Identification of Physical Activity Type in People with Diabetes: A Spectrogram-Based Approach
Background: Individuals with type 1 diabetes (T1D) require close glucose monitoring to prevent both short- and long-term complications. Physical activity (PA) is a significant source of variability in metabolic dynamics, leading to glycemic fluctuations that depend on the type, intensity, and duration of the exercise. Accurately monitoring and classifying the type of PA is crucial for optimizing glycemic control and minimizing the risk of hypoglycemia.
Authors
- Fernando A. Inthamoussou (ORCID: https://orcid.org/0000-0001-5191-6981)
- Marcos D. Saavedra (ORCID: https://orcid.org/0009-0003-5980-6359)
- Fabricio Garelli (ORCID: https://orcid.org/0000-0002-8473-1569)
- Emilia Fushimi (ORCID: https://orcid.org/0000-0001-5820-3108)
Institutions
- Universidad Nacional de La Plata (AR)
Publication Details
- Journal
- Diabetes Technology and Obesity Medicine
- Published
- 2025-03-01
- DOI
- https://doi.org/10.1177/29941520251358842
- Primary Topic
- Heart Rate Variability and Autonomic Control
- Type
- article
- Field-Weighted Citation Impact
- 0.00