Abstract
An expert system has been developed to facilitate biological 31-phosphorus nuclear magnetic resonance (31-PNMR) spectral analysis and interpretation. The expert system represents knowledge as production rules that reason about signal extraction, noise treatment, resonance assignment, intracellular pH determination, and metabolite intensity quantitation. The results from analysis of NMR spectra obtained from cardiovascular studies demonstrated that this artificial intelligence technique combined with statistical and numerical methods provides a framework for an efficient and reliable system for the analysis of complex, noisy biological 31-PNMR spectra.
| Original language | English (US) |
|---|---|
| Title of host publication | IEEE/Engineering in Medicine and Biology Society Annual Conference |
| Place of Publication | Piscataway, NJ, United States |
| Publisher | Publ by IEEE |
| Pages | 1391-1392 |
| Number of pages | 2 |
| Volume | 10 pt 3 |
| State | Published - 1988 |
| Event | Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society - New Orleans, LA, USA Duration: Nov 4 1988 → Nov 7 1988 |
Other
| Other | Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society |
|---|---|
| City | New Orleans, LA, USA |
| Period | 11/4/88 → 11/7/88 |
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ASJC Scopus subject areas
- Engineering(all)
Cite this
Biological NMR spectral analysis by an expert system. / Chow, John L.; Levitt, Karl N.; Kost, Gerald J.
IEEE/Engineering in Medicine and Biology Society Annual Conference. Vol. 10 pt 3 Piscataway, NJ, United States : Publ by IEEE, 1988. p. 1391-1392.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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TY - GEN
T1 - Biological NMR spectral analysis by an expert system
AU - Chow, John L.
AU - Levitt, Karl N.
AU - Kost, Gerald J
PY - 1988
Y1 - 1988
N2 - An expert system has been developed to facilitate biological 31-phosphorus nuclear magnetic resonance (31-PNMR) spectral analysis and interpretation. The expert system represents knowledge as production rules that reason about signal extraction, noise treatment, resonance assignment, intracellular pH determination, and metabolite intensity quantitation. The results from analysis of NMR spectra obtained from cardiovascular studies demonstrated that this artificial intelligence technique combined with statistical and numerical methods provides a framework for an efficient and reliable system for the analysis of complex, noisy biological 31-PNMR spectra.
AB - An expert system has been developed to facilitate biological 31-phosphorus nuclear magnetic resonance (31-PNMR) spectral analysis and interpretation. The expert system represents knowledge as production rules that reason about signal extraction, noise treatment, resonance assignment, intracellular pH determination, and metabolite intensity quantitation. The results from analysis of NMR spectra obtained from cardiovascular studies demonstrated that this artificial intelligence technique combined with statistical and numerical methods provides a framework for an efficient and reliable system for the analysis of complex, noisy biological 31-PNMR spectra.
UR - http://www.scopus.com/inward/record.url?scp=0024168557&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=0024168557&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:0024168557
VL - 10 pt 3
SP - 1391
EP - 1392
BT - IEEE/Engineering in Medicine and Biology Society Annual Conference
PB - Publ by IEEE
CY - Piscataway, NJ, United States
ER -