Robust Algorithm for Heart Rate (HR) Detection and Heart Rate Variability (HRV) Estimation

• Authors: Z. Piotrowski , K. Różanowski
• Languages of publication: EN

Abstracts

EN

We present algorithm for Heart Rate detection based on Short-Term Autocorrelation Center Clipping method. This algorithm is dedicated for biological signal detection, electrocardiogram, in noisy environment with lot of artifacts. Using this algorithm is also possible detect the R pointers in the PQRST complex of the ECG signal. In this paper the new implementation of the heart rate variability estimation is also presented. HRV module is based on parametric and non-parametric methods of the power spectral density computation.

Keywords

EN

87.85.Ng; 87.19.Le; 84.37.+q; 87.57.C-

Discipline

• 87.85.Ng: Biological signal processing
• 84.37.+q: Measurements in electric variables (including voltage, current, resistance, capacitance, inductance, impedance, and admittance, etc.)
• 87.57.C-: Image quality

• Publisher: Institute of Physics, Polish Academy of Sciences
• Journal: Acta Physica Polonica A
• Year: 2010
• Volume: 118
• Issue: 1
• Pages: 131-135

Dates

published

2010-07

Contributors

author

Z. Piotrowski

• Telecommunications Institute, Military University of Technology, Kaliskiego 2, 00-908 Warsaw, Poland

author

K. Różanowski

• Military Institute of Aviation Medicine, Krasińskiego 54, 01-455 Warsaw, Poland

References

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Identifiers

DOI

10.12693/APhysPolA.118.131