University of Oulu

H. Ferdinando, M. Huotari and T. Myllylä, "Photoplethysmography signal analysis to assess obesity, age group and hypertension," 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Berlin, Germany, 2019, pp. 5572-5575. doi: 10.1109/EMBC.2019.8857570

Photoplethysmography signal analysis to assess obesity, age group and hypertension

Saved in:
Author: Ferdinando, Hany1,2; Huotari, Matti3; Myllylä, Teemu4,5
Organizations: 1Research Unit of Medical Imaging, Physics and Technology, University of Oulu, Finland
2Department of Electrical Engineering, Petra Christian University, Indonesia
3Biomimetics and Intelligent Systems Group, University of Oulu, Oulu, Finland
4Research Unit of Medical Imaging, Physics and Technology, University of Oulu, Oulu, Finland
5Measurement Techniques Unit, University of Oulu, Finland
Format: article
Version: accepted version
Access: open
Online Access: PDF Full Text (PDF, 1 MB)
Persistent link: http://urn.fi/urn:nbn:fi-fe202003208627
Language: English
Published: Institute of Electrical and Electronics Engineers, 2019
Publish Date: 2020-03-20
Description:

Abstract

Photoplethysmography (PPG) provides a simple, convenient and noninvasive method to assess pulse oximetry. Several attempts have been made to use PPG also to estimate blood pressure and arterial stiffness. This paper attempts to assess obesity classes, age group, and hypertension classes using PPG measured from the finger. One set of features was derived from the normalized pulse width of PPG and the other from original PPG. The features were calculated based on the pulse decomposition analysis using five lognormal functions and the up-slope of the PPG pulse. Using kNN and SVM as classifiers, the results were validated using leave-one-out validation. Performances of both features sets have no significant difference, and the kNN outperformed the SVM. The best accuracies are 93%, 88%, and 92% for obesity (5 classes), age group (7 classes), and hypertension (4 classes) respectively. These three assessment targets have a strong relationship with arterial stiffness, therefore it also leads to a study about arterial stiffness using PPG. Width normalization to 1 second might affect some features points based on pulse decomposition analysis. This study also found that the up-slope analysis might give good indices when width normalization was employed. However, these findings still require more experiments to gain conclusions that are more comprehensive.

see all

Series: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
ISSN: 2375-7477
ISSN-E: 1557-170X
ISSN-L: 2375-7477
ISBN: 978-1-5386-1311-5
ISBN Print: 978-1-5386-1312-2
Pages: 5572 - 5575
DOI: 10.1109/EMBC.2019.8857570
OADOI: https://oadoi.org/10.1109/EMBC.2019.8857570
Host publication: 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
Conference: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
Type of Publication: A4 Article in conference proceedings
Field of Science: 217 Medical engineering
Subjects:
Funding: Research supported by Academy of Finland Grants 314502 & 318347.
Academy of Finland Grant Number: 314502
318347
Detailed Information: 314502 (Academy of Finland Funding decision)
318347 (Academy of Finland Funding decision)
Copyright information: © 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.