COMPOSE: Using temporal patterns for interpreting wearable sensor data with computer interpretable guidelines

This paper describes a novel temporal logic-based framework for reasoning with continuous data collected from wearable sensors. The work is motivated by the Metabolic Syndrome, a cluster of conditions which are linked to obesity and unhealthy lifestyle. We assume that, by interpreting the physiological parameters of continuous monitoring, we can identify which patients have a higher risk of Metabolic Syndrome. We define temporal patterns for reasoning with continuous data and specify the coordination mechanisms for combining different sets of clinical guidelines that relate to this condition.

Source: Computers in Biology and Medicine - December 3, 2016 Category: Bioinformatics Authors: V. Urovi, O.J. del Toro, F. Dubosson, A.R. Torres, M.I. Schumacher Source Type: research