Nonlinear system identification in stroke rehabilitation

Michael Bernhardt; Bernhard Angerer; Martin Buss; Albrecht Struppler

doi:10.1524/auto.2007.55.11.570

Nonlinear system identification in stroke rehabilitation

Titel in Übersetzung: Nichtlineare systemidentifikation in der schlaganfallrehabilitation

Michael Bernhardt, Bernhard Angerer, Martin Buss, Albrecht Struppler

Lehrstuhl für Steuerungs- und Regelungstechnik

Technische Universität München

Publikation: Beitrag in Fachzeitschrift › Artikel › Begutachtung

3 Zitate (Scopus)

Abstract

The repetitive peripheral magnetic stimulation (RPMS) is an innovative approach in treatment of central paresis, e. g. after stroke. In this article we present a neuromuscular model for the RPMS-induced muscle contraction. This model is the basis for our two recent goals in research: Position controlled movement induction and automated therapy evaluation by means of system identification. In order to adapt the model parameters to the individual, a nonlinear on-line system identification method is proposed.

Titel in Übersetzung	Nichtlineare systemidentifikation in der schlaganfallrehabilitation
Originalsprache	Englisch
Seiten (von - bis)	570-579
Seitenumfang	10
Fachzeitschrift	At-Automatisierungstechnik
Jahrgang	55
Ausgabenummer	11
DOIs	https://doi.org/10.1524/auto.2007.55.11.570
Publikationsstatus	Veröffentlicht - 2007

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10.1524/auto.2007.55.11.570

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Nonlinear system identification in stroke rehabilitation

Abstract

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