A method for improving the measurement data resolution of time-resolved spectroscopy (TRS) using adaptive pulse compression filter

Proceedings of the 20th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. Vol.20 Biomedical Engineering Towards the Year 2000 and Beyond (Cat. No.98CH36286) Pub Date : 1998-10-29 DOI:10.1109/IEMBS.1998.745616

S. Chang, Lin Fang, D. Haishu, B. Chance

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引用次数: 3

Abstract

Temporal and image resolution are the key problems in retrieving optical properties and in imaging of structural or functional changes within tissue from a set of received signals using a time-resolved spectroscopy (TRS) system. An adaptive light pulse compression filter applied to the signal processing of a TRS system is introduced, which was based on the analysis of temporal characteristics of near infrared spectroscopy (NIRS) signal. Moreover, an improved LMS algorithm having fast tracking ability and permitting large dynamic range input is also presented in this paper. The results of computer simulation, show that the filter has good tracing compression performance for diffusely reflected or transmitted signal received from the surface of the tissue and the temporal or image resolution of TRS system can be improved significantly.

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提出了一种利用自适应脉冲压缩滤波器提高时间分辨光谱(TRS)测量数据分辨率的方法

时间和图像分辨率是使用时间分辨光谱(TRS)系统从接收到的一组信号中检索光学特性和成像组织内结构或功能变化的关键问题。在分析近红外光谱(NIRS)信号时间特性的基础上，介绍了一种应用于TRS系统信号处理的自适应光脉冲压缩滤波器。此外，本文还提出了一种改进的LMS算法，该算法具有快速跟踪能力和允许大动态范围输入。计算机仿真结果表明，该滤波器对来自组织表面的漫反射或发射信号具有良好的跟踪压缩性能，可以显著提高TRS系统的时间分辨率或图像分辨率。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Proceedings of the 20th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. Vol.20 Biomedical Engineering Towards the Year 2000 and Beyond (Cat. No.98CH36286)

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