Rehabilitation Engineering LabOpen OpportunitiesAfter 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. - Biomedical Engineering, Clinical Sciences, Electrical and Electronic Engineering, Human Movement and Sports Science, Interdisciplinary Engineering, Mechanical and Industrial Engineering, Neurosciences, Other
- Bachelor Thesis, Internship, Master Thesis, Semester Project
| 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. - Computer Software, Electrical and Electronic Engineering
- Bachelor Thesis, Internship, Master Thesis, Semester Project
| 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. - Biomedical Engineering, Clinical Sciences, Human Movement and Sports Science, Neurosciences, Other, Public Health and Health Services
- Bachelor Thesis, Internship, Master Thesis, Semester Project
| 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. - Engineering and Technology, Information, Computing and Communication Sciences, Medical and Health Sciences
- Internship, Master Thesis, Student Assistant / HiWi, Summer School
| 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. - Behavioural and Cognitive Sciences, Rehabilitation Engineering, Therapies and Therapeutic Technology
- Internship, Semester Project
| 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. - Biomedical Engineering, Materials Engineering, Mechanical and Industrial Engineering
- Internship, Master Thesis, Semester Project
| 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. - Behavioural and Cognitive Sciences, Engineering and Technology, Information, Computing and Communication Sciences, Medical and Health Sciences
- Bachelor Thesis, Course Project, Internship, Master Thesis, Semester Project
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