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Software for Analysis of Heart Rate and Blood Pressure Time-series Data from the Valsalva Maneuver

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Robust peak detection of pulse waveform using height ratio.

Lisheng Xu¹, Max Q H Meng, Rong Liu

¹School of Control Science and Engineering, Shandong University, Jinan, China. xulisheng@ieee.org

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference

|January 24, 2009

Summary

This study introduces a new algorithm for accurately detecting peaks in pulse waveforms, crucial for computerized pulse diagnosis. The method effectively handles noise and baseline drift, improving pulse waveform analysis.

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Area of Science:

Biomedical Engineering
Physiological Signal Processing
Medical Informatics

Background:

Accurate pulse waveform analysis is essential for computerized pulse diagnosis.
Extracting time-domain features of pulse waveforms relies heavily on precise peak detection.
Existing methods may struggle with signal noise and baseline variations.

Purpose of the Study:

To propose a robust peak detection algorithm for pulse waveforms.
To enhance the accuracy of feature extraction in time-domain pulse waveform analysis.
To provide a reliable method for computerized pulse diagnosis.

Main Methods:

Developed a novel peak detection algorithm for pulse waveforms.
The algorithm is based on the ratio of peak height.
Evaluated the algorithm's performance against noise and baseline drift.

Main Results:

The proposed algorithm demonstrates robustness against unspecific noise.
The algorithm effectively handles baseline drift in pulse waveforms.
Successful application in pulse waveform analysis was confirmed.

Conclusions:

The developed peak detection algorithm is reliable for pulse waveform analysis.
The algorithm offers improved accuracy for computerized pulse diagnosis.
The method has potential applications in analyzing other quasi-periodic physiological signals.