Why the study?
Does applying ensemble empirical mode decomposition (EEMD) to air pressure sensing system (APSS) waveforms improve the assessment of diabetic endothelial dysfunction in the elderly?
Does applying ensemble empirical mode decomposition (EEMD) to air pressure sensing system (APSS) waveforms improve the assessment of diabetic endothelial dysfunction in the elderly?
Applying EEMD signal processing to APSS arterial waveforms improves the clinical validity of evaluating endothelial function, offering a potential tool for assessing diabetic patients.
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May support EEMD-enhanced APSS for endothelial assessment in elderly diabetics; hypothesis-generating and should not yet change practice.
Although air pressure sensing system (APSS) is a reliable means of assessing vascular endothelial function with high reproducibility, it cannot distinguish between the effects of age and diabetes. This paper aimed at investigating the potential benefit of utilizing signal-processing technique in improving the clinical validity of APSS. Arterial waveforms acquired from the left wrist before and after induction of reactive hyperemia over the left arm were recorded using APSS. Values of dilatation index (DI) were calculated and compared before (DIORIGINAL) and after (DIEEMD) ensemble empirical mode decomposition (EEMD). Compared withDIORIGINAL,DIEEMDshowed better negative correlations with anthropometric, hemodynamic, and biochemical parameters (allPDIORIGINAL,DIEEMDsignificantly distinguished between the two groups of testing subjects (P= 0.008). EEMD further refined the validity of DI obtained through APSS, which is a simple self-operable system in evaluating endothelial function for the general public. It may also serve as an assessment tool for clinicians to implement timely therapeutic measures for diabetic patients.
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Wu et al. (2011) studied this question.
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