Paper Info
Title
MyDi application: Towards automatic activity annotation of young patients with Type 1 diabetes
Abstract
Type I diabetes mellitus (T1DM) is a widespread metabolic disorder characterized by pancreatic insufficiency. People with T1DM require: a lifelong insulin injection, to constantly monitor glycemia and to take note of their activities. This continuous follow-up, especially at a very young age, may be challenging. Adolescents with T1DM may develop anxiety symptoms and depression which can lead to the loss of glycemic control. An assistive technology that automatizes the activity monitoring process could support these young patient in managing T1DM. The aim of this work is to present the MyDi framework which integrates a smart glycemic diary (for Android users), to automatically record and store patient's activity via pictures and a deep-learning (DL)-based technology able to classify the activity performed by the patients (i.e., meal and sport) via picture analysis. The proposed approach was tested on two different datasets, the Insta-Dataset with 3498 pictures (also used for training and validating the DL model) and the MyDi-Dataset with 126 pictures, achieving very encouraging results in both cases (Prec <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">i</sub> = 1.0, Rec <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">i</sub> = 1.0, f1 <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">i</sub> = 1.0 with i E C:[meal, sport]) prompting the possibility of translating this application in the T1DM monitoring process.
Year
DOI
Venue
2019
10.1109/ISCE.2019.8901017
2019 IEEE 23rd International Symposium on Consumer Technologies (ISCT)
Keywords
DocType
ISSN
Type I Diabetes Mellitus,activity recognition,automatic activity annotation,picture analysis,deep learning
Conference
0747-668X
ISBN
Citations 
PageRank 
978-1-7281-3571-7
0
0.34
References 
Authors
2
5
Name
Order
Citations
PageRank
Lucia Migliorelli101.69
Sara Moccia2389.44
Ismaela Avellino300.34
Maria Chiara Fiorentino400.34
Emanuele Frontoni524847.04