Biomedical and Mobile Health Technology Lab

Open Opportunities

Conductive polymer deposition for textile strain sensors ETH Zurich Biomedical and Mobile Health Technology Lab The goal of the project is to develop and optimize polymer deposition procedures to obtain elastic and conductive textile components. Developed procedures can then be further used in wearable electronics for biomedical applications, such as capacitive strain sensors. Macromolecular Chemistry, Medical and Health Sciences, Physical Chemistry Bachelor Thesis, Master Thesis, Semester Project

Smart wearables to monitor human movements and posture based on cutting-edge textile-based sensing modalities ETH Zurich Biomedical and Mobile Health Technology Lab We want to investigate the feasibility of using novel inductive and/or capacitive sensing modalities to monitor human movements in wearable applications. Our aim is to develop wearable technologies that are light and unobtrusive and provide data that can be used to inform on, guide, track, or improve human movement. Engineering and Technology, Information, Computing and Communication Sciences, Medical and Health Sciences Master Thesis

Optimizing and evaluating an FMG band for online control of a robotic hand orthosis ETH Zurich Rehabilitation Engineering Lab Other organizations:  Biomedical and Mobile Health Technology Lab Despite the enormous potential of robotic assistive technologies in daily life applications and their remarkable technical advances in recent years, a major remaining challenge is the robust and reliable detection of the user’s intention to trigger the desired motion. One possible intention detection strategy is measuring the changes in the limb’s muscular stiffness pattern during muscle activations and relaxations, so-called force myography (FMG). However, the application of this technology to orthotics is still relatively rare. Thus, this project continues previous works on demonstrating the use of FMG signals collected through a wearable device to control a robotic hand orthosis, specifically the RELab tenoexo. Biomechanical Engineering, Rehabilitation Engineering, Robotics and Mechatronics Master Thesis

Machine Learning for Healthcare: Signal Quality Assessment of Biosignals ETH Zurich Biomedical and Mobile Health Technology Lab We aim to develop an efficient algorithm able to run in real-time within a mobile phone, to collect high-quality electrocardiogram (ECG) and photoplethysmogram (PPG) signals. Engineering and Technology, Information, Computing and Communication Sciences, Mathematical Sciences, Medical and Health Sciences Bachelor Thesis, Master Thesis, Semester Project

Machine Learning Evaluation of A Multi-User High-Performance Computer ETH Zurich Biomedical and Mobile Health Technology Lab Explore how machine learning algorithms are impacted by the several choices of general-purpose computing capable (not only graphics) of our GPU station to produce a high computation environment with minimal cost. More importantly, our system will be recommended to facilitate computational tasks of research projects for faculty members and students. Engineering and Technology, Information, Computing and Communication Sciences, Mathematical Sciences, Physics Bachelor Thesis, Master Thesis, Semester Project

Accelerometer Data Analysis for Health Monitoring ETH Zurich Biomedical and Mobile Health Technology Lab We aim to develop a machine learning model for accelerometer data collected from a user’s smartphone that can identify the user’s behavior and circadian rhythm. Behavioural and Cognitive Sciences, Engineering and Technology, Information, Computing and Communication Sciences, Mathematical Sciences, Medical and Health Sciences, Physics Bachelor Thesis, Master Thesis, Semester Project

Data Science: Detection of Paroxysmal Atrial Fibrillation ETH Zurich Biomedical and Mobile Health Technology Lab We aim to predict accurately paroxysmal atrial fibrillation within 7 days of its occurrence. Engineering and Technology, Information, Computing and Communication Sciences, Mathematical Sciences, Medical and Health Sciences Bachelor Thesis, Master Thesis, Semester Project

Blood Pressure Assessment Using a Selfie Video ETH Zurich Biomedical and Mobile Health Technology Lab We aim to develop a smartphone app to differentiate between hypotensive, normotensive, and hypertensive subjects. Engineering and Technology, Information, Computing and Communication Sciences, Mathematical Sciences, Medical and Health Sciences Bachelor Thesis, Master Thesis, Semester Project

Smart Kiosk for Screening Main Symptoms of COVID-19 ETH Zurich Biomedical and Mobile Health Technology Lab We aim to develop an efficient app and algorithm to run in real-time on a kiosk prototype, collect vital signs and provide a COVID score accordingly. Engineering and Technology, Information, Computing and Communication Sciences, Mathematical Sciences, Medical and Health Sciences Bachelor Thesis, Master Thesis, Semester Project

Diagnosis of COVID-19 using Audio Signals ETH Zurich Biomedical and Mobile Health Technology Lab We want to analyze audio signals collected via a microphone from subjects diagnosed with COVID-19. We aim to develop an algorithm (or a statistical model) that effectively uses audio signals to differentiate COVID-19 patients from healthy subjects. Behavioural and Cognitive Sciences, Engineering and Technology, Information, Computing and Communication Sciences, Mathematical Sciences, Medical and Health Sciences, Physics Bachelor Thesis, Master Thesis, Semester Project