Inspection of EEG Signals for Noninvasive Blood Glucose Monitoring in Prediabetes Diagnosis

Tobore Igbe*, Oluwarotimi Williams Samuel, Jingzhen Li, Frank Kulwa, Abhishek Kandwal, Zedong Nie

*Corresponding author for this work

Research output: Chapter in Book or Report/Conference proceedingConference Proceedingpeer-review

3 Citations (Scopus)

Abstract

Prediabetes is a metabolic disorder where the blood glucose (BG) level is higher than normal but not high as diabetes; early diagnosis can prevent health complications and death. However, to determine the BG level, it is required to prick the finger, which causes pain and discomfort. To eliminate this problem, there is a need to investigate noninvasive techniques to estimate BG values and continuous BG monitoring. In this paper, we investigated the changes in electroencephalogram (EEG) frequency parameters that have been scarcely considered for prediabetes diagnosis. We analyzed EEG signals after carrying out an oral glucose tolerance test on 25 participants. Five frequency bands of EEG signals were obtained continuously in 3 positions; frontal (F), occipital (O), and parental (P). The analysis is performed using a boxplot to examine the pattern of the recorded signals. The result shows that the EEG signal from the O position has a sensitivity of 95.3% in the left hemisphere, the P location has 90.3% in the right hemisphere, and F has 93% in the left hemisphere. This observation shows the appropriate location and the combination of EEG frequency parameters, such as the alpha and beta mean power from O and P, which can be integrated into a wearable device to provide a promising clinical solution for noninvasive blood glucose monitoring and prediabetes diagnosis.

Original languageEnglish
Title of host publication2023 IEEE International Symposium on Medical Measurements and Applications, MeMeA 2023 - Conference Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781665493840
DOIs
Publication statusPublished - 2023
Externally publishedYes
Event2023 IEEE International Symposium on Medical Measurements and Applications, MeMeA 2023 - Jeju, Korea, Republic of
Duration: 14 Jun 202316 Jun 2023

Publication series

Name2023 IEEE International Symposium on Medical Measurements and Applications, MeMeA 2023 - Conference Proceedings

Conference

Conference2023 IEEE International Symposium on Medical Measurements and Applications, MeMeA 2023
Country/TerritoryKorea, Republic of
CityJeju
Period14/06/2316/06/23

Keywords

  • blood glucose
  • diabetes mellitus
  • EEG signal
  • frontal
  • occipital
  • OGTT
  • parental
  • physiological signal

Fingerprint

Dive into the research topics of 'Inspection of EEG Signals for Noninvasive Blood Glucose Monitoring in Prediabetes Diagnosis'. Together they form a unique fingerprint.

Cite this