Research
Overview
My work focuses on innovative applications in neuroscience and medical technology. As a member of the Faculty of Information Technology in the Neuroscience and Medical Technology Laboratory (NeuroMed), I work primarily with non-invasive multimodal methods for data acquisition, such as EMG, EEG and fNIRS. My activities include the acquisition, signal processing and evaluation of biosignals as well as their application for controlling external hardware.
My work interests lie in particular in
- the development of innovative solutions to improve the quality of life of people with impaired sensory or motor skills.
- recording and analyzing neurophysiological and biomechanical measurement data in amputees to improve prostheses and rehabilitation measures.
- the recording and analysis of brain signals for a better understanding of the human brain and the development of brain-computer interfaces for people with disabilities, for example patients with amyotrophic lateral sclerosis (ALS)."
Please contact me if you are interested in a collaboration or project and/or thesis work in these areas.
Examples of possible student theses
- Sensorimotor control
- Control of prostheses
- Brain-computer interface for communication in ALS patients
- VR-based BCIs for rehabilitation
- Multimodal detection of stress (using EEG, ECG, skin resistance, etc.)
- Investigation of neurofeedback for stress management
Publications
Conference paper
Conference poster
Journal article
Teaching
- Internship 1 (BMT 4th semester)
- Specialist internship 2 (BMT 5th semester)
- Diagnosis and therapy (BMT 5th semester)
- Sensory-motor control (BMIT 2nd semester)