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

Year: 2024

Type: article

Abstract: 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.

Source: Journal of intelligence and knowledge engineering.

DOI: 10.62517/jike.202404306

Authors: Yutong Liu, Haiyang Tu, Chen Lou

Institutions: University of Electronic Science and Technology of China, Hangzhou City University

Language: English

Topic: Non-Invasive Vital Sign Monitoring

Subfield: Biomedical Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: hybrid

OpenAlex ID: W4409891483