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Method for Extracting Arterial Pulse Waveforms from Interferometric Signals.
Marian Janek1, Ivan Martincek1, Gabriela Tarjanyiova1
1Physics Department, Faculty of Electrical Engineering and Information Technology, University of Zilina, Univerzitná 8215/1, 010 26 Žilina, Slovakia.
Sensors (Basel, Switzerland)
|July 30, 2025
Summary
Researchers developed an open-source Python pipeline to extract arterial pulse waveforms from Fabry-Perot interferometry. This method offers a practical, cost-effective tool for noninvasive cardiovascular diagnostics.
Area of Science:
- Biomedical Engineering
- Optical Sensing
- Signal Processing
Background:
- Noninvasive cardiovascular assessment is crucial for diagnostics.
- Fabry-Perot interferometry offers potential for physiological monitoring.
- Existing methods for arterial pulse waveform extraction are limited.
Purpose of the Study:
- To present a methodology for extracting arterial pulse waveform signals using Fabry-Perot interferometry.
- To develop and release a complete, open-source Python processing pipeline for signal demodulation.
- To enable practical, noninvasive cardiovascular assessment.
Main Methods:
- Utilized Fabry-Perot interferometric measurements.
- Developed a Python-based processing pipeline including outlier removal, Butterworth high-pass filtering, and min-max normalization.
- Employed signal reconstruction guided by rate of change, Hilbert transform envelope, and detected extrema.
Main Results:
- Successfully reconstructed arterial pulse waveform signals from interferometric measurements.
- Identified amplitude variations and noise sources related to sensor bandwidth and interpolation.
- Validated the methodology against synchronized electrocardiogram (ECG) recordings in three subjects.
Conclusions:
- The developed methodology provides valuable insights into arterial motion.
- Fabry-Perot sensors are viable for cost-effective, noninvasive cardiovascular diagnostics.
- The open-source pipeline facilitates advancements in bio-signal analysis and clinical translation.
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