Literature DB >> 30867391

Short-time Fourier Transform of Free Induction Decays for the Analysis of Serum Using Proton Nuclear Magnetic Resonance.

Keiko Hirakawa1, Kaoru Koike2, Yoshimasa Kanawaku3, Tsuyoshi Moriyama4, Norio Sato2, Takao Suzuki2, Kenichi Furihata5, Youkichi Ohno1,3.   

Abstract

Proton nuclear magnetic resonance (NMR) is useful for the analysis of biological samples such as serum. Free induction decays (FIDs) are NMR signals that follow a radio-frequency pulse applied at the resonance frequency. Short-time Fourier transform (STFT) is a basic method for time-frequency analyses. The purpose of this study was to ascertain whether the STFT of FIDs enables the sensitive detection of changes and differences in serum properties. FIDs were obtained from serum collected from young, healthy, male volunteers ≤ 40 years of age and seniors ≥ 65 years of age. Temporal changes in the instantaneous amplitudes for the time-domain analysis, fast Fourier transform for frequency-domain analysis, and STFT were applied to the FIDs. The STFT-based spectrogram represented the complex frequency components that changed dynamically over time, indicating that the spectrogram enabled the visualization of the features of an FID. Furthermore, the results of a partial least-squares discriminant analysis demonstrated that the STFT was superior to the other two methods for discriminating between serum from younger and older subjects. In conclusion, the STFT of FIDs obtained from proton NMR measurements was useful for evaluating similarities and dissimilarities in the FIDs obtained from serum samples.

Keywords:  Nuclear Magnetic Resonance; Short-Time Fourier Transform; modal analysis; serum; spectrogram

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Year:  2019        PMID: 30867391     DOI: 10.5650/jos.ess18212

Source DB:  PubMed          Journal:  J Oleo Sci        ISSN: 1345-8957            Impact factor:   1.601


  3 in total

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Authors:  Fukui Shen; Wenbo Wu; Man Zhang; Xiaoyao Ma; Qingxin Cui; Zhongyao Tang; Hao Huang; Tiantian Tong; Leefong Yau; Zhihong Jiang; Yuanyuan Hou; Gang Bai
Journal:  Front Pharmacol       Date:  2019-09-13       Impact factor: 5.810

2.  Signal Deconvolution and Noise Factor Analysis Based on a Combination of Time-Frequency Analysis and Probabilistic Sparse Matrix Factorization.

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Journal:  Int J Mol Sci       Date:  2020-04-23       Impact factor: 5.923

3.  Time-frequency analysis of serum with proton nuclear magnetic resonance for diagnosis of pancreatic cancer.

Authors:  Asahi Sato; Toshihiko Masui; Akitada Yogo; Takashi Ito; Keiko Hirakawa; Yoshimasa Kanawaku; Kaoru Koike; Shinji Uemoto
Journal:  Sci Rep       Date:  2020-12-14       Impact factor: 4.379

  3 in total

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