A non-invasive, home-based EEG hypoglycaemia warning system for personal monitoring using skin surface electrodes : a single-case feasibility study

Clewett, Christopher J.; Langley, Phillip; Bateson, Anthony D.; Asghar, Aziz; Wilkinson, Antony J.

Abstract

Hypoglycaemia unawareness is a common condition associated with increased risk of severe hypoglycaemia. The purpose of the authors' study was to develop a simple to use, home-based and non-invasive hypoglycaemia warning system based on electroencephalography (EEG), and to demonstrate its use in a single-case feasibility study. Methods: A participant with type 1 diabetes forms a single-person case study where blood sugar levels and EEG were recorded. EEG was recorded using skin surface electrodes placed behind the ear located within the T3 region by the participant in the home. EEG was analysed retrospectively to develop an algorithm which would trigger a warning if EEG changes associated with hypoglycaemia onset were detected. Results: All hypoglycaemia events were detected by the EEG hypoglycaemia warning algorithm. Warnings were triggered with blood glucose concentration levels at or below 4.2 mmol/l in this participant and no warnings were issued when in euglycaemia. Conclusion: The feasibility of a non-invasive EEG-based hypoglycaemia warning system for personal monitoring in the home has been demonstrated in a single case study. The results suggest that further studies are warranted to evaluate the system prospectively in a larger group of participants.

Citation

Clewett, C. J., Langley, P., Bateson, A. D., Asghar, A., & Wilkinson, A. J. (2016). A non-invasive, home-based EEG hypoglycaemia warning system for personal monitoring using skin surface electrodes : a single-case feasibility study. Health Technology Letters, 3(1), 2-5. https://doi.org/10.1049/htl.2015.0037

• Journal Article Type: Article
• Acceptance Date: Feb 8, 2016
• Online Publication Date: Mar 17, 2016
• Publication Date: Mar 1, 2016
• Deposit Date: Feb 17, 2016
• Publicly Available Date: Mar 1, 2016
• Journal: Healthcare technology letters
• Print ISSN: 2053-3713
• Electronic ISSN: 2053-3713
• Publisher: Institution of Engineering and Technology (IET)
• Peer Reviewed: Peer Reviewed
• Volume: 3
• Issue: 1
• Pages: 2-5
• DOI: https://doi.org/10.1049/htl.2015.0037
• Keywords: EEG, Hypoglycaemia, Personal monitoring
• Public URL: https://hull-repository.worktribe.com/output/385529
• Publisher URL: http://digital-library.theiet.org/content/journals/10.1049/htl.2015.0037
• Additional Information: This paper is a postprint of a paper submitted to and accepted for publication in Healthcare technology letters and is subject to Institution of Engineering and Technology Copyright. The copy of record is available at IET Digital Library.