Extraction and Analysis of features acquired by wearable sensors network

The developed system aims to collect and analyze information valuable for estimating the severity of a health episode regarding patients suffering from chronic diseases. The system addresses a wearable platform, based on multi-parametric sensor data, a device which collects the data and a Smart Assistant Device, responsible for analyzing the collected multi-parametric data and facilitating the monitor of people suffering from chronic diseases in long-stay setting. The wearable platform integrates several sensors collecting information regarding motion, ECG, respiration, oxygen saturation (SpO₂), temperature and various other parameters. The Smart Assistant Device, after applying pre-processing and feature extraction techniques, fuses all sensor acquired data with information inserted by the patient. An Intelligent System is developed to analyze sensors´ acquired and patient inputted data, facilitating data mining techniques, and decides upon the severity of a pathological episode that was appeared to the patient.