Method and device for processing glycemia level data by means of self-adaptive filtering, predicting the future glycemia level and generating alerts

It is described a method and device for processing glycemia level data, by means of self-adaptive filtering, future glycemia level prediction and alert generation. The device is portable and small-sized, and used in combination with Continuous Glucose Monitoring (CGM) devices, thus allowing to integrate and improve the information provided thereby. The device incorporates three innovative modules, based on statistic base algorithms for: filtering data in order to reduce the entity of the noise present therein, adapting to the sensor to the individual and to the SNR evolution during the monitoring step, preferably by means of a “self-tuning” procedure of the filter parameters in real time and on statistic basis, with the determination of the confidence interval on the filtered glycemia level; predicting the future glycemia level with its confidence interval; generating alerts for preventing hypo-/hyperglycemia episodes based on the previously acquired statistic information.