Master Projects
Why do Parkinson's Patients walk differently?
Investigation of brain activity during walking in Parkinson’s patients
Keywords
Parkinson's disease; EEG; neuroscience; biomechanics; movement;
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Semester Project , Internship , Lab Practice , Bachelor Thesis , Master Thesis
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Published since: 2024-02-02 , Earliest start: 2024-03-01 , Latest end: 2024-12-31
Organization Rehabilitation Engineering Lab
Hosts Salzmann Lena, MSc
Topics Medical and Health Sciences , Engineering and Technology
Cognitive Neuroscience in Childhood and Adolescence
How do children's brains process reading and other language skills and how do their brains change over the course of learning? As part of an external collaboration with the group of Prof. Silvia Brem/Dr. Gustavo Pamplona at the University of Zurich, we have open Master's thesis and Internship opportunities on the topic of cognitive Neuroscience in childhood and adolescence.
Keywords
fMRI, EEG, reading, development, children, behavioral tasks
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Internship , Master Thesis , ETH Zurich (ETHZ)
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Published since: 2023-12-06 , Earliest start: 2024-01-08 , Latest end: 2024-12-20
Applications limited to EPFL - Ecole Polytechnique Fédérale de Lausanne , ETH Zurich , University of Zurich
Organization Rehabilitation Engineering Lab
Hosts Lambercy Olivier, Dr.
Topics Medical and Health Sciences
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: 2024-02-14 , 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
Development of a Clinically Usable Electrode for tVNS
This project aims to develop a clinically usable electrode for transcutaneous vagus nerve stimulation (tVNS) therapy. The objective is to create an electrode that is biocompatible, low-impedance, and easy to use, allowing patients to apply it themselves with minimal setup time. The project involves conducting a literature review, evaluating existing designs, selecting appropriate materials, developing a prototype, and assessing its efficacy and usability in a clinical setting. The outcome will be an electrode that enhances the convenience and effectiveness of tVNS therapy, contributing to improved patient treatment adherence and outcomes.
Keywords
Mechanical engineering, materials engineering, 3D modeling, anatomical modeling, CAD.
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Semester Project , Internship , Master Thesis
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Published since: 2024-02-14 , Earliest start: 2023-06-01
Organization Rehabilitation Engineering Lab
Hosts Viskaitis Paulius , Donegan Dane
Topics Engineering and Technology
DELTA
This project investigates the possibility to use low budget sensors such as webcams and IMUs to measure movement of stroke patients and quantify the movement quality. This low cost approach will allow to scale the solutions and bring instrumented solutions into clinical application. Integral part of this project is to develop and validate algorithms, create user-friendly apps and translate the new technology into clinical application. This project is a collaboration between ETH and cereneo foundation and is thus based in Zurich and Vitznau/Hertenstein.
Keywords
AI, markerless motioncapture, stroke, assessments, computer vision, low budget, IMU
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Semester Project , Course Project , Internship , Bachelor Thesis , Master Thesis
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Published since: 2023-12-13 , Earliest start: 2023-12-18
Organization Rehabilitation Engineering Lab
Hosts Unger Tim
Topics Medical and Health Sciences , Information, Computing and Communication Sciences , Engineering and Technology , Behavioural and Cognitive Sciences
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: 2024-02-14 , 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: 2024-02-14 , Earliest start: 2023-05-09
Organization Rehabilitation Engineering Lab
Hosts Viskaitis Paulius , Donegan Dane
Topics 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: 2024-02-14 , 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
Push Notification Integration for Enhanced Adherence to At-Home Rehabilitation Therapy in Stroke and Traumatic Brain Injury Patients
Adherence to rehabilitation therapy is crucial for the recovery of hand functionality in stroke and traumatic brain injury (TBI) patients. However, sustaining patient motivation to train at home remains a challenge. This project aims to explore the impact of push notifications on adherence to physical therapy among stroke and TBI patients. By investigating the optimal frequency and content of notifications, the goal is to develop a notification/reminder system that fosters continuous engagement with the rehabilitation plan, ultimately promoting increased therapy and better functional outcomes for patients.
Keywords
App Development, Stroke, Traumatic Brain Injury, Rehabilitation, Adherence to Therapy, Push Notifications, mHealth Apps, Interdisciplinary Research, React Native
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Internship , Master Thesis , Student Assistant / HiWi , Summer School
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Published since: 2024-04-08 , Earliest start: 2024-04-21 , Latest end: 2025-03-01
Organization Rehabilitation Engineering Lab
Hosts Retevoi Alexandra
Topics Medical and Health Sciences , Information, Computing and Communication Sciences , Engineering and Technology
Investigating the Transient Effects of Alcohol Intake on Movement Planning Abilities using Deep Learning
This thesis aims to utilize deep learning techniques to analyze eye-tracking data during a goal-directed upper limb task, particularly focusing on participants under the influence of alcohol. The objective is to develop digital health metrics that can elucidate differences in movement planning.
Keywords
Deep Learning, Eye Tracking, Alcohol, Algorithm, Computer Vision, Technology-assisted Assessment, Upper Limb, Movement Planning, Study, Data Analysis
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Semester Project , Bachelor Thesis , Master Thesis
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Published since: 2024-04-03 , Earliest start: 2024-05-01
Organization Rehabilitation Engineering Lab
Hosts Domnik Nadine
Topics Medical and Health Sciences , Information, Computing and Communication Sciences , Engineering and Technology