Lipoprotein-Lipid Quantification by Neural-Network Analysis of 1H-NMR Data from Human Blood Plasma
β Scribed by Y. Hiltunen; E. Heiniemi; M. Alakorpela
- Publisher
- Elsevier Science
- Year
- 1995
- Tongue
- English
- Weight
- 337 KB
- Volume
- 106
- Category
- Article
- ISSN
- 1064-1866
No coin nor oath required. For personal study only.
π SIMILAR VOLUMES
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
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-
Efficient and relevant classification of clinical findings, i.e. diagnostic decision making, poses a major challenge in medicine. In relation to biomedical NMR spectroscopy the problem of classification is often accompanied by complex, heavily overlapping information. Self-organizing map (SOM) analy