Non-invasive Monitoring of Elderly Persons

​Jakub Wagner, born in 1988 (Poland), received the M.Sc. degree in biomedical engineering in 2013, and the Ph.D. degree in electronics in 2020, both from Warsaw University of Technology (Poland) where he is currently employed as Assistant Professor. His scientific activities are focused on biomedical and healthcare applications of mathematical tools for analysis of measurement data. He has participated in a series of research projects devoted to healthcare-oriented monitoring of independently-living elderly persons.Paweł Mazurek, born in 1989 (Poland), received the M.Sc. degree in telecommunications, in 2014, and Ph.D. degree in electronics in 2019, from Warsaw University of Technology (Poland) where he is currently employed as Assistant Professor. His research interests include the preprocessing and integration of measurement data acquired by means of impulse-radar sensors and infrared depth sensors when applied for unobtrusive monitoring of elderly persons.Roman Z. Morawski, born in 1949 (Poland), Professor of Measurement Science at Warsaw University of Technology, has fifty-year research experience in the field of measurement data modelling and processing, including the development and implementation of algorithms for processing data from various kinds of spectrometric, optoelectronic, acoustic and microwave sensors. He has also considerable experience related to industrial research and development, comprising: the development of algorithms for seismic signal processing applied in petroleum industry (Shell Company, 1987); the algorithms for optical performance monitoring of telecommunication channels (Bookham Technology, 2001); the algorithms of spectrometric data processing for analytical spectrophotometry (Measurement Microsystems, 1998–2008). Since 2014 he has been involved in the projects concerning healthcare-oriented monitoring of elderly persons.

• 1. Introduction to healthcare-oriented monitoring of persons.- 2. Localisation of persons by means of impulse-radar sensors – basic methods.- 3. Localisation of persons by means of impulse-radar sensors – advanced methods.- 4. Localisation of persons by means of impulse-radar sensors – comparison of methods.- 5. Denoising and differentiation of persons’ movement trajectories – basic methods.- 6. Denoising and differentiation of persons’ movement trajectories – advanced methods.- 7. Fusion of data from impulse-radar sensors and depth sensors.- 8. Gait analysis.- 9. Fall detection.- 10. Ethical issues related to monitoring of persons.- 11. Conclusion.