 Rehabilitation Engineering LabOpen OpportunitiesProprioception, often called the "sixth sense," is vital for coordinating movements and maintaining balance, especially in the hands and fingers. In neurological patients, impaired proprioception in the upper limbs can hinder daily tasks and reduce quality of life. Traditional rehabilitation often lacks the intensity and precision needed for optimal recovery of fine motor skills.
This project leverages high-dosage training with the ETH MIKE, a validated one-degree-of-freedom robotic device designed for precise, repetitive movements to enhance proprioception and motor function. By promoting neuroplasticity and functional recovery, this research aims to advance rehabilitation practices. Participants will gain hands-on clinical experience, train with neurological patients, and collaborate with therapists, engineers, and researchers. - Biomedical Engineering, Clinical Sciences, Human Movement and Sports Science, Medicine-general, Neurosciences, Other
- Bachelor Thesis, Internship, Master Thesis, Semester Project
| Join our research project focused on analysing complex neurophysiological data collected during non-invasive brain stimulation experiments. This project aims to optimise brain stimulation protocols for future stroke rehabilitation by investigating neural responses to various stimulation parameters. The data includes electrocardiogram (ECG), electroencephalogram (EEG), photoplethysmography (PPG), inertial measurement unit (IMU) readings, pupilometry, and galvanic skin response (GSR). We aim to model brain states based on these measurements to define brain circuitry outcomes from stimulation and movement interactions, using advanced techniques like connectivity-based biomarkers. This modeling will help generalise findings to broader brain states, such as valence, attention, and stress. - Applied Statistics, Biological Mathematics, Neurosciences, Simulation and Modelling
- Master Thesis
| Neurological patients frequently experience upper limb sensorimotor impairment, necessitating effective rehabilitation strategies to restore functionality. Accurate assessments of patient movements are integral to these strategies, requiring precise measurement tools. The rapid advancements in AI pose estimation and biomechanical modeling offer a promising solution: a low-budget, user-friendly tool for accurately measuring patient movements in diverse settings. We are developing such a tool, iMove, which leverages video-based AI technology to provide clinical-grade precision.Your role will involve improving iMove's graphical user interface (GUI) and algorithms, as well as testing its performance and usability in collaboration with researchers, clinicians, and potentially patients. - Engineering and Technology, Information, Computing and Communication Sciences, Medical and Health Sciences
- Bachelor Thesis, Collaboration, Course Project, Internship, Lab Practice, Master Thesis, Semester Project
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