The ageing phenomena requires the development in the near future of the new systems and services that will provide increasing of healthcare quality,with increased acceptance by the users reducing also the costs. In this context the distinguished lecture will presents a set of vital signals and daily activity monitoring unobtrusive solutions as so as the appropriate signal processing associated with the measurement channels. Will be highlighted: - Vital signals acquisition and processing by embedded devices in clothes and/or accessories (e.g. smart wrist worn) or in walking aids and transportation equipment such as walker or manual wheelchair. The strength and drawbacks regarding cardiac and respiratory assessment capabilities, the studies on cardiac sensing accuracy estimation and artefacts influence on cardiac function sensing through capacitive coupled electrocardiography, electromechanical film sensor and microwave Doppler radar ballistocardiography, reflective photoplethismography will be discussed. - Motor activity sensing through microwave motion sensor, MEMS inertial measurement as so as the appropiate signal processing will be discussed. Several methods for diagnosis and therapy monitoring, as time frequency analysis, principal component analysis and pattern recognition of motion signals with application to gait rehabilitation evaluation will described. Some developed works under the project Electronic Health Record for Physiotherapy promoted by Fundação para Ciência e Tecnologia, Portugal, related to Kinect natural interaction serious games for physiotherapywill be also presented.

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