Noninvasive Hypoglycemia Detection in People With Diabetes Using Smartwatch Data.

Lehmann, Vera; Föll, Simon; Maritsch, Martin; van Weenen, Eva; Kraus, Mathias; Lagger, Sophie; Odermatt, Katja; Albrecht, Caroline; Fleisch, Elgar; Züger, Thomas; Wortmann, Felix; Stettler, Christoph (2023). Noninvasive Hypoglycemia Detection in People With Diabetes Using Smartwatch Data. Diabetes care, 46(5), pp. 993-997. American Diabetes Association 10.2337/dc22-2290

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OBJECTIVE

To develop a noninvasive hypoglycemia detection approach using smartwatch data.

RESEARCH DESIGN AND METHODS

We prospectively collected data from two wrist-worn wearables (Garmin vivoactive 4S, Empatica E4) and continuous glucose monitoring values in adults with diabetes on insulin treatment. Using these data, we developed a machine learning (ML) approach to detect hypoglycemia (<3.9 mmol/L) noninvasively in unseen individuals and solely based on wearable data.

RESULTS

Twenty-two individuals were included in the final analysis (age 54.5 ± 15.2 years, HbA1c 6.9 ± 0.6%, 16 males). Hypoglycemia was detected with an area under the receiver operating characteristic curve of 0.76 ± 0.07 solely based on wearable data. Feature analysis revealed that the ML model associated increased heart rate, decreased heart rate variability, and increased tonic electrodermal activity with hypoglycemia.

CONCLUSIONS

Our approach may allow for noninvasive hypoglycemia detection using wearables in people with diabetes and thus complement existing methods for hypoglycemia detection and warning.

Item Type:

Journal Article (Original Article)

Division/Institute:

04 Faculty of Medicine > Department of Gynaecology, Paediatrics and Endocrinology (DFKE) > Clinic of Endocrinology, Diabetology and Clinical Nutrition

Graduate School:

Graduate School for Cellular and Biomedical Sciences (GCB)

UniBE Contributor:

Lehmann, Vera Franziska, Lagger, Sophie Noelle, Albrecht, Caroline, Züger, Thomas Johannes, Stettler, Christoph

Subjects:

600 Technology > 610 Medicine & health

ISSN:

1935-5548

Publisher:

American Diabetes Association

Language:

English

Submitter:

Pubmed Import

Date Deposited:

23 Feb 2023 11:47

Last Modified:

17 May 2023 00:13

Publisher DOI:

10.2337/dc22-2290

PubMed ID:

36805169

BORIS DOI:

10.48350/179063

URI:

https://boris.unibe.ch/id/eprint/179063

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