An Adaptive QRS Detection Algorithm with Variable Threshold.

Authors

Fatma Abou-Chadi, Electrical Communications Engineering Department., Faculty of Engineering., El-Mansoura University., Mansoura., Egypt.
Manal Saleh, Mansoura Electronic Exchange.

Corresponding Author

Abou-Chadi, Fatma

Subject Area

Electronics and Communication Engineering

Article Type

Original Study

Abstract

Ambulatory electrocardiogram ( ECG ) recordings from patients undergoing severe physical stress are corrupted by large muscle artifacts ( EMG ) and other noise sources, such as baseline drifts and currents induced by motion artifacts and electromechanical devices. A simple real-time algorithm has been developed which is suitable for on-line detection of the QRS complexes. The algorithm calculates several statistical parameters of the ECG signal which are used to adapt the threshold to baseline changes in the signal, thereby increasing detection sensitivity.

Recommended Citation

Abou-Chadi, Fatma and Saleh, Manal (2021) "An Adaptive QRS Detection Algorithm with Variable Threshold.," Mansoura Engineering Journal: Vol. 17 : Iss. 4 , Article 3.
Available at: https://doi.org/10.21608/bfemu.2021.188682