Bachelor
Bachelor Theses at IRIS
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
Mid-Range Path Planning Integrating Vision with LLM and Depth Sensing
This project aims to advance the field of robotic navigation by focusing on mid-range path planning, a crucial layer that connects the overarching routes designed by global planning and the immediate, reactive maneuvers of local planning. The project will develop a neural network model capable of generating a sequence of waypoints toward a specified 3D goal position by leveraging current RGB images, GPT cost reasoning from large language model (LLM) , and estimated depth images. This integration will facilitate more efficient navigation through complex environments by smoothing transitions between planning layers and optimizing route adjustments in real-time.
Keywords
Robot Planning; Vision Learning; LLM (Vision GPT) Reason,
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Semester Project , Bachelor Thesis , Master Thesis
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Published since: 2024-04-26 , Earliest start: 2024-05-01 , Latest end: 2025-01-01
Organization Robotic Systems Lab
Hosts Yang Fan
Topics Information, Computing and Communication Sciences
Internship/ Master Thesis: Machine Learning for Assessment of Walking Patterns in the SCI population - Time Series Classification
Gait patterns in multiple impairments present unique and complex patterns, which hinders the proper quantitative assessment of the walking ability for chronic ambulatory conditions when translated to daily living. In this project, we will focus on finding clusters of gait patterns through unsupervised learning from a large dataset of incomplete spinal cord injury individuals. The goal is to investigate hidden patterns in relation to the type of injuries and find their application for future diagnosis and rehabilitation treatment. Your work will guide future rehabilitation methods in general clinical practice, through applied classification and dimensionality reduction in Biomechanics of walking. Goal: Develop an unsupervised clustering pipeline for a large dataset of gait patterns from spinal cord injured individuals for class similarity evaluation
Keywords
Medical and health science, computing and computational science, engineering and technology, information, machine learning, data science, data engineering
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Internship , Bachelor Thesis , Master Thesis , ETH Zurich (ETHZ)
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Published since: 2024-04-03 , Earliest start: 2024-06-01 , Latest end: 2025-03-31
Applications limited to EPFL - Ecole Polytechnique Fédérale de Lausanne , ETH Zurich , CERN , Corporates Switzerland , IBM Research Zurich Lab , NGOs Switzerland , Zurich University of Applied Sciences , Wyss Translational Center Zurich , University of Zurich , University of St. Gallen , University of Lucerne , University of Lausanne , University of Geneva , University of Fribourg , University of Berne , University of Basel , Université de Neuchâtel , Università della Svizzera italiana , Swiss National Science Foundation , Swiss Institute of Bioinformatics , Empa , Eawag , TU Berlin , Technische Universität München , Technische Universität Hamburg , RWTH Aachen University , Max Delbruck Center for Molecular Medicine (MDC) , Delft University of Technology , UCL - University College London , University of Cambridge , University of Oxford , University of Leeds , University of Manchester , University of Nottingham , National Institute for Medical Research , Imperial College London , Radboud University Nijmegen , Maastricht Science Programme
Organization Sensory-Motor Systems Lab
Hosts Paez Diego, Dr. , Paez Diego, Dr.
Topics Medical and Health Sciences , Information, Computing and Communication Sciences , Engineering and Technology
Assessing the feasibility of plantar pressure measurement devices for monitoring the diabetic population
The goal of the project is to assess the feasibility of using commercially available plantar pressure monitoring devices (so called smart insoles) on the diabetic population. Pressure ulcers are a common complication of the diabetic foot, and monitoring plantar pressure continuously is a potential measure of prevention. Diabetic patients are often prescribed personalized footwear (e.g., curved insoles that accommodate any deformity in the feet). This project aims at assessing the potential of the smart insoles available on the market to monitor plantar pressure in diabetic patients with such custom footwear.
Keywords
wearables, mobile health, prevention, plantar pressure monitoring, diabetic foot
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Semester Project , Bachelor Thesis
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Published since: 2024-03-26 , Earliest start: 2024-04-08 , Latest end: 2024-09-02
Organization Biomedical and Mobile Health Technology Lab
Hosts Galli Valeria
Topics Medical and Health Sciences , Engineering and Technology
Physics-informed machine learning in microfluidics
Understanding the distribution and mechanics of velocity and pressure within microaneurysms is crucial for controlling microrobots navigating through them. Traditional methods for velocity and pressure measurement in microchannels, such as particle image velocimetry (PIV) and numerical simulations based on fluidic physics laws, suffer from high computational demands and inability to operate in real-time. Moreover, pure image methods struggle with near-wall regions lacking visible particles. Leveraging recent advancements in machine learning, particularly convolutional neural networks (CNNs), this project proposes a novel approach - a physics-informed CNN integrated with Navier-Stokes equations and optical flow equations. This CNN aims to accurately predict velocity and pressure profiles in microchannel flows in real-time using only flow images and essential physical parameters. The network architecture comprises an encoder-decoder structure with seven convolutional layers, incorporating down-sampling and up-sampling layers. The final output layer produces three channels representing horizontal velocity, vertical velocity, and pressure. Additionally, a physics-informed loss function, incorporating dimensionless Navier-Stokes equation residuals and optical flow equation residuals, enhances the model's performance by integrating knowledge of fluid dynamics and computer vision. This approach represents a promising advancement towards achieving real-time, high-accuracy prediction of velocity and pressure fields in microchannel flows, with potential applications in microrobotics and microfluidics.
