Abstract
In this research note, the author applies the higher-order interpolation perturbation equations from quantum mechanics. They include the first-order, second-order, and third-order, to generate three predicted PPG waveforms. He then utilizes his measured postprandial plasma glucose (PPG) data and a synthesized waveform generated from his 3,422 meals in 3+ years, from 5/5/2018 to 6/1/2021, as the comparison base against the three predicted PPG waveforms. There are two final yardsticks to check this study. The first target is to verify the prediction accuracies of the three perturbed PPG values. The second target is to examine the waveform shape similarity via correlation coefficients between the measured PPG dataset or waveform and the three perturbed PPG dataset or waveform.
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More From: Journal of Applied Material Science & Engineering Research
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