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Zawartość zarchiwizowana w dniu 2024-05-07

Non-linear models and controllers for neuroprostheses

Cel



Research objectives and content
A fundamental problem in biomedical engineering is the restoration of controlled function using Functional Electrical Stimulation (FES) for paralysed individuals. FES is employed to provide some function by electrically activating skeletal muscle. However, linear systems theory has been found to be unsatisfactory in controlling the muscle force generated and the resulting motion or function. This is due to the time-varying and highly non-linear nature of physiological systems. A more effective approach would be to control such systems using non-linear control theory principles to switch the system between a set of physiologically based non-linear control laws, each of which is valid in some region of operation. In this project I propose to develop physiologically accurate mathematical models for musculoskeletal systems and develop low-cost lligh-performance control strategies for FES based systems. These models and controllers will enable the restoration of controlled function to paraplegics via neuroprostheses and controlled cardiac assistance via skeletal muscle ventricles or cardiomyoplasties.
Training content (objective, benefit and expected impact)
This project will permit the applicant to bring back to Ireland's rapidly developing biomedical engincering commercial sector the expertise obtained in a world-class rcsearch institute.
Links with industry / industrial rclevance (22)
The research group of the host institution has ongoing collaborations with a significant number of medium and large-sized industrials companies in the general subject area of this project. The applicant also has had working collaboration and maintains contact with BMR Ltd. of Galways. Ireland which would be interested in the potential commercialisation of the results of this project.

Dziedzina nauki (EuroSciVoc)

Program(-y)

Temat(-y)

Zaproszenie do składania wniosków

Brak dostępnych danych

System finansowania

RGI - Research grants (individual fellowships)

Koordynator

Technische Universität München
Wkład UE
Brak danych
Adres
21,Arcissstraße
80333 München
Niemcy
Koszt całkowity
Brak danych

Uczestnicy (1)