Method for Extracting Arterial Pulse Waveforms from Interferometric Signals

• Published in: Sensors (Basel, Switzerland) Vol. 25; no. 14; p. 4389
• Main Authors: Janek, Marian, Martincek, Ivan, Tarjanyiova, Gabriela
• Format: Journal Article
• Language: English
• Published: Switzerland MDPI AG 14.07.2025; MDPI
• Subjects: Accuracy; Algorithms; Analysis; arterial pulse waveform; Arteries - physiology; Cardiovascular disease; Electrocardiography; Fabry–Perot interferometer; Heart; Heart Rate - physiology; Humans; Interferometry; Interferometry - methods; Light; Methods; Morphology; Physiological aspects; Physiology; Pulse Wave Analysis - methods; Python; Python-based processing; Sensors; Signal processing; Signal Processing, Computer-Assisted; Veins & arteries; Fabry–Perot interferometer; Python-based processing; arterial pulse waveform

This paper presents a methodology for extracting and simulating arterial pulse waveform signals from Fabry–Perot interferometric measurements, emphasizing a practical approach for noninvasive cardiovascular assessment. A key novelty of this work is the presentation of a complete Python-based process...