Physiological Driven Control and Design of Exoskeletons (NEXO)5 ECTS
(englische Bezeichnung: Physiological Driven Control and Design of Exoskeletons)

Lectures:

• • Physiological Driven Control and Design of Exoskeletons
    (Seminar, 3 SWS, Alessandro Del Vecchio et al., Zeit n.V., Zoom-Meeting)

Inhalt:

Lecture: Control of exoskeletons by neural signals
Extraction of signals for control for exoskeleton; user expectations and clinical reality; closed-loop control of exoskeleton;

Lecture: Principles of neural signals and translation for control
Recording electrophysiological data in humans; EMG, EEG, intracortical data and electrocorticography (ECoGs).

Lecture: Actuators and Sensors for Exoskeletons
In robotics soft systems are a new paradigm to realize compliant kinematics. An insight into those actuators and sensors helps to select a combination of soft and rigid components for exoskeletons.

Lecture: Using ROS to control mechatronic assistive devices
Using an established framework for the development of assistive devices enables the efficient prototyping of application specific solutions.

Lecture: EMG signal and processing
Association between EMG and intended movements, identification of individual motoneurons; time delays between neural signals and control; integration of EMG signals into exoskeletons.

Lecture: MATLAB / Python practical coursework
Biosignals processing of neural signals; associations between neural signals and function (dynamic and static)

Practical work: literature overview on current state of the art in exoskeleton and a critical analysis on the design of a physiologically driven exoskeleton for the upper arm.

Lernziele und Kompetenzen:

Students learn about the state of the art of exoskeleton for the upper and lower limb, with a specific focus on the upper limb. As the goal of this course, students describe the current methods in associating neural signals to control assistive devices and to design an exoskeleton for the upper limb.

Weitere Informationen:

Verwendbarkeit des Moduls / Einpassung in den Musterstudienplan:
Das Modul ist im Kontext der folgenden Studienfächer/Vertiefungsrichtungen verwendbar:

1. Artificial Intelligence (Master of Science)
   (Po-Vers. 2021s | TechFak | Artificial Intelligence (Master of Science) | Gesamtkonto | Nebenfach | Nebenfach Artificial Intelligence in Biomedical Engineering | Physiological Driven Control and Design of Exoskeletons (NEXO))
2. Informatik (Master of Science)
   (Po-Vers. 2010 | TechFak | Informatik (Master of Science) | Gesamtkonto | Nebenfach | Nebenfach Artificial Intelligence in Biomedical Engineering | Physiological Driven Control and Design of Exoskeletons (NEXO))
3. Medizintechnik (Master of Science)
   (Po-Vers. 2018w | TechFak | Medizintechnik (Master of Science) | M4 Hauptseminar Medizintechnik | Physiological Driven Control and Design of Exoskeletons (NEXO))
4. Medizintechnik (Master of Science)
   (Po-Vers. 2019w | TechFak | Medizintechnik (Master of Science) | Modulgruppe M4 - Hauptseminar | Hauptseminar Medizintechnik / Advanced Seminar Medical Engineering | Physiological Driven Control and Design of Exoskeletons (NEXO))

Studien-/Prüfungsleistungen:

Physiological Driven Control and Design of Exoskeletons (NEXO) (Prüfungsnummer: 76691)

Prüfungsleistung, Seminarleistung, Dauer (in Minuten): presentation 30 min., benotet, 5 ECTS

Anteil an der Berechnung der Modulnote: 100.0 %

weitere Erläuterungen:
Presentation and paper.

Prüfungssprache: Englisch

Erstablegung: WS 2021/2022, 1. Wdh.: SS 2022

1. Prüfer:

Alessandro Del Vecchio