Bachelor
Bachelor Theses at IRIS
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
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
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
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
ANYmal Operator meets Mixed Reality
This project aims to build an intuitive mixed reality (MR) interface for robot operators using Apple’s ARKit capabilities. Building on an existing iOS application, we want to provide the operators with a more immersive and informative interface. This involves showing the robot's sensory readings, sketching a global path for it, and playing back the robot's states in the application.
Keywords
ios, app, robotics, augmented reality
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Semester Project , Bachelor Thesis
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Published since: 2024-01-30 , Earliest start: 2024-02-01
Organization Robotic Systems Lab
Hosts Mittal Mayank
Topics Information, Computing and Communication Sciences
From Pixels to Pulse: How Smartphone Cameras and Machine Learning Illuminate Your Heart's Health
We aim to develop a machine-learning model that assesses heart activity and extract cardiac signal from a smartphone camera.
Keywords
Image processing, time series analysis, biosignal analysis, data science, medical technologies, and digital health.
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Bachelor Thesis , Master Thesis
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Published since: 2024-01-29 , Earliest start: 2024-02-05 , Latest end: 2025-02-05
Organization Biomedical and Mobile Health Technology Lab
Hosts Elgendi Moe
Topics Medical and Health Sciences , Mathematical Sciences , Information, Computing and Communication Sciences , Engineering and Technology , Behavioural and Cognitive Sciences , Physics
Analyzing Manual Therapy Forces in Spinal Manipulation
We aim to develop a graphical user interface with an integrated machine learning model to analyze forces applied during manual therapy interventions (spinal manipulation). Data is collected with a flexible sensor matrix between the practitioner and the patient.
Keywords
Time series analysis, force-time profile analysis, data science, and medical technologies
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Bachelor Thesis , Master Thesis
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Published since: 2024-01-29 , Earliest start: 2024-02-05 , Latest end: 2025-02-05
Organization Biomedical and Mobile Health Technology Lab
Hosts Elgendi Moe
Topics Medical and Health Sciences , Mathematical Sciences , Information, Computing and Communication Sciences , Engineering and Technology , Behavioural and Cognitive Sciences , Physics
Wearable Insights for Short- and Long-Sleepers
The project aims to develop an affordable wearable system that collects electroencephalograms (EEG) and electrocardiograms (ECG) to identify EEG and ECG features associated with short and long sleepers in a real-world environment.
Keywords
Wearables, sleep stages, brain waves, heart rate, breathing, and body and eye movements during sleep
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Bachelor Thesis , Master Thesis
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Published since: 2024-01-29 , Earliest start: 2024-02-05 , Latest end: 2024-02-05
Organization Biomedical and Mobile Health Technology Lab
Hosts Elgendi Moe
Topics Medical and Health Sciences , Mathematical Sciences , Information, Computing and Communication Sciences , Engineering and Technology , Behavioural and Cognitive Sciences , Physics
AI-Powered Heartbeat Tracker with Smartphone Sensing
We aim to develop a machine learning model for accelerometer and camera data collected from a user’s smartphone that can identify the user’s heart rate.
Keywords
Time series analysis, biosignal analysis, data science, medical technologies, and digital health.
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Bachelor Thesis , Master Thesis
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Published since: 2024-01-29 , Earliest start: 2024-02-05 , Latest end: 2025-02-05
Organization Biomedical and Mobile Health Technology Lab
Hosts Elgendi Moe
Topics Medical and Health Sciences , Mathematical Sciences , Information, Computing and Communication Sciences , Engineering and Technology , Behavioural and Cognitive Sciences , Physics
Predicting Falls with Smartphone Accelerometers
We aim to develop an Android-based app that utilizes a developed machine learning model and accelerometer data collected via the user’s smartphone for fall detection.
Keywords
Time series analysis, biosignal analysis, data science, medical technologies, and digital health.
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Bachelor Thesis , Master Thesis
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Published since: 2024-01-29 , Earliest start: 2024-02-05 , Latest end: 2025-02-05
Organization Biomedical and Mobile Health Technology Lab
Hosts Elgendi Moe
Topics Medical and Health Sciences , Mathematical Sciences , Information, Computing and Communication Sciences , Engineering and Technology , Behavioural and Cognitive Sciences , Physics
Estimating Sweat Biomarker Levels Using Smartphones
Sweat biomarker levels estimation using a smartphone
Keywords
Health Data Science, Biomedical Signal Processing, mHealth, Medical Technologies, and Digital Health
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Bachelor Thesis , Master Thesis
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Published since: 2024-01-29 , Earliest start: 2024-02-05 , Latest end: 2025-02-05
Organization Biomedical and Mobile Health Technology Lab
Hosts Elgendi Moe
Topics Medical and Health Sciences , Mathematical Sciences , Information, Computing and Communication Sciences , Engineering and Technology , Behavioural and Cognitive Sciences , Physics
Smartphone Camera for Blood Pressure Classification
Our goal is to develop a smartphone camera-based model capable of distinguishing between hypotensive, normotensive, and hypertensive subjects.
