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Baseline correction Subject

QTprolongation In a multicenter, randomized, double-blind trial that enrolled 198 patients with COPD, the number of subjects with changes from baseline-corrected QT interval of 30 to 60 msec was higher in the tiotropium group as compared with placebo. No patients in either group had QT of more than 500 msec. [Pg.764]

A number of reviews describe the various steps involved in NMR data analysis (2,99—101). In general, two major approaches are used for statistical analysis of NMR data a chemometric approach as well as a quantitative metabolomics approach (102,103). The chemometric approach uses the complex NMR spectra directly for analysis after subjecting the data to preprocessing steps such as baseline correction, peak alignment, solvents peak removal, and normalization. Often binning and data scaling are used to account for small peak shifts and better emphasize the low-intensity peaks, respectively. Subsequently, metabolite features that distinguish sample classes are identified and their metabolite identities are established. While this direct approach... [Pg.197]

The next example of an OTC map was treated first using a direct classic least square (DCLS) method, and then with more sophisticated multivariate analysis methods. The tablet was mapped over 800 X 800 gm with 10 gm steps. The data were baseline-corrected and normalized before being subjected to an unsupervised multivariate analysis. The first set of results was produced using univariate analysis (Figure 11.8a), when a manual exploration revealed three distinguishable and... [Pg.389]

Heart rate or RR interval (defined as 60 divided by the heart rate) correction plays a very important role in the analysis of QT/QTc data. Baseline corrections depend heavily on the clinical assumptions that the baseline data represent the subjects physiological condition in drug-free conditions, and that the QT/HR relationship stays the same before and after drug administration, whether or not the heart rate changes. With this assumption, QT values are corrected for HR in order to summarize and compare QTc values across different subjects, trials, or conditions. [Pg.979]

What type of data analysis will be needed It could be simple band area or band ratio analyses, curve-fitting analysis, or sophisticated chemometric approaches. In this step, data preprocessing steps can be identified and implemented for baseline correction, scaling and so forth, (see Chapter 7 for a further discussion on this subject.)... [Pg.929]

PCA was employed to classify the differences in the spectra for each local area spectrum of the spherulite. Consequently, 20 single spectra were extracted from 20 points of groups A-C, but for group D only five spectra were obtained as the amorphous area is limited (as shown in Figure 22.23c). All spectra in the region of 5500-3300 cm were subjected to a linear baseline correction and a second derivative pretreatment to highlight subtle differences in the spectral features among the spectra before the PCA calculations. [Pg.726]

Secondly, even in the absence of any matrix, or when the matrix is absolutely identical in all solutions for measurement, the concentration of molecules such as OH is not strictly constant over time, but subject to some short-term flucmations that result in kind of a flicker-noise, as shown in Figure 8.1 (a) in the vicinity of the lead absorption line at 283.306 nm. These flucmations obviously result in positive as well as negative peaks after the usual baseline correction. As least-squares BC corrects each individual spectrum separately, it can handle any kind of positive or negative deflection, eliminating completely the noise produced by the molecular absorption, as shown in Figure 8.1 (b). [Pg.213]

The growth rate, however, always returns to the baseline level less than 30 min after the stimulus as shown in Fig. 7. This observation demonstrates that the model is not correct for the growth response as there must be at least two biochemical steps along the light sensory transduction chain which are subject to regulation. One sets the level of sensitivity and the other is responsible for the return of growth rate to the base-line level. Only the first step which sets the level of sensitivity obeys the simple differential equation of Delbriick and Reichardt and only then in cases where a small stimulus was employed. [Pg.86]

Triplicate near-IR scans were averaged for each sample. The triplicate spectra were averaged to provide one spectrum per sample and subjected to a second-derivative correction for removal of baseline shifting. Principal component analysis of the second-derivative spectra was used prior to one of two bootstrap calculations, the single-sample or multiple-sample bootstrap calculations. The detection of subclusters by this method allows for the determination of very small changes in component concentrations. [Pg.49]

Drug Doses Used" Trial Design Number of Subjects Baseline Collection Period (Data Were Used for Heart Rate Corrections) Number of Replicate QT Measures Per Time Point... [Pg.982]

In summary, these studies have demonstrated the beneficial effect of obtaining additional sleep prior to periods of sleep loss and the additive benefits of caffeine use. Subjects for the studies were healthy young adults who did not report significant daily caffeine use and who were not sleep deprived prior to the beginning of each study. In the real world, of course, it is common that shift workers will suffer fiom both chronic sleep loss and tolerance to caffeine. Such limitations could reduce the beneficial impact of both prophylactic naps and caffeine in applied settings. On the other hand, knowledge of the ability of naps and caffeine to produce baseline levels of alertness across nocturnal work periods when used correctly should allow planners to develop improved sustained work schedules. [Pg.200]

There are a number of methods used by spectroscopists to remove base-Une effects from the spectra they collect. The problem with most methods is that they require the spectroscopist to decide that the baseline is correct by visual inspection. In addition to being very subjective, most of these methods cannot easily be applied in the somewhat automated fashion required for a cahbration model. [Pg.153]


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