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Areas under peripheral pulse waves: a potential marker of atherosclerotic changes

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Areas under peripheral pulse waves : a potential marker of atherosclerotic changes. / Peltokangas, Mikko; Verho, Jarmo; Mattila, Ville M; Romsi, Pekka; Vehkaoja, Antti; Lekkala, Jukka; Oksala, Niku.

In: Physiological Measurement, Vol. 39, No. 2, 02.2018.

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Peltokangas, Mikko ; Verho, Jarmo ; Mattila, Ville M ; Romsi, Pekka ; Vehkaoja, Antti ; Lekkala, Jukka ; Oksala, Niku. / Areas under peripheral pulse waves : a potential marker of atherosclerotic changes. In: Physiological Measurement. 2018 ; Vol. 39, No. 2.

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@article{2a224d66ee184cc19d021e675a353254,
title = "Areas under peripheral pulse waves: a potential marker of atherosclerotic changes",
abstract = "OBJECTIVE: In this study, we propose a method for finding atherosclerotic changes based on the ratios of areas under peripheral arterial pulse wave (PW) contours and analyze its performance.APPROACH: The PW signals were recorded with force sensors and photoplethysmographic sensors from ankle, wrist, cubital fossa, index finger and second toe from 30 atherosclerotic patients and 52 control subjects. In addition, day-to-day repeatability of the method was studied with 10 test subjects examined on 3 different days. The ratios of areas under the PWs were computed and the results were evaluated by means of receiver operating characteristic (ROC) analysis, intra-class correlation (ICC) coefficient and multiple linear regression analysis.MAIN RESULTS: Areas under ROC curves of 0.802-0.906 were found for different area ratios having statistically significant differences between the atheroslerotic group and control groups. ICCs over 0.80 were found widely for the beat-by-beat analyzed data and over 0.95 for the data based on the averages over different numbers of PWs. Multiple linear regression analysis showed linear dependence between the area ratios and age and the diagnosis of atherosclerosis.SIGNIFICANCE: Our findings may facilitate development of novel diagnostic approaches and preventive strategies against cardiovascular disorders. However, further studies are needed to confirm the results. The presented study demonstrates the potential of arterial PW analysis in finding vascular abnormalities.&#13.",
keywords = "Journal Article",
author = "Mikko Peltokangas and Jarmo Verho and Mattila, {Ville M} and Pekka Romsi and Antti Vehkaoja and Jukka Lekkala and Niku Oksala",
note = "{\circledC} 2017 Institute of Physics and Engineering in Medicine.",
year = "2018",
month = "2",
doi = "10.1088/1361-6579/aaa46b",
language = "English",
volume = "39",
journal = "Physiological Measurement",
issn = "0967-3334",
publisher = "IOP Publishing",
number = "2",

}

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TY - JOUR

T1 - Areas under peripheral pulse waves

T2 - a potential marker of atherosclerotic changes

AU - Peltokangas, Mikko

AU - Verho, Jarmo

AU - Mattila, Ville M

AU - Romsi, Pekka

AU - Vehkaoja, Antti

AU - Lekkala, Jukka

AU - Oksala, Niku

N1 - © 2017 Institute of Physics and Engineering in Medicine.

PY - 2018/2

Y1 - 2018/2

N2 - OBJECTIVE: In this study, we propose a method for finding atherosclerotic changes based on the ratios of areas under peripheral arterial pulse wave (PW) contours and analyze its performance.APPROACH: The PW signals were recorded with force sensors and photoplethysmographic sensors from ankle, wrist, cubital fossa, index finger and second toe from 30 atherosclerotic patients and 52 control subjects. In addition, day-to-day repeatability of the method was studied with 10 test subjects examined on 3 different days. The ratios of areas under the PWs were computed and the results were evaluated by means of receiver operating characteristic (ROC) analysis, intra-class correlation (ICC) coefficient and multiple linear regression analysis.MAIN RESULTS: Areas under ROC curves of 0.802-0.906 were found for different area ratios having statistically significant differences between the atheroslerotic group and control groups. ICCs over 0.80 were found widely for the beat-by-beat analyzed data and over 0.95 for the data based on the averages over different numbers of PWs. Multiple linear regression analysis showed linear dependence between the area ratios and age and the diagnosis of atherosclerosis.SIGNIFICANCE: Our findings may facilitate development of novel diagnostic approaches and preventive strategies against cardiovascular disorders. However, further studies are needed to confirm the results. The presented study demonstrates the potential of arterial PW analysis in finding vascular abnormalities.&#13.

AB - OBJECTIVE: In this study, we propose a method for finding atherosclerotic changes based on the ratios of areas under peripheral arterial pulse wave (PW) contours and analyze its performance.APPROACH: The PW signals were recorded with force sensors and photoplethysmographic sensors from ankle, wrist, cubital fossa, index finger and second toe from 30 atherosclerotic patients and 52 control subjects. In addition, day-to-day repeatability of the method was studied with 10 test subjects examined on 3 different days. The ratios of areas under the PWs were computed and the results were evaluated by means of receiver operating characteristic (ROC) analysis, intra-class correlation (ICC) coefficient and multiple linear regression analysis.MAIN RESULTS: Areas under ROC curves of 0.802-0.906 were found for different area ratios having statistically significant differences between the atheroslerotic group and control groups. ICCs over 0.80 were found widely for the beat-by-beat analyzed data and over 0.95 for the data based on the averages over different numbers of PWs. Multiple linear regression analysis showed linear dependence between the area ratios and age and the diagnosis of atherosclerosis.SIGNIFICANCE: Our findings may facilitate development of novel diagnostic approaches and preventive strategies against cardiovascular disorders. However, further studies are needed to confirm the results. The presented study demonstrates the potential of arterial PW analysis in finding vascular abnormalities.&#13.

KW - Journal Article

U2 - 10.1088/1361-6579/aaa46b

DO - 10.1088/1361-6579/aaa46b

M3 - Article

VL - 39

JO - Physiological Measurement

JF - Physiological Measurement

SN - 0967-3334

IS - 2

ER -