Evaluating impact of movement on diabetes via artificial intelligence and smart devices systematic literature review
Author:
Funder
University of York
National Institute for Health and Care Research
European Commission
Publisher
Elsevier BV
Reference43 articles.
1. A personalized healthcare monitoring system for diabetic patients by utilizing BLE-based sensors and real-time data processing;Alfian;Sensors,2018
2. Detection and classification of unannounced physical activities and acute psychological stress events for interventions in diabetes treatment;Askari;Algorithms,2022
3. Prediction of nocturnal hypoglycemia in adults with type 1 diabetes under multiple daily injections using continuous glucose monitoring and physical activity monitor;Bertachi;Sensors,2020
4. The associations of COVID-19 lockdown restrictions with longer-term activity levels of working adults with type 2 diabetes: Cohort study;Brakenridge;JMIR Diabetes,2022
5. Activity detection and classification from wristband accelerometer data collected on people with type 1 diabetes in free-living conditions;Cescon;Computers in Biology and Medicine,2021
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