How the Level of Noise Affects Temporal Accuracy of a QRS Detector—Case Study

Our research clearly indicates that selecting a QRS-detection algorithm based solely on <i>DER</i>, <i>Se</i>, and <i>PPV</i> detection statistics may be incorrect. Two equally important detection quality parameters are the change in the <i>DER</i> error rate with tightened requirements of jitter and robustness of the detection statistics <i>DER</i>, <i>Se</i>, and <i>PPV</i> to noise level variations (algorithm's detection points immunity to noise).

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Publication Details

Journal
Sensors
Published
2025-12-19
DOI
https://doi.org/10.3390/s26010015
Primary Topic
Cognitive Radio Networks and Spectrum Sensing
Type
article
Field-Weighted Citation Impact
0.00
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article

How the Level of Noise Affects Temporal Accuracy of a QRS Detector—Case Study

Piotr Augustyniak, Wojciech Reklewski
Sensors
Cognitive Radio Networks and Spectrum Sensing
article

How the Level of Noise Affects Temporal Accuracy of a QRS Detector—Case Study

Piotr Augustyniak, Wojciech Reklewski
article en

Abstract

Our research clearly indicates that selecting a QRS-detection algorithm based solely on <i>DER</i>, <i>Se</i>, and <i>PPV</i> detection statistics may be incorrect. Two equally important detection quality parameters are the change in the <i>DER</i> error rate with tightened requirements of jitter and robustness of the detection statistics <i>DER</i>, <i>Se</i>, and <i>PPV</i> to noise level variations (algorithm's detection points immunity to noise).

SensorsVol. 26(1)
Jagiellonian University (PL), AGH University of Krakow (PL)
Openalex Percentile: Top 54%
Cognitive Radio Networks and Spectrum Sensing
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