Keywords
artificial Intelligence, physics-informed machine learning, microfluidics, fluid dynamics
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Semester Project , Bachelor Thesis , Master Thesis
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Published since: 2024-03-05 , Earliest start: 2023-02-09 , Latest end: 2024-09-22
Organization Acoustic Robotics for Life Sciences and Healthcare (ARSL)
Hosts Medany Mahmoud
Topics Information, Computing and Communication Sciences , Engineering and Technology , Physics
Microrobot manipulation and ultrasound imaging
We want to expand the use of acoustic microrobots for biomedical applications by studying their manipulation in 3D environments and their simultaneous real time tracking using non-invasive ultrasound imaging.
Keywords
Microrobots, Ultrasounds, 3D manipulation, Imaging
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Semester Project , Bachelor Thesis , Master Thesis , Summer School
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Published since: 2024-02-27 , Earliest start: 2024-01-01 , Latest end: 2024-10-31
Organization Acoustic Robotics for Life Sciences and Healthcare (ARSL)
Hosts Del Alexia
Topics Engineering and Technology
Acoustic microrobots navigation in tumor vasculature model
We want to expand the use of acoustic microrobots for drug delivery applications in tumor environments.
Keywords
Microfluidics, drug delivery, Microrobots, Ultrasound, Biomedical
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Semester Project , Collaboration , Bachelor Thesis , Master Thesis
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Published since: 2024-02-27 , Earliest start: 2024-02-01 , Latest end: 2024-10-31
Organization Acoustic Robotics for Life Sciences and Healthcare (ARSL)
Hosts Del Alexia
Topics Engineering and Technology
Bioinspired Ultrasound Microrobots
Inspired by naturally-occurring microswimmers such as spermatozoa that exploit the nonslip boundary conditions of a wall, we propose here a microrobot design (a “sperm-bot”) that can execute upstream motility triggered by ultrasound.
Keywords
Robotics, micro and nanorobots, microrobotics, soft robotics ultrasound, bioinspired
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Semester Project , Bachelor Thesis , Master Thesis , Summer School
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Published since: 2024-02-15 , Earliest start: 2024-10-01 , Latest end: 2024-12-19
Organization Acoustic Robotics for Life Sciences and Healthcare (ARSL)
Hosts Ahmed Daniel, Prof.
Topics Engineering and Technology
Resonant Acoustic Microrobots
The newly designed microrobot consists of a cavity at the center of its body within the polymer matrix. The microcavity supports an air-bubble trap, which enables propulsion in an acoustic field.
Keywords
Keywords: microrobotics, soft swimmers, acoustics, ultrasound, biomedical applications
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Bachelor Thesis , Master Thesis
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Published since: 2024-02-15 , Earliest start: 2024-02-15 , Latest end: 2024-12-19
Organization Acoustic Robotics for Life Sciences and Healthcare (ARSL)
Hosts Ahmed Daniel, Prof.
Topics Engineering and Technology
Activity and fatigue detection using machine learning based on real-world data from smart clothing
The aim of this project is to use machine learning methods to extract useful information such as activity type and fatigue level from real-world data acquired from our textile-based wearable technology during sport activities.
Keywords
smart clothing, wearable technology, textile sensor, fitness tracking, sports medicine, fatigue, machine learning, artificial intelligence, computer science
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Semester Project , Bachelor Thesis , Master Thesis
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Published since: 2024-02-14 , Earliest start: 2023-09-15 , Latest end: 2024-05-31
Organization Biomedical and Mobile Health Technology Lab
Hosts Ahmadizadeh Chakaveh
Topics Information, Computing and Communication Sciences , Engineering and Technology
Develop software for wearable technologies
The aim of this project is to develop mobile software to communicate with our already developed textile-based wearable technology and process sensor data for movement monitoring.
Keywords
smart clothing, wearable technology, software development, fitness tracking, sports medicine, mobile application, computer science
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Semester Project , Bachelor Thesis , Master Thesis
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Published since: 2024-02-14 , Earliest start: 2023-09-15 , Latest end: 2024-05-31
Organization Biomedical and Mobile Health Technology Lab
Hosts Ahmadizadeh Chakaveh
Topics Information, Computing and Communication Sciences , Engineering and Technology
Design data acquisition solution for smart clothing
The aim of this project is to develop and improve wearable electronics solutions for data acquisition from textile-based sensors used in our smart clothing.
