Student Projects

Project Descriptions

Additional projects are always available. Please consult our list of ongoing research projects  and contact the involved people listed on the top right to enquire about additional projects.


Special projects/internships:

ETH Zurich uses SiROP to publish and search scientific projects. For more information visit sirop.org.

Development of a (gamified) finger training software for a clinical setting

This project focuses on developing an innovative software solution to enhance finger individuation training in neurorehabilitation. Building on an existing device that measures precise finger forces and is currently used for assessments, the goal is to extend its capabilities into an interactive training platform. The project involves designing and implementing the software, transitioning to modern frameworks like Unity or Python for improved performance and usability. With the freedom to create engaging, gamified training experiences and intuitive user interfaces, this project provides a unique opportunity to apply software development skills to a meaningful, real-world application.

Keywords

software development, gamified therapy, neurorehabilitation training

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Semester Project , Internship , Bachelor Thesis , Master Thesis

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Published since: 2024-12-19 , Earliest start: 2025-01-13 , Latest end: 2025-09-30

Organization Rehabilitation Engineering Lab

Hosts Knill Anna

Topics Information, Computing and Communication Sciences , Engineering and Technology

Understanding the influence of motor, sensory, and cognitive factors on manual dexterity

Manual dexterity, the ability to move our hands skillfully, is essential for daily tasks such as eating, writing, and dressing. Neurological conditions like stroke or brain injury can severely impair dexterity, which depends on sensory, motor, and cognitive factors. While impairments in finger individuation and strength are known, the relationships between these components remain unclear. This project aims to measure dexterity-related factors in patients with neurological conditions and healthy individuals in a neurorehabilitation clinic in Switzerland (cereneo). Using standardized clinical assessments and novel (robotic) technologies, the study will provide detailed insights into the contributions of these factors, supporting the development of innovative rehabilitation strategies.

Keywords

Neurorehabilitation, manual dexterity, assessment, hand & finger, robotics, clinic

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Semester Project , Internship , Master Thesis

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Published since: 2024-12-02 , Earliest start: 2025-02-03 , Latest end: 2025-12-19

Organization Rehabilitation Engineering Lab

Hosts Knill Anna

Topics Medical and Health Sciences , Engineering and Technology , Behavioural and Cognitive Sciences

High dose high intensity proprioception training for neurological patients using a robotic device

Proprioception, 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.

Keywords

Proprioception, training, neurology, patients, clinic, rehabilitation, neurorehabilitaiton, hand

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Semester Project , Internship , Bachelor Thesis , Master Thesis

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Published since: 2024-12-02 , Earliest start: 2025-04-28 , Latest end: 2025-10-31

Organization Rehabilitation Engineering Lab

Hosts Knill Anna

Topics Medical and Health Sciences , Engineering and Technology

Multisensory assessment of physiological markers during neural stimulation for stroke rehabilitation

Project goal is to assess outcomes of a non-invasive brain stimulator for future application in stroke rehabilitation. This will involve using an exciting novel method of brain stimulation together with simultaneous multisensory recordings of various physiological parameters, including heart rate, galvanic skin response, pupillometry and electroencephalogram (EEG). The results of the project will help develop brain stimulation protocols that elicit meaningful neural responses in healthy subjects, and in stroke patients.

Keywords

neural stimulation, neural biomarkers, neurophysiology, physiology, neuroscience, EEG, pupillometry

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Semester Project , Master Thesis

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Published since: 2024-11-11 , Earliest start: 2023-06-01

Organization Rehabilitation Engineering Lab

Hosts Viskaitis Paulius , Donegan Dane

Topics Engineering and Technology

Real-time control of neural stimulation for stroke patients.

Real-time analysis of movement kinematics can benefit multiple different strategies in rehabilitation after stroke, including allowing closed-loop brain stimulation. Use of inertial measurement units (IMUs) allows detection of movement and extraction of kinematic features, but application in real-time remains challenging. This project will develop algorithms for real-time movement data analysis and feature extraction in typical rehabilitation tasks and general real-life movements. In turn, these algorithms will be applied to control novel brain stimulation approaches in stroke neurorehabilitation.

Keywords

Inertial measurement unit, IMU, movement tracking, machine learning, real-time, signal processing

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Published since: 2024-11-11 , Earliest start: 2023-05-09

Organization Rehabilitation Engineering Lab

Hosts Viskaitis Paulius , Donegan Dane

Topics Engineering and Technology

Mechanistic Evaluation of taVNS in Motor Adaptation for Stroke Rehabilitation

This study aims to evaluate the mechanisms by which transauricular vagus nerve stimulation (taVNS) may facilitate motor learning and adaptation, focusing on reticulospinal tract (RST) activation. A set of assessments will be used to build a comprehensive neurophysiological profile, providing insights relevant to developing taVNS-based clinical interventions. In this role, you will engage in study design, data collection, and analysis, gaining hands-on experience in mechanistic neurophysiological research with direct clinical applications.

