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Related Experiment Video

Updated: Jun 13, 2026

Infrared Degenerate Four-wave Mixing with Upconversion Detection for Quantitative Gas Sensing

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[A quick algorithm of dynamic spectrum photoelectric pulse wave detection based on LabVIEW].

Ling Lin¹, Na Li, Gang Li

¹State Key Laboratory of Precision Measurement Technology and Instruments, Tianjin University, Tianjin 300072, China.

Guang Pu Xue Yu Guang Pu Fen Xi = Guang Pu

|April 14, 2010

Summary

Dynamic spectrum (DS) detection offers noninvasive blood analysis. This study enhances DS precision and speed using over-sampling, lock-in amplifying, and a novel LabVIEW algorithm with external C code.

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Area of Science:

Biomedical Engineering
Optical Sensing

Context:

Noninvasive blood component detection is crucial for health monitoring.
Dynamic spectrum (DS) analysis of photoelectric pulse waves offers a promising avenue.
Existing methods face challenges in precision and operational speed.

Purpose:

To enhance the precision and operational speed of dynamic spectrum detection for noninvasive blood analysis.
To develop and verify a novel algorithm for DS detection using LabVIEW and external C code.

Summary:

This study presents a theoretical framework for over-sampling and lock-in amplifying techniques in DS detection.
A rapid algorithm integrating LabVIEW and external C code was developed to address data and operational load issues.
Experimental validation in LabVIEW confirmed significant improvements in operational speed and data memory reduction.

Impact:

The developed methods significantly accelerate DS detection processes.
Reduced data memory requirements facilitate more efficient real-time blood analysis.
This research advances noninvasive diagnostic tools for blood component monitoring.