Keywords
smart clothing, wearable technology, textile sensor, fitness tracking, sports medicine, PCB, electronics, computer science
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Semester Project , Bachelor Thesis , Master Thesis
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Published since: 2024-02-14 , Earliest start: 2023-09-15 , Latest end: 2024-05-31
Organization Biomedical and Mobile Health Technology Lab
Hosts Ahmadizadeh Chakaveh
Topics Information, Computing and Communication Sciences , Engineering and Technology
Conduct human gait study with optical motion capture to assess smart clothing for movement monitoring
We aim to conduct a study with human participants to assess the function of our textile-based wearable technology for movement monitoring in clinical and fitness scenarios.
Keywords
smart clothing, wearable technology, textile sensor, fitness tracking, sports medicine, rehabilitation, human study, motion capture, computer science
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Semester Project , Internship , Bachelor Thesis , Master Thesis
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Published since: 2024-02-14 , Earliest start: 2023-09-15 , Latest end: 2024-05-31
Organization Biomedical and Mobile Health Technology Lab
Hosts Ahmadizadeh Chakaveh
Topics Medical and Health Sciences , Information, Computing and Communication Sciences , Engineering and Technology
Controlling a Magnetically Actuated Inverted Pendulum
Balancing a 3D inverted pendulum using remote magnetic actuation
Keywords
Inverted Pendulum, Machine Learning, Feedback Control, Dynamical Systems
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Semester Project , Bachelor Thesis , Master Thesis
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Published since: 2024-02-08 , Earliest start: 2024-02-11 , Latest end: 2024-09-01
Organization Multiscale Robotics Lab
Hosts Zughaibi Jasan
Topics Engineering and Technology
Microfluidic fabrication and acoustic control of gas filled liposomes
Already today, microbubbles are being used as ultrasound contrast agents. Their ability to precisely be manipulated to a target area gives rise to a lot of new possible applications. specially the ability to deliver drugs accurately and avoiding drug-tissue interactions with the surrounding healthy tissue would be groundbreaking for modern medicine. WE plan to implement a stable on-chip fabrication of liposomes and microbubbles and study the acoustic effect over the produced microbubbles. We investigate the effect of flow rates on the size of the produced bubbles and examine their stability.
Keywords
Acoustic, microrobots, drug delivery, biology, chemistry, biomedical, ultrasound, mechanical, microfluidics
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Semester Project , Bachelor Thesis , Master Thesis , ETH Zurich (ETHZ)
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Published since: 2024-01-19
Organization Acoustic Robotics for Life Sciences and Healthcare (ARSL)
Hosts Del Alexia
Topics Engineering and Technology , Biology
Computational Modeling of Artificial Muscle Cells for Biohybrid Robots
This research aims to advance biohybrid robotics by integrating living biological components with artificial materials. The focus is on developing computational models for artificial muscle cells, a critical element in creating biohybrid robots. Challenges include modeling the complex and nonlinear nature of biological muscles, considering factors like elasticity and muscle fatigue, as well as accounting for fluid-structure interaction in the artificial muscle's environment. The research combines first principle soft body simulation methods and machine learning to improve understanding and control of biohybrid systems.
Keywords
Biohybrid Robotics, Computational Models, Soft Body Simulation, Machine Learning, Surrogate Models, Finite Element Method (FEM)
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Semester Project , Bachelor Thesis , Master Thesis
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Published since: 2024-01-05 , Earliest start: 2024-02-01 , Latest end: 2024-12-31
Organization Soft Robotics Lab
Hosts Katzschmann Robert, Prof. Dr. , Mekkattu Manuel
Topics Information, Computing and Communication Sciences , Engineering and Technology , Biology , Physics
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
Smart shape morphing robots enabled by microbubble arrays
In this project, we would like to create a robot with a soft body patterned with 10,0000 microbubbles. This robot can switch its shape in multiple shapes and can move forward using different motion types. This mechanism will be used for wireless mobile machines, selective steering, and autonomous cargo delivery in vivo.
Keywords
Microrobotics; Shape morphing; Acoustics; Bubbles;
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Bachelor Thesis , Master Thesis
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Published since: 2023-12-06 , Earliest start: 2024-01-01 , Latest end: 2024-08-31
Organization Acoustic Robotics for Life Sciences and Healthcare (ARSL)
Hosts Ahmed Daniel, Prof.
Topics Engineering and Technology , Physics
Microswarms diverse patterning and autonomous navigation enabled by deep learning-based acoustic actuating
In this project, we will fabricate a 2D mobile platform for diverse patterning and autonomous navigation of acoustically stimulated micro-robot swarms using deep learning and computer vision.
Keywords
AI; Deep learning; Microrobotics; Micromanipulation; Acoustics
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Bachelor Thesis , Master Thesis , ETH Zurich (ETHZ)
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Published since: 2023-12-06 , Earliest start: 2024-01-01 , Latest end: 2024-08-31
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Organization Acoustic Robotics for Life Sciences and Healthcare (ARSL)
Hosts Zhang Zhiyuan
Topics Information, Computing and Communication Sciences , Physics