Master Projects
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: 2024-05-08 , 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: 2024-05-08 , 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: 2024-05-08 , 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
Master Student Project for SmartVNS App Development
As part of your master student project, you will play a crucial role in the development of an app designed to provide stroke patients with valuable insights into their therapy data and progress over time. The app's primary goal is to encourage treatment adherence, addressing a significant clinical challenge in stroke rehabilitation. By visualizing therapy data in an easy-to-understand format, the app aims to empower patients, enhance their motivation, and guide them towards targeted areas of improvement.
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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Master Thesis
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Published since: 2024-05-08 , Earliest start: 2023-06-01
Organization Rehabilitation Engineering Lab
Hosts Donegan Dane
Topics Information, Computing and Communication Sciences
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: 2024-05-06 , Earliest start: 2024-06-01
Organization Rehabilitation Engineering Lab
Hosts Domnik Nadine
Topics Medical and Health Sciences , Information, Computing and Communication 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
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
Kinematic Reconstruction with IMUs
This student project aims to develop a sensor-based assessment system using inertial measurement units (IMU) to measure joint kinematics of the upper limbs and thorax. To validate the system's efficacy, able-bodied participants will be recruited and the data will be compared with the gold standard provided by an optical motion capture system.
Keywords
Inertial Measurement Units, Kinematics, Motion Capture
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Semester Project , Master Thesis
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Published since: 2024-05-15 , Earliest start: 2024-06-03 , Latest end: 2025-04-30
Organization Rehabilitation Engineering Lab
Hosts Mayrhuber Laura
Topics Engineering and Technology