February 25, 2025Journal of Diabetes Science and Technology9 citationsOpen Access

Toward Detection of Nocturnal Hypoglycemia in People With Diabetes Using Consumer-Grade Smartwatches and a Machine Learning Approach

CMCamila MéndezUniversity of Bern CKCeren Asli KaykayogluUniversity of Bern TBThiemo BählerUniversity of Bern

Structured PICO

Can consumer-grade smartwatches and machine learning detect nocturnal hypoglycemia in people with diabetes?

Population

People with diabetes

Intervention

Consumer-grade smartwatches and a machine learning approach

Outcome

Detection of nocturnal hypoglycemia

Consumer-grade smartwatches using machine learning show promise as low-cost, accessible tools to complement continuous glucose monitoring for detecting nocturnal hypoglycemia.

Abstract

Consumer-grade smartwatches demonstrate promise for detecting nocturnal hypoglycemia, particularly during early sleep. Refining models to reduce false alarms could enhance their clinical utility as low-cost, accessible tools to complement CGM.

KI fragen

Bookmark

View Full Paper