Detail publikace

Estimation of blood glucose level based on PPG signals measured by smart devices

VARGOVÁ, E. NĚMCOVÁ, A.

Originální název

Estimation of blood glucose level based on PPG signals measured by smart devices

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

Originální abstrakt

This paper deals with the possibilities of non-invasive determination of blood glucose from photoplethysmographic signals. Monitoring blood sugar is the most important part of managing diabetes. Diabetes is one of the world’s major chronic diseases. Untreated diabetes is often a cause of death. Two datasets have been created by recording the photoplethysmographic signals of 16 people using two smart devices (a smart wristband and a smartphone), along with their blood glucose levels measured in an invasive way. The photoplethysmographic signals were preprocessed, and suitable features were extracted from them. The aim of the work is to propose methods for glycemic classification and prediction. Various machine-learning models were created. The best model for classifying blood glucose into two groups (low blood glucose and high blood glucose) is random forest, which achieves an F1 score of 84% and 80% on two different test sets obtained from two smart devices. The best blood glucose level prediction model is also based on random forest and achieves an MAE of 1.02 mmol/l and 1.17 mmol/l on both testing datasets.

Klíčová slova

PPG; glycemia; diabetes; smartphone; smart devices; classification; prediction

Autoři

VARGOVÁ, E.; NĚMCOVÁ, A.

Vydáno

25. 4. 2023

Nakladatel

Brno University of Technology, Faculty of Elektronic Engineering and Communication

Místo

Brno

ISBN

978-80-214-6154-3

Kniha

Proceedings II of the 29 th Conference STUDENT EEICT 2023 Selected papers

Edice

1st Edition

ISSN

2788-1334

Periodikum

Proceedings II of the Conference STUDENT EEICT

Stát

Česká republika

Strany od

137

Strany do

140

Strany počet

4

URL

https://www.eeict.cz/eeict_download/archiv/sborniky/EEICT_2023_sbornik_2_v2.pdf

BibTex

@inproceedings{BUT184326,
  author="Enikö {Vargová} and Andrea {Němcová}",
  title="Estimation of blood glucose level based on PPG signals measured by smart devices",
  booktitle="Proceedings II of the 29 th Conference STUDENT EEICT 2023 Selected papers",
  year="2023",
  series="1st Edition",
  journal="Proceedings II of the Conference STUDENT EEICT",
  pages="137--140",
  publisher="Brno University of Technology, Faculty of Elektronic Engineering and Communication",
  address="Brno",
  doi="10.13164/eeict.2023.137",
  isbn="978-80-214-6154-3",
  issn="2788-1334",
  url="https://www.eeict.cz/eeict_download/archiv/sborniky/EEICT_2023_sbornik_2_v2.pdf"
}