Enhancing the Pulse Contour Analysis-Based Arterial Stiffness Estimation Using a Novel Photoplethysmographic Parameter

Cited 8 time in webofscience Cited 0 time in scopus
  • Hit : 426
  • Download : 0
In this paper, we propose a novel method for enhancing pulse contour analysis-based arterial stiffness estimation using a simple and low-complexity photoplethysmographic parameter (P2Ocd). The method first eliminates baseline wanders in the digital volume pulse (DVP) by applying a simple morphological filter. The filtered DVP signal is then transformed into a slope sum function signal to simplify the pulse peak detection process by enhancing the upslope of the DVP signal while suppressing its downslope. An adaptive thresholding scheme is applied to detect pulse peaks from the transformed signal. Pulse onsets are then identified as the minimum values between consecutive pulse peaks. The P2Ocd is finally calculated by dividing the time interval between the pulse peak and the pulse onset by the pulse length. In order to assess the agreement of the P2Ocd with an established technique, brachial-ankle pulse wave velocity, we performed Bland-Altman and correlation analyses. Furthermore, we evaluated the P2Ocd-based arterial stiffness estimation in terms of prediction accuracy (% error rate) and repeatability (coefficient of variation). The results show that the proposed measurement agrees well with the established technique and shows a high repeatability; it also has a better predictive accuracy than that of conventional methods. In addition, we show that the proposed parameter further improves the predictive accuracy by combining it with age. The proposed method is therefore highly applicable to small ubiquitous healthcare applications.
Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Issue Date
2015-01
Language
English
Article Type
Article
Keywords

DIGITAL VOLUME PULSE; STAGE RENAL-DISEASE; WAVE VELOCITY; AUGMENTATION INDEX; AORTIC STIFFNESS; BRACHIAL-ANKLE; PRESSURE; AGE; REFLECTION; MORTALITY

Citation

IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, v.19, no.1, pp.256 - 262

ISSN
2168-2194
DOI
10.1109/JBHI.2014.2306679
URI
http://hdl.handle.net/10203/195202
Appears in Collection
EE-Journal Papers(저널논문)
Files in This Item
There are no files associated with this item.
This item is cited by other documents in WoS
⊙ Detail Information in WoSⓡ Click to see webofscience_button
⊙ Cited 8 items in WoS Click to see citing articles in records_button

qr_code

  • mendeley

    citeulike


rss_1.0 rss_2.0 atom_1.0