Adaptive data analysis: theory and applications

Huang, Norden E.; Daubechies, Ingrid; Hou, Thomas Y.

doi:10.1098/rsta.2015.0207

Cited by 3 publications

(1 citation statement)

References 11 publications

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“…As we know, EEMD interpretation heavily depends on “empirical” knowledge of the signals. In order to appropriately exploit the IMFs from original DVP signals, one has to be certain whether an IMF carries information relevant to the human system [ 28 , 29 ], from which selection of IMFs for further analysis can be made without doubt. Moreover, fluctuations resembling systolic and diastolic peaks were also noted in IMF5.…”

Section: Methodsmentioning

confidence: 99%

Prognosis of Diabetic Peripheral Neuropathy via Decomposed Digital Volume Pulse from the Fingertip

Wei

et al. 2020

Entropy

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Diabetic peripheral neuropathy (DPN) is a very common neurological disorder in diabetic patients. This study presents a new percussion-based index for predicting DPN by decomposing digital volume pulse (DVP) signals from the fingertip. In this study, 130 subjects (50 individuals 44 to 89 years of age without diabetes and 80 patients 37 to 86 years of age with type 2 diabetes) were enrolled. After baseline measurement and blood tests, 25 diabetic patients developed DPN within the following five years. After removing high-frequency noise in the original DVP signals, the decomposed DVP signals were used for percussion entropy index (PEIDVP) computation. Effects of risk factors on the incidence of DPN in diabetic patients within five years of follow-up were tested using binary logistic regression analysis, controlling for age, waist circumference, low-density lipoprotein cholesterol, and the new index. Multivariate analysis showed that patients who did not develop DPN in the five-year period had higher PEIDVP values than those with DPN, as determined by logistic regression model (PEIDVP: odds ratio 0.913, 95% CI 0.850 to 0.980). This study shows that PEIDVP can be a major protective factor in relation to the studied binary outcome (i.e., DPN or not in diabetic patients five years after baseline measurement).

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Section: Methodsmentioning

confidence: 99%