Discrimination of bilateral finger photoplethysmogram responses to reactive hyperemia in diabetic and healthy subjects using a differential vascular model framework

Adib Keikhosravi, Haleh Aghajani, Edmond Zahedi

Research output: Contribution to journalArticle

5 Citations (Scopus)

Abstract

Endothelial dysfunction assessment has received considerable attention due to its potential in early screening of cardiovascular diseases. Since the seminal work by Celermajer in flow-mediated dilation (FMD) based on B-mode ultrasound measurement of the brachial artery dilation following limb ischemia, many attempts have been made toward applying this method to clinical, non-invasive endothelial dysfunction assessment. One major obstacle toward achieving this objective has been the relative high cost of the required setup and skilled manpower. Such limitations have prompted the investigation of other non-invasively accessible signals such as the photoplethysmogram (PPG) in relation to FMD. It is in the above context that this paper proposes to use a modified version of an existing differential model of the human upper vasculature in order to discriminate between healthy and diabetic subjects. PPG from 46 subjects (23 healthy and 23 diabetic) were utilized to identify the model parameters. Once the model parameters were identified, singular value decomposition was applied to reduce the number of features and increase the separability. Finally, a naive Bayes classifier resulted in an overall accuracy of 93.5% (Spec. 87.0% and Sens. 100%). Taking into account subjects' gender further improved the overall accuracy. It is thought that the application of the proposed method to endothelial dysfunction assessment may positively impact the deployment of FMD in clinical settings.

Original languageEnglish
Pages (from-to)513-525
Number of pages13
JournalPhysiological Measurement
Volume34
Issue number5
DOIs
Publication statusPublished - May 2013
Externally publishedYes

Fingerprint

Hyperemia
Fingers
Blood Vessels
Dilatation
Healthy Volunteers
Singular value decomposition
Brachial Artery
Screening
Classifiers
Ultrasonics
Cardiovascular Diseases
Ischemia
Extremities
Costs and Cost Analysis
Costs

Keywords

  • differential modeling
  • endothelial dysfunction
  • flow-mediated dilation
  • output error model
  • photoplethysmogram

ASJC Scopus subject areas

  • Biophysics
  • Physiology
  • Physiology (medical)

Cite this

Discrimination of bilateral finger photoplethysmogram responses to reactive hyperemia in diabetic and healthy subjects using a differential vascular model framework. / Keikhosravi, Adib; Aghajani, Haleh; Zahedi, Edmond.

In: Physiological Measurement, Vol. 34, No. 5, 05.2013, p. 513-525.

Research output: Contribution to journalArticle

@article{6bc5893dff96440eb22fbed04a0a1a51,
title = "Discrimination of bilateral finger photoplethysmogram responses to reactive hyperemia in diabetic and healthy subjects using a differential vascular model framework",
abstract = "Endothelial dysfunction assessment has received considerable attention due to its potential in early screening of cardiovascular diseases. Since the seminal work by Celermajer in flow-mediated dilation (FMD) based on B-mode ultrasound measurement of the brachial artery dilation following limb ischemia, many attempts have been made toward applying this method to clinical, non-invasive endothelial dysfunction assessment. One major obstacle toward achieving this objective has been the relative high cost of the required setup and skilled manpower. Such limitations have prompted the investigation of other non-invasively accessible signals such as the photoplethysmogram (PPG) in relation to FMD. It is in the above context that this paper proposes to use a modified version of an existing differential model of the human upper vasculature in order to discriminate between healthy and diabetic subjects. PPG from 46 subjects (23 healthy and 23 diabetic) were utilized to identify the model parameters. Once the model parameters were identified, singular value decomposition was applied to reduce the number of features and increase the separability. Finally, a naive Bayes classifier resulted in an overall accuracy of 93.5{\%} (Spec. 87.0{\%} and Sens. 100{\%}). Taking into account subjects' gender further improved the overall accuracy. It is thought that the application of the proposed method to endothelial dysfunction assessment may positively impact the deployment of FMD in clinical settings.",
keywords = "differential modeling, endothelial dysfunction, flow-mediated dilation, output error model, photoplethysmogram",
author = "Adib Keikhosravi and Haleh Aghajani and Edmond Zahedi",
year = "2013",
month = "5",
doi = "10.1088/0967-3334/34/5/513",
language = "English",
volume = "34",
pages = "513--525",
journal = "Physiological Measurement",
issn = "0967-3334",
publisher = "IOP Publishing Ltd.",
number = "5",

}

TY - JOUR

T1 - Discrimination of bilateral finger photoplethysmogram responses to reactive hyperemia in diabetic and healthy subjects using a differential vascular model framework

AU - Keikhosravi, Adib

AU - Aghajani, Haleh

AU - Zahedi, Edmond

PY - 2013/5

Y1 - 2013/5

N2 - Endothelial dysfunction assessment has received considerable attention due to its potential in early screening of cardiovascular diseases. Since the seminal work by Celermajer in flow-mediated dilation (FMD) based on B-mode ultrasound measurement of the brachial artery dilation following limb ischemia, many attempts have been made toward applying this method to clinical, non-invasive endothelial dysfunction assessment. One major obstacle toward achieving this objective has been the relative high cost of the required setup and skilled manpower. Such limitations have prompted the investigation of other non-invasively accessible signals such as the photoplethysmogram (PPG) in relation to FMD. It is in the above context that this paper proposes to use a modified version of an existing differential model of the human upper vasculature in order to discriminate between healthy and diabetic subjects. PPG from 46 subjects (23 healthy and 23 diabetic) were utilized to identify the model parameters. Once the model parameters were identified, singular value decomposition was applied to reduce the number of features and increase the separability. Finally, a naive Bayes classifier resulted in an overall accuracy of 93.5% (Spec. 87.0% and Sens. 100%). Taking into account subjects' gender further improved the overall accuracy. It is thought that the application of the proposed method to endothelial dysfunction assessment may positively impact the deployment of FMD in clinical settings.

AB - Endothelial dysfunction assessment has received considerable attention due to its potential in early screening of cardiovascular diseases. Since the seminal work by Celermajer in flow-mediated dilation (FMD) based on B-mode ultrasound measurement of the brachial artery dilation following limb ischemia, many attempts have been made toward applying this method to clinical, non-invasive endothelial dysfunction assessment. One major obstacle toward achieving this objective has been the relative high cost of the required setup and skilled manpower. Such limitations have prompted the investigation of other non-invasively accessible signals such as the photoplethysmogram (PPG) in relation to FMD. It is in the above context that this paper proposes to use a modified version of an existing differential model of the human upper vasculature in order to discriminate between healthy and diabetic subjects. PPG from 46 subjects (23 healthy and 23 diabetic) were utilized to identify the model parameters. Once the model parameters were identified, singular value decomposition was applied to reduce the number of features and increase the separability. Finally, a naive Bayes classifier resulted in an overall accuracy of 93.5% (Spec. 87.0% and Sens. 100%). Taking into account subjects' gender further improved the overall accuracy. It is thought that the application of the proposed method to endothelial dysfunction assessment may positively impact the deployment of FMD in clinical settings.

KW - differential modeling

KW - endothelial dysfunction

KW - flow-mediated dilation

KW - output error model

KW - photoplethysmogram

UR - http://www.scopus.com/inward/record.url?scp=84876938810&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84876938810&partnerID=8YFLogxK

U2 - 10.1088/0967-3334/34/5/513

DO - 10.1088/0967-3334/34/5/513

M3 - Article

VL - 34

SP - 513

EP - 525

JO - Physiological Measurement

JF - Physiological Measurement

SN - 0967-3334

IS - 5

ER -