Key result
An IoT-based double moving average algorithm successfully generated notifications before glucose values exceeded WHO limits, avoiding unnecessary alarms.
Why the study?
Existing glucose monitoring proposals do not discard erroneous readings and cannot anticipate critical conditions to prevent complications in elderly patients.
An IoT-based double moving average algorithm can predict critical glucose levels in elderly patients, potentially preventing diabetes complications.
May reduce unnecessary glucose alarms in monitoring; hypothesis-generating and requires prospective validation before clinical adoption.
Diabetes mellitus (DM) is a metabolic disorder characterized by blood glucose levels above normal limits. The impact of this disease on the population has increased in recent years. It is already a public health problem worldwide and one of the leading causes of death. Recently, several proposals have been developed for better and regular monitoring of glucose. However, theses proposals do not discard erroneous readings and they are not able to anticipate a critical condition. In this work, we propose an algorithm based on the double moving average supported by an IoT architecture to prevent possible complications in elderly patients. The algorithm uses historical readings to construct a series. Given a number of periods, it is possible to calculate averages of different subsets and trends for the next periods and, in this way, the prognosis is obtained. With the prognosis, it is possible to notify the doctor and relatives in advance about a possible critical condition in the patient. The aim of our work is to validate the architecture and prognosis algorithm used for elderly persons. Tests of the algorithm and the architecture were performed with different readings and it was shown that the system generated corresponding notifications before the glucose values were higher than those defined by the WHO (World Health Organization), thus avoiding unnecessary alarms.
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Valenzuela et al. (2020) studied Diabetes mellitus. IoT-based glucose monitoring algorithm was evaluated on Generation of notifications before glucose values exceed WHO limits. An IoT-based double moving average algorithm successfully generated notifications before glucose values exceeded WHO limits, avoiding unnecessary alarms.
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