Assessment of peripheral vascular occlusive disease using adaptive network-based fuzzy inference system

Chia Hung Lin; Shih Ming Pan; Yi Chun Du

doi:10.1109/3CA.2010.5533565

Assessment of peripheral vascular occlusive disease using adaptive network-based fuzzy inference system

Chia Hung Lin, Shih Ming Pan, Yi Chun Du

Department of Biomedical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

This paper proposes the assessment of diabetic foot using adaptive network-based fuzzy inference system (ANFIS). Diabetic foot occurs due to peripheral vascular occlusive disease (PVOD) and leads to disable claudication and gangrene. According to previous study, the transit timing, shape waveforms, and normalized amplitudes of photoplethysmography (PPG) signals tend to increase with PVOD severity. An ANFIS is proposed to assess PVOD using the absolute bilateral differences of the timing parameters ΔPTT_f, ΔPTT_p, and ΔRT. For twenty subjects, including normal condition (Nor), lower-grade disease (LG), and higher-grade disease (HG) groups, the results will show high accuracy for PVOD assessment.

Original language	English
Title of host publication	3CA 2010 - 2010 International Symposium on Computer, Communication, Control and Automation
Pages	223-226
Number of pages	4
DOIs	https://doi.org/10.1109/3CA.2010.5533565
Publication status	Published - 2010
Event	2010 International Symposium on Computer, Communication, Control and Automation, 3CA 2010 - Tainan, Taiwan Duration: 2010 May 5 → 2010 May 7

Publication series

Name	3CA 2010 - 2010 International Symposium on Computer, Communication, Control and Automation
Volume	2

Other

Other	2010 International Symposium on Computer, Communication, Control and Automation, 3CA 2010
Country/Territory	Taiwan
City	Tainan
Period	10-05-05 → 10-05-07

All Science Journal Classification (ASJC) codes

Computer Networks and Communications
Hardware and Architecture
Control and Systems Engineering

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1109/3CA.2010.5533565

Cite this

Lin, C. H., Pan, S. M., & Du, Y. C. (2010). Assessment of peripheral vascular occlusive disease using adaptive network-based fuzzy inference system. In 3CA 2010 - 2010 International Symposium on Computer, Communication, Control and Automation (pp. 223-226). [5533565] (3CA 2010 - 2010 International Symposium on Computer, Communication, Control and Automation; Vol. 2). https://doi.org/10.1109/3CA.2010.5533565

@inproceedings{9d67299177f04fc2b2f4cbdfbd866677,

title = "Assessment of peripheral vascular occlusive disease using adaptive network-based fuzzy inference system",

abstract = "This paper proposes the assessment of diabetic foot using adaptive network-based fuzzy inference system (ANFIS). Diabetic foot occurs due to peripheral vascular occlusive disease (PVOD) and leads to disable claudication and gangrene. According to previous study, the transit timing, shape waveforms, and normalized amplitudes of photoplethysmography (PPG) signals tend to increase with PVOD severity. An ANFIS is proposed to assess PVOD using the absolute bilateral differences of the timing parameters ΔPTTf, ΔPTTp, and ΔRT. For twenty subjects, including normal condition (Nor), lower-grade disease (LG), and higher-grade disease (HG) groups, the results will show high accuracy for PVOD assessment.",

author = "Lin, {Chia Hung} and Pan, {Shih Ming} and Du, {Yi Chun}",

note = "Copyright: Copyright 2010 Elsevier B.V., All rights reserved.; 2010 International Symposium on Computer, Communication, Control and Automation, 3CA 2010 ; Conference date: 05-05-2010 Through 07-05-2010",

year = "2010",

doi = "10.1109/3CA.2010.5533565",

language = "English",

isbn = "9781424455669",

series = "3CA 2010 - 2010 International Symposium on Computer, Communication, Control and Automation",

pages = "223--226",

booktitle = "3CA 2010 - 2010 International Symposium on Computer, Communication, Control and Automation",

