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Classification of patients with Alzheimer’s disease using the arterial pulse spectrum and a multilayer-perceptron analysis

Cerebrovascular atherosclerosis has been identified as a prominent pathological feature of Alzheimer’s disease (AD); the link between vessel pathology and AD risk may also extend to extracranial arteries. This study aimed to determine the effectiveness of using arterial pulse-wave measurements and m...

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Autores principales: Lin, Shun-Ku, Hsiu, Hsin, Chen, Hsi-Sheng, Yang, Chang-Jen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8076260/
https://www.ncbi.nlm.nih.gov/pubmed/33903610
http://dx.doi.org/10.1038/s41598-021-87903-7
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author Lin, Shun-Ku
Hsiu, Hsin
Chen, Hsi-Sheng
Yang, Chang-Jen
author_facet Lin, Shun-Ku
Hsiu, Hsin
Chen, Hsi-Sheng
Yang, Chang-Jen
author_sort Lin, Shun-Ku
collection PubMed
description Cerebrovascular atherosclerosis has been identified as a prominent pathological feature of Alzheimer’s disease (AD); the link between vessel pathology and AD risk may also extend to extracranial arteries. This study aimed to determine the effectiveness of using arterial pulse-wave measurements and multilayer perceptron (MLP) analysis in distinguishing between AD and control subjects. Radial blood pressure waveform (BPW) and finger photoplethysmography signals were measured noninvasively for 3 min in 87 AD patients and 74 control subjects. The 5-layer MLP algorithm employed evaluated the following 40 harmonic pulse indices: amplitude proportion and its coefficient of variation, and phase angle and its standard deviation. The BPW indices differed significantly between the AD patients (6247 pulses) and control subjects (6626 pulses). Significant intergroup differences were found between mild, moderate, and severe AD (defined by Mini-Mental-State-Examination scores). The hold-out test results indicated an accuracy of 82.86%, a specificity of 92.31%, and a 0.83 AUC of ROC curve when using the MLP-based classification between AD and Control. The identified differences can be partly attributed to AD-induced changes in vascular elastic properties. The present findings may be meaningful in facilitating the development of a noninvasive, rapid, inexpensive, and objective method for detecting and monitoring the AD status.
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spelling pubmed-80762602021-04-27 Classification of patients with Alzheimer’s disease using the arterial pulse spectrum and a multilayer-perceptron analysis Lin, Shun-Ku Hsiu, Hsin Chen, Hsi-Sheng Yang, Chang-Jen Sci Rep Article Cerebrovascular atherosclerosis has been identified as a prominent pathological feature of Alzheimer’s disease (AD); the link between vessel pathology and AD risk may also extend to extracranial arteries. This study aimed to determine the effectiveness of using arterial pulse-wave measurements and multilayer perceptron (MLP) analysis in distinguishing between AD and control subjects. Radial blood pressure waveform (BPW) and finger photoplethysmography signals were measured noninvasively for 3 min in 87 AD patients and 74 control subjects. The 5-layer MLP algorithm employed evaluated the following 40 harmonic pulse indices: amplitude proportion and its coefficient of variation, and phase angle and its standard deviation. The BPW indices differed significantly between the AD patients (6247 pulses) and control subjects (6626 pulses). Significant intergroup differences were found between mild, moderate, and severe AD (defined by Mini-Mental-State-Examination scores). The hold-out test results indicated an accuracy of 82.86%, a specificity of 92.31%, and a 0.83 AUC of ROC curve when using the MLP-based classification between AD and Control. The identified differences can be partly attributed to AD-induced changes in vascular elastic properties. The present findings may be meaningful in facilitating the development of a noninvasive, rapid, inexpensive, and objective method for detecting and monitoring the AD status. Nature Publishing Group UK 2021-04-26 /pmc/articles/PMC8076260/ /pubmed/33903610 http://dx.doi.org/10.1038/s41598-021-87903-7 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Lin, Shun-Ku
Hsiu, Hsin
Chen, Hsi-Sheng
Yang, Chang-Jen
Classification of patients with Alzheimer’s disease using the arterial pulse spectrum and a multilayer-perceptron analysis
title Classification of patients with Alzheimer’s disease using the arterial pulse spectrum and a multilayer-perceptron analysis
title_full Classification of patients with Alzheimer’s disease using the arterial pulse spectrum and a multilayer-perceptron analysis
title_fullStr Classification of patients with Alzheimer’s disease using the arterial pulse spectrum and a multilayer-perceptron analysis
title_full_unstemmed Classification of patients with Alzheimer’s disease using the arterial pulse spectrum and a multilayer-perceptron analysis
title_short Classification of patients with Alzheimer’s disease using the arterial pulse spectrum and a multilayer-perceptron analysis
title_sort classification of patients with alzheimer’s disease using the arterial pulse spectrum and a multilayer-perceptron analysis
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8076260/
https://www.ncbi.nlm.nih.gov/pubmed/33903610
http://dx.doi.org/10.1038/s41598-021-87903-7
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