Detection of Physical Activity Using Machine Learning Methods Based on Continuous Blood Glucose Monitoring and Heart Rate Signals

Detection of Physical Activity Using Machine Learning Methods Based on Continuous Blood Glucose Monitoring and Heart Rate Signals

Non-coordinated physical activity may lead to hypoglycemia, which is a dangerous condition for diabetic people. Decision support systems related to type 1 diabetes mellitus (T1DM) still lack the capability of automated therapy modification by recognizing and categorizing the physical activity. Furth...

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Bibliographic Details
Main Authors: Lehel Dénes-Fazakas, Máté Siket, László Szilágyi, Levente Kovács, György Eigner
Format: Article
Language:English
Published: MDPI AG 2022-11-01
Series:Sensors
Subjects:
diabetes mellitus
machine learning
physical activity detection
Online Access:https://www.mdpi.com/1424-8220/22/21/8568

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