Classification and Quantitation of 1H NMR Spectra of Alditols Binary Mixtures Using Artificial Neural Networks
β Scribed by Amendolia, Salvator Roberto; Doppiu, Angelino; Ganadu, Maria Luisa; Lubinu, Giuseppe
- Book ID
- 115521062
- Publisher
- American Chemical Society
- Year
- 1998
- Tongue
- English
- Weight
- 168 KB
- Volume
- 70
- Category
- Article
- ISSN
- 0003-2700
No coin nor oath required. For personal study only.
π SIMILAR VOLUMES
Long echo time (TE=270 ms) in vivo proton NMR spectra resembling human brain metabolite patterns were simulated for lineshape fitting (LF) and quantitative artificial neural network (ANN) analyses. A set of experimental in vivo 1H NMR spectra were first analyzed by the LF method to match the signal-
A real-time automated way of quantifying metabolites from in vivo NMR spectra using an artificial neural network (ANN) analysis is presented. The spectral training and test sets for ANN containing peaks at the chemical shift ranges resembling long echo time proton NMR spectra from human brain were s