Post-disaster Rescue Heartbeat Detection Signal Processing Algorithm Based on Laser Speckle Vibration Measurement Principle

This paper proposes a heartbeat detection signal-processing algorithm based on the laser speckle vibration measurement principle, specifically designed for life-sign detection in post-disaster rescue operations. Laser speckle vibration measurement is a non-contact measurement technique that extracts vibration information of a target by illuminating its surface with a laser beam and detecting changes in the speckle pattern caused by minute surface vibrations. In this study, we use the laser speckle vibration measurement principle to acquire heartbeat signals from trapped individuals. To enhance detection accuracy and noise resistance, we have designed a series of signal processing steps, including signal preprocessing, noise filtering, multi-scale analysis, and precise extraction and identification of heartbeat frequency. Experimental results show that this algorithm effectively extracts weak heartbeat signals in complex post-disaster environments, demonstrating excelent robustness and high-precision detection performance. This technology provides a reliable and practical solution for life detection in post-disaster search and rescue operations.