Metode neinvazive de evaluare și monitorizare a stării de sănătate destinate persoanelor cu profesii solicitante sau vârstnice / Non-invasive methods of health assessment and monitoring for people with demanding professions or elders

The main objective of the PhD thesis is to design and develop methods, algorithms and devices necessary to assess the psychological, physiological and/or mental health of frail persons and/or persons involved in demanding occupations. An interdisciplinary point of view is provided mainly by three research areas: space exploration, high performance sports and human health and safety. Taking into account the limited energy and/or processing resources of the existing equipment of space stations and spacecraft, it was desirable to develop low resource consuming software solutions. Thus, in order to evaluate emotions, two paradigms were taken into account: to localize a limited number of facial landmarks with respect to an anthropometric approach and to implement existing parallel computing software solutions. The author presents the implementation of a system able to detect psychophysiological features of the person by analyzing images in visible and infrared spectrum. Also, speech and language artificial intelligence algorithms based on existing natural language processing techniques were developed in order to detect speech coherence and emotions experienced by astronauts. The development of algorithms for assessing the psychophysiological state of the person resulted in preliminary software versions. The author presents the hardware and software development of a device able to assess muscle qualities along with the evaluation of the data collected during a 21-day dry immersion experiment. A telemedicine prototype is briefly presented to emphasize electronic and mechanical aspects as well as the development of a prototype for biometric assessment, designed to ensure elders’ safety and independent living.