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 (SpO
₂
), 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.