People with DM are more likely to have other major health problems. Privacy or security issues were seldom addressed, and even if they were addressed, they were addressed at a rather insufficient level.ĭiabetes mellitus (DM) is a metabolic disorder primarily characterized by high blood glucose levels (GLs). Explicit endorsement by ethics committees or review boards was missing in most studies. Clinical trials were fairly limited or nonexistent in most of the studies, with a common lack of detail about cohorts and case selection, comparability, and outcomes. None of the studies focused on common diabetes complications. Few studies have focused on type 2 diabetes, even when this is the most prevalent type and the only preventable one. Most studies applied some type 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. The accelerometer was by far the most used sensor, followed by the glucose monitor and heart rate monitor. Studies predominantly used wearable devices to monitor diabetes-related parameters. A total of 26 publications met the eligibility criteria and were included in the review.
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