NDLI: Arterial Stiffness Using Radial Arterial Waveforms Measured at the Wrist as an Indicator of Diabetic Control in the Elderly

Content Provider	IEEE Xplore Digital Library
Author	Hsien-Tsai Wu Chun-Ho Lee An-Bang Liu Wei-Sheng Chung Chieh-Ju Tang Cheuk-Kwan Sun Hon-Kan Yip
Copyright Year	1964
Abstract	Although current technique of photoplethysmography (PPG) is a popular noninvasive method of waveform contour analysis in assessing arterial stiffness, data obtained are frequently affected by various environmental and physiological factors. We proposed an easily operable air pressure sensing system (APSS) for radial arterial signal capturing. Totally, 108 subjects (young, the aged with or without diabetes) were recruited from July 2009 to May 2010. Arterial waveform signals from the wrist were obtained and analyzed using Hilbert-Huang transformation (HHT). Through ensemble empirical mode decomposition (EEMD), the signals were decomposed into eight intrinsic mode functions (IMF1-8) of which IMF5 was found to be the desired signal with a discernible diastolic peak. The results showed significant differences in reflection index (RI) and stiffness index (SI) from the young subjects and those from the aged participants with or without diabetes. Significant differences in RI and SI were also noted between subjects with well-controlled diabetes and those without. Good reproducibility and correlation were demonstrated. In conclusion, the present study proposed the application of radial arterial signal capturing subsystem and HHT in acquiring more reliable data on RI and SI compared with the conventional PPG method.
Sponsorship	IEEE Engineering in Medicine and Biology Society
Page Count	10
File Size	684329
Starting Page	243
Ending Page	252
File Format	PDF
ISSN	00189294
Volume Number	58
Issue Number	2
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-02-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Silicon Diabetes Arteries Time frequency analysis Wrist White noise Fingers waveform contour analysis Air pressure sensing system (APSS) arterial stiffness ensemble empirical mode decomposition (EEMD) Hilbert–Huang transformation (HHT) reflection index (RI) stiffness index (SI)
Content Type	Text
Resource Type	Article
Subject	Biomedical Engineering

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