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After a neurological injury (such as stroke), many patients suffer from impairment of the hand and finger function. Clinical assessments aim to measure and quantify those impairments for a better understanding and to specifically target those deficits in rehabilitation. One aspect of hand function, that is not truly understood yet is finger individuation: the ability to move one finger independently of the others. In a previously developed assessment device, we use force sensors attached to a hand module to measure this dexterous skill. This individuation device measures finger flexion (pushing) over different force levels, but the individuation ability in extension (pulling) remains unknown. The aim of this project is to implement an extension assessment (by adapting the existing protocol) and compare as well as test it before its implementation into the clinical routine. - Biomedical Engineering, Clinical Sciences, Electrical and Electronic Engineering, Human Movement and Sports Science, Interdisciplinary Engineering, Mechanical and Industrial Engineering, Neurosciences, Other
- Bachelor Thesis, Internship, Master Thesis, Semester Project
| After a neurological injury (such as stroke), many patients suffer from impairment of the hand and finger function. Clinical assessments aim to measure and quantify those impairments for a better understanding and to specifically target those deficits in rehabilitation. One aspect of hand function, that is not truly understood yet is finger individuation: the ability to move one finger independently of the others. In a previously developed assessment device, we use force sensors attached to a hand module to measure this dexterous skill. This individuation device measures finger flexion (pushing) over different force levels, using a simple user interface. But to facilitate the measurement process and increase comprehension for cognitively impaired patients, we need to improve the assessment visualization and execution. - Computer Software, Electrical and Electronic Engineering
- Bachelor Thesis, Internship, Master Thesis, Semester Project
| After a neurological injury (such as stroke), many patients suffer from impairment of the hand and finger function. Clinical assessments aim to measure and quantify those impairments for a better understanding and to specifically target those deficits in rehabilitation. One aspect of hand function, that is not truly understood yet is finger individuation: the ability to move one finger independently of the others. In a previously developed assessment device, we use force sensors attached to a hand module to measure this dexterous skill. This individuation device will be used in a clinical setting to measure neurological patients. But before it can routinely be put into practice, its reliability (in a test-retest setting) and validity must be proven. - Biomedical Engineering, Clinical Sciences, Human Movement and Sports Science, Neurosciences, Other, Public Health and Health Services
- Bachelor Thesis, Internship, Master Thesis, Semester Project
| In this semester project you will learn many state-of-the-art nano-fabrication techniques, such as mechanical exfoliation, van der Waals heterostructure assembly, glovebox, AFM, optical lithography, etc. - Electrical and Electronic Engineering, Optical Physics
- Semester Project
| The aim of this project is to fabricate electrically controllable 2D-material devices in novel combinations that have not still been comprehensively investigated and conduct optical and electrical
spectroscopic studies. - Electrical and Electronic Engineering, Optical Physics
- Master Thesis, Semester Project
| Borehole image logs serve as essential datasets for extracting a wide range of geological features. Traditionally, analysing these logs has involved a tedious labelling process by geological experts. Recently, machine learning has demonstrated remarkable capabilities in image processing. This project focuses on utilizing machine learning model to improve the efficiency and accuracy of detecting and classifying discontinuity features within borehole wall imagery. - Artificial Intelligence and Signal and Image Processing, Geology
- Bachelor Thesis, Master Thesis, Semester Project
| Researchers have started to explore data-driven physics simulations, particularly with Graph Neural Networks for rigid objects collisions. However, simulating rigid collisions among arbitrary shapes is notoriously difficult due to complex geometry and the strong non-linearity of the interactions. In this project, you will focus on the task of learning/simulating rigid objects dynamics with Graph
Neural Networks (GNNs), with the end-goal of predicting future or alternative trajectories for physical rigid objects in a scene. - Engineering and Technology, Information, Computing and Communication Sciences
- Master Thesis, Semester Project
| Understanding the dynamics of rigid object interactions is crucial in various fields, including robotics, computer graphics, and physics-based simulations. In this project, you will focus on the task of learning/simulating rigid objects dynamics from videos, with the end-goal of predicting future or alternative trajectories for the objects in the scene. - Engineering and Technology, Information, Computing and Communication Sciences
- Master Thesis, Semester Project
| A Master project starting in Spring 2023 is available in the group of Prof. Roland Riek, Laboratory for Physical Chemistry (D-CHAB). The student will build a 25 MHz Nuclear Magnetic Resonance (NMR) spectrometer. The spectrometer console will run on a compact board (SDR Lab, Red Pitaya) [1]. A permanent magnet will (10 x 10 x 10 cm3) generate a field of 0.6 T, corresponding to a 1H NMR frequency of 25 MHz. - Antenna Technology, Chemical Spectroscopy, Digital Systems, Electrical Engineering, Instruments and Techniques
- ETH Zurich (ETHZ), Internship, Master Thesis, Semester Project
| You will obtain functional constructs of living muscle tissue that can be implemented into robots as bio-actuators. The tissue will be realized via bioprinting or conventional biofabrication in 3D designs at the mm-to-cm scale. The deformation of the constructs will be achieved via electrical stimulation of contractile muscle cells, and integrated sensing elements will monitor the motion of the tissue constructs, improving functionality and autonomy. We will use granular hydrogels to develop sensing components to monitor the state of 3D organoids. - Biology, Composite Materials, Medical and Health Sciences
- Master Thesis, Semester Project
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