The System Designed for Elderly Vital Signals Monitoring

Abstract

The main aim of this work was developing the hardware and software of system for simultaneously recording and on-line analysis of physiological and biomechanical processes: three ECG leads, two oxygen saturation and three accelerometer signals. The developed algorithms allow input signals pre-processing, recognition of ECG waves, measurement of ECG parameters, calculates oxygen saturation values and evaluates patient activity from the accelerometer signals in real time. The decision about patient state changes from the calculated parameters is made using the convolution of Mealy and Moore automata. In case of appearance of dangerous situation pocket computer sends the alarm signal to patient and analysis results to physician server. Decision making about person functional state will be performed by principles which are based on methodology of distributed intellect. Physician computer makes more detailed analysis of person functional state off-line by using multi-stage non-linear analysis methods and evaluation of complexity changes as measure of human organism status. The developed mobile patient recorder and software were tested by voluntary elderly patients. The exceptional feature of developed data monitoring system is analysis of multi processes in some functional connections of investigated persons. Integrated assessment of person functional state is adapted for user requirements in individual level. If patient is in danger situation or needs external help, the data could be sent to medical service center.