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In this paper, an innovative approach for detecting and analyzing speckle pattern signals is demonstrated, based on dynamic speckle analysis using a low-cost and low-framerate rolling shutter (RS) CMOS image sensor. The row scanning mechanism of a rolling shutter camera samples dynamic speckle patterns at a higher rate than typical Global Shutter (GS) cameras. In this research we demonstrate the detection and analysis of vibration signals that arise from an acoustic signal. We will illustrate the process of reconstructing a voice signal by analyzing a vibrating speckle pattern, with a primary focus on detecting and audibly capturing lung sounds.
Conference Presentation
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
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Sammy Apsel, Vika Tarle, Michal Yemini, Zeev Zalevsky, Nisan Ozana, "Rolling-shutter laser speckle analysis in bio-photonics," Proc. SPIE 13006, Biomedical Spectroscopy, Microscopy, and Imaging III, 130060U (20 June 2024); https://doi.org/10.1117/12.3001702