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

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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Semester Project , Internship , Bachelor Thesis , Master Thesis

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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

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

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