NDLI: Linear filtering and nonlinear fuzzy logic filtering for sample identification with Raman spectroscopy

Content Provider	IEEE Xplore Digital Library
Author	Zhengmao Ye Auner, G.
Copyright Year	2003
Description	Author affiliation: Dept. of Electr. & Comput. Eng., Wayne State Univ., Detroit, MI, USA (Zhengmao Ye; Auner, G.)
Abstract	Raman spectroscopy provides detail information on molecular structure and chemical composition of the samples. It can be used to characterize the normal issue and the malignant tissue for decision-making and medical diagnosis. The goal in this research is to eliminate the noise to an acceptable level. This article is also about some preliminary work of Raman signal processing for sample identification. The whole procedure includes spectrum capturing by Raman spectrometer, spectrum calibration, slowly varying noise filtering using linear least squares estimation, fast varying noise filtering using nonlinear fuzzy control. The long-term objective is to create a real-time approach for sample analysis using a Raman spectrometer directly mounted at the end-effector of the medical robot, which enhances the remote controlled robot strategy.
Sponsorship	Syst., Man & Cybernetics Soc. IEEE
Starting Page	4619
Ending Page	4624
File Size	573074
Page Count	6
File Format	PDF
ISBN	0780379527
ISSN	1062922X
DOI	10.1109/ICSMC.2003.1245712
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2003-10-08
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Maximum likelihood detection Fuzzy logic Nonlinear filters Filtering Raman scattering Spectroscopy Medical robotics Chemicals Cancer Decision making
Content Type	Text
Resource Type	Article

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