Efficient Estimation and Control Algorithms in Wearable Devices for Health and Care
Uppsala University: Alexander MEDVEDEV
Automatic control theory and Algebraic methods
To combine methods from Control Theory and Differential Algebra to design effective algorithms for control, detection and estimation in human wearable devices, or human medical and well-being applications.
The impressive widespread of wearable devices for everyone daily use has motivated numerous ongoing researches throughout the world. An ordinary person nowadays carries sensors, such as those in a smartphone or smartwatch, that are driven by medical or well-being applications acquiring important behavioural and motor data. With proper data processing and analysis, signals provided by the sensors in the wearable devices are capable of revealing useful information assisting the device bearer in achieving personal goals. The corresponding important challenges faced by the numeric sciences community are related to effective filtering of the data, estimation and tracking of unknown or uncertain parameters, as well as feedback design for improvement of personal and societal being.
Important constraints for these solutions are limited computational capacity of wearable devices and lack of real-time support in the embedded software. The networked nature of information exchange in wearable devices introduces time-varying delays that compromise the integrity of the involved feedback loops.
October 2018: Alexander Medvedev (Uppsala University) in Lille
November 2018: Fredrik Olsson (PhD student, Uppsala University) in Lille
Avril 2019 : Rosane Ushirobira (Inria) in Uppsala