General Information
This software code outputs an estimate of a noise signal collected as part of an electrocardiograph (ECG) recording. The objective is to obtain representative samples of noise and motion artifacts from ECG devices under test (DUT) that can then be used for testing the robustness of ECG analysis algorithms. The algorithm for noise estimation is described in [1]. The core operation of this software is based on removing the instances of the QRS complex from the ECG so that an estimate of the noise component of the recording remains. Required inputs are the ECG signal recorded with noise/motion artifacts and locations (indices) of the R-peaks.
Please refer to the "ECGnoiseExtraction_Instructions_for_use_V01.pdf" file for further details and citation information.
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Update: 06/27/2024
The ECG data used to analyze the performance of this algorithm is available in the "ECG_files" directory of this repository along with the document describing the data (ECG_data_description.pdf). The analysis results are published in [2].
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Disclaimer: This software and documentation (the "Software") were developed at the Food and Drug Administration (FDA) by employees of the Federal Government in the course of their official duties. Pursuant to Title 17, Section 105 of the United States Code, this work is not subject to copyright protection and is in the public domain. Permission is hereby granted, free of charge, to any person obtaining a copy of the Software, to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, or sell copies of the Software or derivatives, and to permit persons to whom the Software is furnished to do so. FDA assumes no responsibility whatsoever for use by other parties of the Software, its source code, documentation or compiled executables, and makes no guarantees, expressed or implied, about its quality, reliability, or any other characteristic. Further, use of this code in no way implies endorsement by the FDA or confers any advantage in regulatory decisions. Although this software can be redistributed and/or modified freely, we ask that any derivative works bear some notice that they are derived from it, and any modified versions bear some notice that they have been modified.
[1] L. Galeotti and C. G. Scully, "A method to extract realistic artifacts from electrocardiogram recordings for robust algorithm testing," Journal of Electrocardiology, vol. 51, no. 6, Supplement, pp. S56-S60, 2018/11/01/ 2018, doi: 10.1016/j.jelectrocard.2018.08.023.
[2] A. Suliman, M. Farahmand, L. Galeotti, and C. G. Scully, "Clinical Evaluation of the ECG Noise Extraction Tool as a Component of ECG Analysis Algorithms Evaluation," IEEE Transactions on Biomedical Engineering, pp. 1-10, 2024, doi: 10.1109/TBME.2024.3386493.