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Research Article | Open Access |

QRS Detection Based on an Advanced Multilevel Algorithm

Author 1: Wissam Jenkal Author 2: Rachid Latif Author 3: Ahmed Toumanari Author 4: Azzedine Dliou Author 5: Oussama El B’charri Author 6: Fadel Mrabih Rabou Maoulainine
International Journal of Advanced Computer Science and Applications (IJACSA) · Vol. 7, No. 1 · Published 2016 · Cited by 9

DOI: https://doi.org/10.14569/IJACSA.2016.070135

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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.

Keywords

ECG Signal QRS Complex multilevel algorithm thresholding technique

How to Cite this Article

Jenkal, W., Latif, R., Toumanari, A., Dliou, A., B’charri, O. E., & Maoulainine, F. M. R. (2016). QRS Detection Based on an Advanced Multilevel Algorithm. International Journal of Advanced Computer Science and Applications, 7(1). https://doi.org/10.14569/IJACSA.2016.070135

Jenkal, Wissam, et al.. "QRS Detection Based on an Advanced Multilevel Algorithm." International Journal of Advanced Computer Science and Applications, vol. 7, no. 1, 2016, https://doi.org/10.14569/IJACSA.2016.070135.

@article{Jenkal2016,
  title     = {QRS Detection Based on an Advanced Multilevel Algorithm},
  journal   = {International Journal of Advanced Computer Science and Applications},
  volume    = {7},
  number    = {1},
  year      = {2016},
  publisher = {The Science and Information Organization},
  author    = {Wissam Jenkal and Rachid Latif and Ahmed Toumanari and Azzedine Dliou and Oussama El B’charri and Fadel Mrabih Rabou Maoulainine},
  doi       = {10.14569/IJACSA.2016.070135},
  url       = {https://doi.org/10.14569/IJACSA.2016.070135}
}

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