Accepted for/Published in: JMIR mHealth and uHealth
Date Submitted: Oct 19, 2020
Open Peer Review Period: Oct 19, 2020 - Dec 14, 2020
Date Accepted: Mar 11, 2021
(closed for review but you can still tweet)
Mobile and Wearable Sensing for the Monitoring of Diabetes-related Parameters: Systematic Review
ABSTRACT
Background:
Diabetes mellitus is a metabolic disorder suffered by hundreds of millions of people worldwide and causing several million deaths every year. Such a dramatic scenario puts quite some pressure on administrations, care services and the scientific community to seek novel solutions that may help controlling and dealing effectively with this condition and its consequences.
Objective:
This study is aimed at reviewing the literature on the use of modern mobile and wearable technology for monitoring parameters that condition the development and/or evolution of diabetes mellitus.
Methods:
A systematic review of articles published between January 2010 and July 2020 was performed following PRISMA guidelines. Manuscripts indexed in Web of Science and SCOPUS databases were included if they involved the measurement of diabetes-related parameters, such as blood glucose level, performed physical activity or feet condition, via wearable or mobile devices.
Results:
The search yielded 1587 articles. Altogether, 26 publications met the eligibility criteria and were included in the review. Studies used predominantly wearable devices for monitoring diabetes-related parameters. The accelerometer was by far the most used sensor, followed by the glucose monitor and the heart rate monitor. Most studies applied some kind of processing to the collected data mainly consisting of statistical analysis or machine learning for activity recognition, finding associations among health outcomes, and diagnosing conditions related to diabetes. Privacy or security issues were seldom addressed, and if so, at a rather insufficient level.
Conclusions:
The use of mobile and wearable devices for the monitoring of diabetes-related parameters shows early promise. Its development can benefit diabetes patients, healthcare professionals and researchers. To evolve this area future research must pay special attention to privacy and security issues, the use of new emerging sensor technologies, and the combination of mobile and clinical data for a holistic and seamless understanding of the patient's health state.
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Copyright
© The authors. All rights reserved. This is a privileged document currently under peer-review/community review (or an accepted/rejected manuscript). Authors have provided JMIR Publications with an exclusive license to publish this preprint on it's website for review and ahead-of-print citation purposes only. While the final peer-reviewed paper may be licensed under a cc-by license on publication, at this stage authors and publisher expressively prohibit redistribution of this draft paper other than for review purposes.