The ageing phenomena requires the development in the near future of new systems and services that will provide healthcare quality with costs optimization. In this context the lecture will present a set of unobtrusive sensing solutions for health status and daily activity monitoring of elderly people or patients under physical rehabilitation process. Vital signals acquisition and processing by sensing modules embedded in clothes and/or accessories and instrumented walking aid equipment will be part of the presentation. The strength and drawbacks of different solutions for cardiac and respiratory assessment will be discussed special attention will be granted to the ballistocardiography and radar ballistocardiography implementations but also to other sensing solutions cardiac assessment.

Motor activity monitoring for normal users but also for users under physical rehabilitation represent an important field of research. Novel solutions for motions assessment based on microwave radar motion sensor, MEMS inertial sensors associated with walking aids used in gait rehabilitation process for objective evaluation of applied rehabilitation plan will be presented together appropriate signal processing techniques. Elements of the electronic health record as so as the interaction between user and the mixed reality scenarios developed for physical therapy are also included in the talk. Unobtrusive sensing solution integration with virtual reality serious games for physical rehabilitation will be considered as so as several elements concerning the usage of thermography to evaluate the physical rehabilitation sessions effectiveness.

Refreshments will be provided.

Speaker(s): Prof. Dr. Octavian Adrian Postolache , , Prof. Dr. Octavian Adrian Postolache ,

Location:
Room: EV001.162
Bldg: EV Building
Concordia Institute for Information Systems Engineering, Concordia University
1515 St.Catherine Street West
Montreal, Quebec
H3G 2W1