Abstract
Background and objectivesECG signal is relatively weak and vulnerable to various noise interferences, such as electromyography. There will be robustness problems when detecting the instantaneous heart rate independently. In some cases, multiple human physiologic parameters are monitored to help in heart rate detection.MethodsIn this paper, an algorithm that marks the R-wave peaks with the help of simultaneously recorded continuous blood pressure is proposed and tested on two databases. One database, called the challenge database, is provided by the PhysioNet/Computing in Cardiology Challenge 2014, and the other is the MGH/MF waveform database.ResultsThe final scores of the proposed algorithm are 97.3% for the challenge database and 96.6% for the MGH/MF waveform database.ConclusionsThe experimental results show that this algorithm has high detection accuracy and a relatively strong robustness.
Highlights
Long-term and continuous monitoring of the instantaneous heart rate is the main means of human care [1] [2]
The experimental results show that this algorithm has high detection accuracy and a relatively strong robustness
Based on the above background, because of the relevance and synchronicity between the ECG signal and blood pressure (BP) signal [11], we proposed an algorithm that detects the R-wave peaks with the help of the continuous BP signal recorded simultaneously
Summary
ECG signal is relatively weak and vulnerable to various noise interferences, such as electromyography. Multiple human physiologic parameters are monitored to help in heart rate detection
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