Smartwatches for non‐invasive hypoglycaemia detection during cognitive and psychomotor stress-Reference-Cited by-同舟云学术

Smartwatches for non‐invasive hypoglycaemia detection during cognitive and psychomotor stress

Published:2023-12-12 Issue: Volume: Page:
ISSN:1462-8902
Container-title:Diabetes, Obesity and Metabolism
language:en
Short-container-title:Diabetes Obesity Metabolism

Author:

Maritsch Martin¹^ORCID,Föll Simon¹,Lehmann Vera²^ORCID,Styger Naïma²,Bérubé Caterina¹,Kraus Mathias³,Feuerriegel Stefan⁴⁵,Kowatsch Tobias¹⁶⁷,Züger Thomas²⁸,Fleisch Elgar¹⁹,Wortmann Felix⁹,Stettler Christoph²^ORCID

Affiliation:

1. Department of Management, Technology and Economics ETH Zurich Zurich Switzerland

2. Department of Diabetes, Endocrinology, Nutritional Medicine and Metabolism, Inselspital, Bern, University Hospital University of Bern Bern Switzerland

3. School of Business, Economics and Society Friedrich‐Alexander University Erlangen‐Nürnberg Nürnberg Germany

4. Institute of AI in Management, LMU Munich Munich Germany

5. Munich Center for Machine Learning (MCML) Munich Germany

6. Institute for Implementation Science in Health Care University of Zurich Zurich Switzerland

7. School of Medicine University of St Gallen St Gallen Switzerland

8. Department of Endocrinology and Metabolic Diseases Kantonsspital Olten Olten Switzerland

9. Institute of Technology Management University of St Gallen St Gallen Switzerland

Funder

Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung

Publisher

Wiley

Subject

Endocrinology,Endocrinology, Diabetes and Metabolism,Internal Medicine

Reference13 articles.

1. Hypoglycemia and Diabetes: A Report of a Workgroup of the American Diabetes Association and The Endocrine Society

2. Early Detection of Hypoglycemia in Type 1 Diabetes Using Heart Rate Variability Measured by a Wearable Device

3. Effect of Hypoglycemia on Heart Rate Variability in People with Type 1 Diabetes and Impaired Awareness of Hypoglycemia

4. Noninvasive Hypoglycemia Detection in People With Diabetes Using Smartwatch Data