Keywords

Transauricular vagus nerve stimulation (taVNS) Reticulospinal tract (RST) Motor learning StartReact paradigm Stroke rehabilitation Neurophysiology Multisite EMG Motor pathway activation Clinical neurostimulation

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Published since: 2024-11-11 , Earliest start: 2024-11-24 , Latest end: 2025-10-26

Organization Rehabilitation Engineering Lab

Hosts Viskaitis Paulius

Topics Medical and Health Sciences , Engineering and Technology

Development of flexible, biocompatible electrodes for vagus nerve stimulation therapy

Stroke is the most common cause of disability and as many as 14 million people suffer a stroke every year. Typical therapy today is focused on physical exercises and rarely combats the core of the problem - the interactions between the motor actions and the activity patterns of the injured brain. Therefore, we are developing a cutting-edge medical device that helps combine physical therapy with a non-invasive brain stimulation. This is expected to boost recovery after stroke and make this advanced neuro-therapy accessible to millions of people who need it.

Keywords

Biocompatibility Conductive Materials Vagus Nerve Stimulation (VNS) Transcutaneous VNS (tVNS) Stroke Rehabilitation Therapy Medical Device Engineering Electrode Design and Prototyping Materials Science Biomedical Engineering Neurorehabilitation Clinical Usability Patient-Centred Design

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Published since: 2024-11-11 , Earliest start: 2024-11-24 , Latest end: 2025-10-31

Organization Rehabilitation Engineering Lab

Hosts Viskaitis Paulius

Topics Medical and Health Sciences , Engineering and Technology

Efficient data processing and reporting in stroke neuro-rehabilitation

Project goal is to optimise existing and develop new algorithms into an efficient system for signal pre-processing, data storage, analysis and visualization in motor-neurorehabilitation. This data is generated by stroke patients wearing motion sensors during their therapy sessions. Key endpoint of the project is to display real-time and longitudinal therapy results, which can aid therapists and patients. The results of the project will help develop a more efficient therapy and is a key part of a larger project that seeks to develop an intelligent and closed-loop neural stimulation system for stroke rehabilitation.

Keywords

health biomarkers, data science, computer science, data visualization, data processing, real-time, internet of medical things, IoMT, healthcare internet of things, healthcare IoT

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Semester Project , Internship , Master Thesis

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Published since: 2024-09-18 , Earliest start: 2023-05-09

Organization Rehabilitation Engineering Lab

Hosts Donegan Dane , Viskaitis Paulius

Topics Medical and Health Sciences , Information, Computing and Communication Sciences , Engineering and Technology

Embedded algorithms of IMUs in a neurorehabilitation device

The goal of this project is to help develop embedded firmware for a imu based rehabilitation device. This project is part of the SmartVNS project which utilizes movement-gated control of vagus nerve stimulation for stroke rehabilitation.

Keywords

electrical engineering PCB Embedded systems neurorehabilitation

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Semester Project , Master Thesis

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Published since: 2024-08-27 , Earliest start: 2024-01-06 , Latest end: 2024-12-31

Organization Rehabilitation Engineering Lab

Hosts Donegan Dane , Viskaitis Paulius

Topics Medical and Health Sciences , Engineering and Technology

Analysis and modelling of Neurophysiological Data from Multisensory Recordings during aVNS Experiments

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.

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Master Thesis

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Published since: 2024-08-15 , Earliest start: 2024-08-18 , Latest end: 2025-04-30

Organization Rehabilitation Engineering Lab

Hosts Viskaitis Paulius

Topics Medical and Health Sciences , Mathematical Sciences , Information, Computing and Communication Sciences

iMove: instrumented Movements (mobile & low budget)

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.

Keywords

neurorhebilitation, computervision, biomechnical modelling, frontend, backend, ai, usability, GUI, webcams, cameras, stroke, assessments

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Semester Project , Course Project , Collaboration , Internship , Lab Practice , Bachelor Thesis , Master Thesis

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Published since: 2024-08-06 , Earliest start: 2024-08-12

Organization Rehabilitation Engineering Lab

Hosts Unger Tim

Topics Medical and Health Sciences , Information, Computing and Communication Sciences , Engineering and Technology

If you would like to carry out a Studies on Mechatronics project in our group, please contact the assistant working on, or closest to, the research topic you are interested in.

We currently have an open studies on mechatronics project aiming to evaluate and compare mechatronic designs for sensory/mechanical stimulation and massage of the feet. If interested, please contact .

Your Own Project Ideas?

It is always possible to find a project for motivated students with innovative ideas in the fields of rehabilitation, assistive and healthcare technology as well as haptics and motor learning. Please contact us if you would like to pursue a project which is not on the list above.

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