A new automatic baseline correction method based on iterative method

Journal of Magnetic Resonance
Qingjia BaoChaoyang Liu

Abstract

A new automatic baseline correction method for Nuclear Magnetic Resonance (NMR) spectra is presented. It is based on an improved baseline recognition method and a new iterative baseline modeling method. The presented baseline recognition method takes advantages of three baseline recognition algorithms in order to recognize all signals in spectra. While in the iterative baseline modeling method, besides the well-recognized baseline points in signal-free regions, the 'quasi-baseline points' in the signal-crowded regions are also identified and then utilized to improve robustness by preventing the negative regions. The experimental results on both simulated data and real metabolomics spectra with over-crowded peaks show the efficiency of this automatic method.

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Citations

Jul 16, 2013·Journal of Magnetic Resonance·Qingjia BaoChaoyang Liu
Jul 15, 2015·Briefings in Bioinformatics·Ahmed MohamedHiroshi Mamitsuka
May 4, 2016·Journal of Chromatography. a·Hai-Yan FuYuan-Bin She
Sep 1, 2015·PLoS Computational Biology·Marc BreitChristian Baumgartner
Apr 14, 2017·The Analyst·Filip Ciepiela, Krystian Węgiel
Jul 1, 2017·Applied Spectroscopy·Stephen GiguereM Darby Dyar
Mar 13, 2019·Magnetic Resonance in Chemistry : MRC·Zao Liu, Zhiwei Chen
Feb 27, 2018·Metabolomics : Official Journal of the Metabolomic Society·Abdul-Hamid EmwasDavid S Wishart
Nov 16, 2020·Solid State Nuclear Magnetic Resonance·Maxime YonVincent Sarou-Kanian

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