Goals of the project group
This project group will aim at developing a prosthesis controller for real-time classification of EMG signals on an FPGA platform. To this end, a library of components for signal filters, feature extractors and classifiers will need to be designed and implemented as digital circuits for FPGAs. These elements can then be assembled into a network of building blocks to implement state of the art control schemes. The controller will then need to be optimized in terms of classification speed, design size and power consumption.
The overall goal of the project group is to develop a prototype for a hand prosthesis controller capable of real-time classifying a huge amount of EMG data and driving a real hand prosthesis. In cooperation with the Bernstein Center for Computational Neuroscience (BCCN) Göttingen the project group will be provided with powerful EMG DAQs for acquisition of up to 500 channels of EMG data and state of the art hand prosthesis prototypes. It is planned to evaluate the performance with amputees and real prostheses in the BCCN.
What will you do?
In this project group, you will
- Implement algorithms in software, on ARM, DSP and FPGA
- Develop a HW/SW interface to state-of-the-art hand prostheses
- Earn expertise in biomedical signal processing
- Test your system on yourselves and with amputees
- Interest in Biomedical (Computer-) Engineering
- Nice to have: low level programming skills (C, VHDL)
- You will learn everything you need to know
The first meeting will take place in the third week of the semester. Further details will be announced shortly.
If you have any questions, feel free to get in touch with Alexander Boschmann.