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一种评估近红外光谱仪串扰的新方法。

A Novel Approach to Evaluating Crosstalk for Near-Infrared Spectrometers.

作者信息

Chen Zemeng, Cao Xinliang, Li Xianglin, Pan Boan, Wang Pengbo, Li Ting

机构信息

Biomedical Engineering Institute, Chinese Academy of Medical Science and Peking Union Medical College, Tianjin 300192, China.

School of Electromechanical and Architectural Engineering, Jianghan University, Wuhan 430056, China.

出版信息

Sensors (Basel). 2024 Feb 3;24(3):990. doi: 10.3390/s24030990.

Abstract

Multi-channel and multi-parameter near-infrared spectroscopy (NIRS) has gradually become a new research direction and hot spot due to its ability to provide real-time, continuous, comprehensive indicators of multiple parameters. However, multi-channel and multi-parameter detection may lead to crosstalk between signals. There is still a lack of benchmarks for the evaluation of the reliability, sensitivity, stability and response consistency of the NIRS instruments. In this study, a set of test methods (a human blood model test, ink drop test, multi-channel crosstalk test and multi-parameter crosstalk test) for analyzing crosstalk and verifying the reliability of NIRS was conducted to test experimental verification on a multi-channel (8-channel), multi-parameter (4-parameter) NIRS instrument independently developed by our team. Results show that these tests can be used to analyze the signal crosstalk and verify the reliability, sensitivity, stability and response consistency of the NIRS instrument. This study contributes to the establishment of benchmarks for the NIRS instrument crosstalk and reliability testing. These novel tests have the potential to become the benchmark for NIRS instrument reliability testing.

摘要

多通道多参数近红外光谱技术(NIRS)因其能够提供多个参数的实时、连续、综合指标,逐渐成为一个新的研究方向和热点。然而,多通道多参数检测可能会导致信号之间的串扰。目前仍缺乏用于评估NIRS仪器可靠性、灵敏度、稳定性和响应一致性的基准。在本研究中,我们开展了一组用于分析串扰并验证NIRS可靠性的测试方法(人体血液模型测试、墨滴测试、多通道串扰测试和多参数串扰测试),以对我们团队自主研发的多通道(8通道)、多参数(4参数)NIRS仪器进行实验验证。结果表明,这些测试可用于分析信号串扰,并验证NIRS仪器的可靠性、灵敏度、稳定性和响应一致性。本研究有助于建立NIRS仪器串扰和可靠性测试的基准。这些新颖的测试有可能成为NIRS仪器可靠性测试的基准。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2483/10857642/7b1a4860db4f/sensors-24-00990-g001.jpg

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