}

Lin, CH, Pan, SM & Du, YC 2010, Assessment of peripheral vascular occlusive disease using adaptive network-based fuzzy inference system. in 3CA 2010 - 2010 International Symposium on Computer, Communication, Control and Automation., 5533565, 3CA 2010 - 2010 International Symposium on Computer, Communication, Control and Automation, vol. 2, pp. 223-226, 2010 International Symposium on Computer, Communication, Control and Automation, 3CA 2010, Tainan, Taiwan, 10-05-05. https://doi.org/10.1109/3CA.2010.5533565

Assessment of peripheral vascular occlusive disease using adaptive network-based fuzzy inference system. / Lin, Chia Hung; Pan, Shih Ming; Du, Yi Chun.

3CA 2010 - 2010 International Symposium on Computer, Communication, Control and Automation. 2010. p. 223-226 5533565 (3CA 2010 - 2010 International Symposium on Computer, Communication, Control and Automation; Vol. 2).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Assessment of peripheral vascular occlusive disease using adaptive network-based fuzzy inference system

AU - Lin, Chia Hung

AU - Pan, Shih Ming

AU - Du, Yi Chun

PY - 2010

Y1 - 2010

N2 - This paper proposes the assessment of diabetic foot using adaptive network-based fuzzy inference system (ANFIS). Diabetic foot occurs due to peripheral vascular occlusive disease (PVOD) and leads to disable claudication and gangrene. According to previous study, the transit timing, shape waveforms, and normalized amplitudes of photoplethysmography (PPG) signals tend to increase with PVOD severity. An ANFIS is proposed to assess PVOD using the absolute bilateral differences of the timing parameters ΔPTTf, ΔPTTp, and ΔRT. For twenty subjects, including normal condition (Nor), lower-grade disease (LG), and higher-grade disease (HG) groups, the results will show high accuracy for PVOD assessment.

AB - This paper proposes the assessment of diabetic foot using adaptive network-based fuzzy inference system (ANFIS). Diabetic foot occurs due to peripheral vascular occlusive disease (PVOD) and leads to disable claudication and gangrene. According to previous study, the transit timing, shape waveforms, and normalized amplitudes of photoplethysmography (PPG) signals tend to increase with PVOD severity. An ANFIS is proposed to assess PVOD using the absolute bilateral differences of the timing parameters ΔPTTf, ΔPTTp, and ΔRT. For twenty subjects, including normal condition (Nor), lower-grade disease (LG), and higher-grade disease (HG) groups, the results will show high accuracy for PVOD assessment.

UR - http://www.scopus.com/inward/record.url?scp=77956128256&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=77956128256&partnerID=8YFLogxK

U2 - 10.1109/3CA.2010.5533565

DO - 10.1109/3CA.2010.5533565

M3 - Conference contribution

AN - SCOPUS:77956128256

SN - 9781424455669

T3 - 3CA 2010 - 2010 International Symposium on Computer, Communication, Control and Automation

SP - 223

EP - 226

BT - 3CA 2010 - 2010 International Symposium on Computer, Communication, Control and Automation

T2 - 2010 International Symposium on Computer, Communication, Control and Automation, 3CA 2010

Y2 - 5 May 2010 through 7 May 2010

ER -

Lin CH, Pan SM, Du YC. Assessment of peripheral vascular occlusive disease using adaptive network-based fuzzy inference system. In 3CA 2010 - 2010 International Symposium on Computer, Communication, Control and Automation. 2010. p. 223-226. 5533565. (3CA 2010 - 2010 International Symposium on Computer, Communication, Control and Automation). doi: 10.1109/3CA.2010.5533565

Assessment of peripheral vascular occlusive disease using adaptive network-based fuzzy inference system

Abstract

Publication series

Other

All Science Journal Classification (ASJC) codes

UN SDGs

Access to Document

Other files and links

Fingerprint

Cite this