Keywords
Data analytics, image processing analysis, biosignal analysis, data science, medical technologies, and digital health.
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Bachelor Thesis , Master Thesis
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Published since: 2024-01-29 , Earliest start: 2024-02-05 , Latest end: 2025-02-05
Organization Biomedical and Mobile Health Technology Lab
Hosts Elgendi Moe
Topics Medical and Health Sciences , Mathematical Sciences , Information, Computing and Communication Sciences , Engineering and Technology , Behavioural and Cognitive Sciences , Physics
Automated Outcome Prediction for Pediatric Orthopedic Surgery
The project aims to develop a predictive model to identify motion features associated with motion improvement in children after surgery.
Keywords
Time-series analysis, biosignal analysis, statistical analysis, biomedical signal processing, and machine learning.
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Bachelor Thesis , Master Thesis
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Published since: 2024-01-29 , Earliest start: 2024-02-05 , Latest end: 2025-02-05
Organization Biomedical and Mobile Health Technology Lab
Hosts Elgendi Moe
Topics Medical and Health Sciences , Mathematical Sciences , Information, Computing and Communication Sciences , Engineering and Technology , Behavioural and Cognitive Sciences , Physics
Anxiety Alert: Stay in Control of Your Stress Levels Anywhere, Anytime!
We want to analyze biomedical signals collected from subjects with induced anxiety using a portable device. We aim to detect instantaneous anxiety and mood changes via portable devices. The data were already collected and ready to be analyzed. The data description is here: https://www.mdpi.com/2306-5729/7/9/132
Keywords
Stress detection, biomedical signal analysis, data science, medical technologies, and digital health
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Bachelor Thesis , Master Thesis
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Published since: 2024-01-29 , Earliest start: 2024-02-05 , Latest end: 2025-02-05
Organization Biomedical and Mobile Health Technology Lab
Hosts Elgendi Moe
Topics Medical and Health Sciences , Mathematical Sciences , Information, Computing and Communication Sciences , Engineering and Technology , Behavioural and Cognitive Sciences , Physics
Internships (Industrial or Research) on Body Modelling and Sensing Technology for Health Care in SCI
This hands-on work (internship or semester project) within a clinical setting will bring you close to intelligent health management while exploring multiple data systems. You will experience multimodal data of robotics rehabilitation, general clinical practice, and detailed clinical studies applied in classification and dimensionality reduction.
Keywords
Machine learning, time-series, HR, ECG, BP, wearables, nearables, Medical and health science, healthcare, Android studio, App development
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Semester Project , Internship , Lab Practice , Bachelor Thesis , Master Thesis , Other specific labels , ETH Zurich (ETHZ)
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Published since: 2024-01-27 , Earliest start: 2023-08-01 , Latest end: 2024-05-31
Applications limited to ETH Zurich , EPFL - Ecole Polytechnique Fédérale de Lausanne , Empa , Eawag , Zurich University of the Arts , 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 , Lucerne University of Applied Sciences and Arts , Institute for Research in Biomedicine , IBM Research Zurich Lab , Swiss Institute of Bioinformatics , CSEM - Centre Suisse d'Electronique et Microtechnique , Corporates Switzerland , CERN , Hochschulmedizin Zürich , Université de Neuchâtel , Università della Svizzera italiana , Swiss National Science Foundation , University of Konstanz , University of Hamburg , University of Erlangen-Nuremberg , University of Cologne , Universität zu Lübeck , Universität Ulm , Universität der Bundeswehr München , TU Dresden , TU Darmstadt , TU Berlin , Technische Universität Hamburg , Max Planck Society , Otto Von Guericke Universitat, Magdeburg , RWTH Aachen University , Ludwig Maximilians Universiy Munich , Humboldt-Universität zu Berlin , European Molecular Biology Laboratory (EMBL) , Eberhard Karls Universität Tübingen , Max Delbruck Center for Molecular Medicine (MDC) , Technische Universität München , Imperial College London , National Institute for Medical Research , Royal College of Art , UCL - University College London , University of Aberdeen , University of Cambridge , University of Manchester , University of Nottingham , University of Oxford , University of Leeds , Delft University of Technology , Maastricht Science Programme , Radboud University Nijmegen , Utrecht University
Organization Sensory-Motor Systems Lab
Hosts Paez Diego, Dr. , Paez Diego, Dr. , Paez Diego, Dr.
Topics Medical and Health Sciences , Information, Computing and Communication Sciences , 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
Applications limited to ETH Zurich
Organization Acoustic Robotics for Life Sciences and Healthcare (ARSL)
Hosts Zhang Zhiyuan
Topics Information, Computing and Communication Sciences , Physics