Neuroprosthetics: Artificial Limbs
This module handbook serves to describe contents, learning outcome, methods and examination type as well as linking to current dates for courses and module examination in the respective sections.
IN2405 is a semester module in English language at Master’s level which is offered in winter semester.
This Module is included in the following catalogues within the study programs in physics.
- Focus Area Bio-Sensors in M.Sc. Biomedical Engineering and Medical Physics
|Total workload||Contact hours||Credits (ECTS)|
|150 h||60 h||5 CP|
Content, Learning Outcome and Preconditions
- History and current evolution of neuroprosthetics, emerging trends in the field, opportunities and challenges.
- Anatomy of the upper limb, general principles associated with the production of movements and muscle synergies, main causes of upper limb amputation, overview about different level of upper extremity amputation, current challenges.
- Upper limb and hand bionic prostheses: (1) current strategies for the development of neuroprostheses; (2) myoelectric control; (3) advanced methods: invasive and non-invasive techniques; (4) overview about interfaces and novel surgical techniques.
- Anatomy of the lower limb and main causes of amputation: general anatomy of the upper limb, general principles associated with locomotion, main causes of lower limb amputation, overview about different level of lower extremity amputation, current challenges.
- Lower limb bionic prostheses: (1) current strategies for the development of neuroprostheses for the restoration of walking; (2) myoelectric control; (3) advanced methods: invasive and non-invasive techniques; (4) overview about interfaces and novel surgical techniques.
- Haptic feedback: (1) current strategies for the development of systems for the restoration of haptic feedback; (2) advanced methods: invasive and non-invasive techniques.
- Functional assessments: current methods to evaluate the performance of neuroprostheses, Cybathlon, emerging trends in the field, opportunities and challenges
Additionally, knowledge of the following modules is strongly recommended:
- Signal Theory (EI00330)
- Automatic Control (MW9020, MW2022, MW1530)
- Medical Augmented Reality (IN2293)
- Advanced Practical Course Games Engineering: Augmented Reality (IN7106)
- Robotics (IN2067)
Courses, Learning and Teaching Methods and Literature
Courses and Schedule
|VO||4||Neuroprosthetics - Artificial Limbs (IN2405)||Capsi Morales, P. Piazza, C. Spiegeler Castaneda, T. Toker, B.||
Tue, 14:00–16:00, MI 03.13.010
and singular or moved dates
Learning and Teaching Methods
- Lectures (2 SWS),
- Exercise and application-specific tutorials (2 SWS): design principles, control methods (based on surface EMG sensors), sensory feedback, virtual reality environment development
2) Merletti, R., & Farina, D. (Eds.). (2016). Surface electromyography: physiology, engineering, and applications. John Wiley & Sons.
3) M. Bishop, Neural networks for pattern recognition, Oxford university press, 1995.
4) Muzumdar, Powered Upper Limb Prostheses: Control, Implementation and Clinical Application, Springer Science & Business Media, 2004.
Description of exams and course work
The examination consists of a written test of 90 minutes at the end of the course. In case of a low number of participants, the exam can be conducted orally.
In addition, the students will have to provide their solutions to practical exercises to the teaching assistant for evaluation, in the form of a written report and a presentation of contents and results. These exercises may focus on the application of design principles, myoelectric control methods or creation of virtual environments. The students can work on the practical exercises in small groups. The students will be awarded a bonus in case of excellent completion of the exercises.
Reasons for it:
To certify a deep understanding of what presented during the lectures. In addition, during the practical exercises, the students will have the opportunity to apply state-of-the-art methods to real world problems.
The exam may be repeated at the end of the semester.
Current exam dates
Currently TUMonline lists the following exam dates. In addition to the general information above please refer to the current information given during the course.
|Neuroprosthetics: Artificial Limbs|