Semester Projects

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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: 2025-02-14 , 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

Feasibility of RehabCoach on Adherence to Unsupervised Robot-Assisted Therapy – Implementation and Evaluation of Smart Reminders

Adherence to rehabilitation therapy is essential for the recovery of hand functionality in stroke and traumatic brain injury (TBI) patients. However, maintaining engagement outside clinical settings remains a challenge. This project involves a feasibility study to evaluate the adherence of patients using the RehabCoach app as part of a one-week unsupervised robot-assisted program simulation. The study assesses user engagement, app interaction patterns, and the effectiveness of push notifications/smart reminders in sustaining adherence to the training program. The key components of this research are the development of a smart algorithm for triggering push notifications based on specific user behaviors, such as therapy completion or inactivity, to optimize adherence, as well as conducting the study with a few participants.

Keywords

Stroke, Traumatic Brain Injury, Rehabilitation Therapy, Adherence, Push Notifications, Mobile Health App, Interdisciplinary Research, Python, Django

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Semester Project , Bachelor Thesis , Master Thesis , ETH Zurich (ETHZ)

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Published since: 2025-02-12 , Earliest start: 2025-02-16 , Latest end: 2025-11-30

Organization Rehabilitation Engineering Lab

Hosts Retevoi Alexandra

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

Coding Framework for Synchronisation of EEG and DBS Data

To synchronise data recorded from subcortical and cortical neural activity of Parkinson's patients, a coding framework needs to be established.

Keywords

neural activity data, signal processing, Parkinson's disease

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

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Published since: 2025-01-30 , Earliest start: 2025-01-30 , Latest end: 2025-07-31

Organization Rehabilitation Engineering Lab

Hosts Salzmann Lena, MSc

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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Semester Project , Master Thesis

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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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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

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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Semester Project , Bachelor Thesis , Master Thesis

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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

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