S
T
U
Development of Portable PAOD
Assessment System using Synchronous
Optical Detection
S
T
Chairman: Dr. Hung-Chi Yang
Presenter: Bee-Yen Lim
Adviser: Dr. Yi-Chun Du
1
Outline
٥ Introduction
٥ Literature review
٥ Purposes
٥ Material and Methods
٥ Results
٥ Future Works
٥ References
2
Introduction
Peripheral artery occlusive disease (PAOD)
Peripheral Artery Disease (PAD)
Peripheral Vascular Disease (PVD)
 Atherosclerosis, inflammatory processes leading to
artery stenosis, or thrombus formation.
 Among older people and the risk increases sharply
with age.
 A strong risk factor of other cardiovascular events
and mortality.
3
Literature review
٥ Review of the bilateral differences in timing
parameters for PAOD assessment
When the resistance of peripheral
vessels increases or the vessels are
occlusive, transit time will delay, and
the pulse wave will change in
amplitude (AMP) and shape.
Figure 2 ECG and PPG pulses and pulse landmarks
for a patient with PAOD
For bilateral PPG signals, the right-toleft side differences, such as ΔPTTf,
ΔPTTp, ΔRT, and ΔAMP, are
significant different by diseases.
4
Literature review
٥ These features can be used to detect vascular disease,
because PPG pulse gradually becomes damped,
diminished, and delayed with disease severity.
٥ Compare the PPG analysis methods with Ankle
brachial pressure index (ABPI).
Table 1 Severity classification of PAOD
5
Literature review
Table 2 Normal subject data of ABPI and pulse measurement time parameters
Table 3 The bilateral side different of PTTp and PTTf parameters [12]
6
Future Works
٥ Clinical Test of PAOD
٥ Software Design
٥ Analysis of bilateral differences in timing
parameters
٥ System Verification
7
References
٥ Speckman RA, Frankenfield DL, Roman SH, Eggers PW, Bedinger MR, Rocco
MV, McClellan WM (2004) Diabetes Is the Strongest Risk Factor for LowerExtremity Amputation in New Hemodialysis Patients, Diabetes Care, 27(9): 21982203.
٥ Diabetic neuropathy, http://www.daviddarling.info/encyclopedia
/D/diabetic_neuropathy.html
٥ Willian J Jeffcoate,Keith G Harding (2003) Diabetic foot ulcers, The lancet,
361:1545-1551.
٥ Allen, J (2007) Photoplethysmography and its application in clinical physiological
measurement, Physiological measurement, 28(3):1-39.
٥ Du, Y.C. and Lin, C.H (2012) Adaptive network-based Fuzzy inference system for
assessment of lower limb peripheral vascular occlusive disease, J. Med. Syst,
36(1):301-310.
٥ J.-X. Wu, C.-H. Lin, Y.-C. Du, T. Chen (2012) Sprott chaos synchronisation
classifier for diabetic foot peripheral vascular occlusive disease estimation, IET
Science, Measurement & Technology, 6(6):533-540.
8
References
٥ M. H. Criqu, R. D. Langer., A. Fronek, H. S. Feigelson, M. R. Klauber, T. J.
McCann and D. Browner, “Mortality over a period of 10 years in patients with
peripheral artery disease,” New England Journal of Medicine, vol. 326, pp. 381-6,
1992.
٥ M. H. Criqu, R. D. Langer., A. Fronek, H. S. Feigelson, M. R. Klauber, T. J.
McCann and D. Browner, “The correlation between symptoms and non invasive
test results in patients referred for peripheral arterial disease testing,” Vascular
medicine, vol. 1, pp.65-71, 1996.
٥ Y. Yoon, J. H. Cho and G. Yoon “Non-constrained Blood Pressure Monitoring
Using ECG and PPG for Personal Healthcare,” Journal of Medical Systems, vol. 33,
pp. 261-266 , 2009 .
٥ E. D. Übeyli, D. Cvetkovic and I. Cosic, “AR Spectral Analysis Technique for
Human PPG, ECG and EEG Signals,” Journal of Medical Systems, vol. 32, pp.
201-206, 2008.
9
Thanks for your attention!
10