real time ECG monitoring system.
Wissam Jenkal, Rachid Latif, Ahmed Toumanari, Azzedine Dliou, Oussama El B’charri and Fadel Mrabih Rabou Maoulainine, “QRS Detection Based on an Advanced Multilevel Algorithm” International Journal of Advanced Computer Science and Applications(IJACSA), 7(1), 2016. http://dx.doi.org/10.14569/IJACSA.2016.070135