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In this paper, we have investigated the use of principal component regression (PCR) combined with time domain filtering to predict the glucose concentration from NIR spectra of mixtures composed from glucose, urea and triacetin. The whole experiments were carried out in a non-controlled environment or sample conditions to show that the PCR coupled with digital bandpass filter can suppress effectively...
Visible and near infrared (NIR) spectroscopy was utilized to determine the growing areas of Tremella fuciformis. Principal component analysis (PCA) obtained the cluster plot which shows the difficulty to determine the growing area by the first three principal components. Least-square support vector machine (LS-SVM) was used to establish the calibration model. Successive projections algorithm (SPA)...
Cardiovascular variability is known to provide useful physiological information about autonomic function and peripheral vascular tone. Previous studies have used systolic values (peaks) or diastolic values (troughs) in the photoplethysmographic signal (PPG) to represent the variability in the finger pulse waveform. However, the feature detection process is error prone and often requires manual correction...
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