Semester Projects
Evaluation of Finger Individuation Ability in Flexion and Extension
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.
Keywords
Rehabilitation engineering, neurology, finger individuation, hand, upper limb, assessment, patients, clinic
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Semester Project , Internship , Bachelor Thesis , Master Thesis
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Published since: 2024-05-01 , Earliest start: 2024-05-20 , Latest end: 2024-12-20
Organization Rehabilitation Engineering Lab
Hosts Knill Anna
Topics Medical and Health Sciences , Engineering and Technology
Optimization of Individuation Assessment Software and Protocol
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.
Keywords
Rehabiliation engineering, software development, finger individuation, user interface
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Semester Project , Internship , Bachelor Thesis , Master Thesis
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Published since: 2024-05-01 , Earliest start: 2024-05-20 , Latest end: 2024-12-20
Organization Rehabilitation Engineering Lab
Hosts Knill Anna
Topics Information, Computing and Communication Sciences , Engineering and Technology
Reliability and Validity testing of an Individuation device for a clinical use
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.
Keywords
Rehabilitation engineering, reliability, validity, neurology, finger individuation, clinic, patients, assessment testing
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Semester Project , Internship , Bachelor Thesis , Master Thesis
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Published since: 2024-05-01 , Earliest start: 2024-06-24 , Latest end: 2025-01-31
Organization Rehabilitation Engineering Lab
Hosts Knill Anna
Topics Medical and Health Sciences , Engineering and Technology
Arm Activity Tracker for Stroke Patients - A Smart Phone Application
The project aims to design a phone application tailored for stroke patients, utilizing smartwatches to monitor and encourage arm activity. Preferences of stroke survivors are integral to the design process to ensure the application's usability and effectiveness in promoting recovery and functional improvement.
Keywords
Stroke, app design, smartphone, activity monitor
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Semester Project , Master Thesis
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Published since: 2024-04-30 , Earliest start: 2024-06-01 , Latest end: 2025-03-31
Organization Rehabilitation Engineering Lab
Hosts Mayrhuber Laura
Topics Medical and Health Sciences , Information, Computing and Communication Sciences , Engineering and Technology
Interpretation of instrumented movement analysis in neurorehabilitation
With advancing technology, healthcare professionals now have greater access to quantifying human movement, which will increasingly influence health assessments. However, interpreting movement data, particularly for individuals with neurological impairments, remains challenging. Our project aims to explore experts' insights on interpreting such data. Through multi-center focus groups, we gather healthcare professionals' perspectives to enhance informed decision-making in clinical settings.
Keywords
Neurorehabilitation, Focus Groups, Instrumented Movement Analysis
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Semester Project , Internship
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Published since: 2024-04-02 , Earliest start: 2024-04-14 , Latest end: 2024-10-31
Organization Rehabilitation Engineering Lab
Hosts Mayrhuber Laura
Topics Medical and Health Sciences , Engineering and Technology , Behavioural and Cognitive 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
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
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