Identification of Movements and Postures Using Wearable Sensors for Implementation in a Bi-Hormonal Artificial Pancreas System

Identification of Movements and Postures Using Wearable Sensors for Implementation in a Bi-Hormonal Artificial Pancreas System

Background: Closed loop bi-hormonal artificial pancreas systems, such as the artificial pancreas (AP™) developed by Inreda Diabetic B.V., control blood glucose levels of type 1 diabetes mellitus patients via closed loop regulation. As the AP™ currently does not classify postures and movements to est...

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Bibliographic Details
Main Authors: Ben Sawaryn, Michel Klaassen, Bert-Jan van Beijnum, Hans Zwart, Peter H. Veltink
Format: Article
Language:English
Published: MDPI AG 2021-09-01
Series:Sensors
Subjects:
artificial pancreas
classification algorithms
inertial sensing
posture identification
movement identification
type 1 diabetes mellitus
Online Access:https://www.mdpi.com/1424-8220/21/17/5954

Internet

https://www.mdpi.com/1424-8220/21/17/5954

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