Open Positions
Would you like to join us? The following student projects are open for applications:
Thesis/Semester Projects (Master's/Bachelor's)
Development of a smart sock for plantar pressure monitoring
The goal of the project is to develop and test a smart sock prototype for plantar pressure measurements. The smart sock contains textile based pressure sensors and a readout module. This technology can be used for plantar pressure monitoring in diverse wearable applications ranging from healthcare to sports.
Keywords
wearables, smart textiles, plantar pressure, pressure sensors
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Master Thesis
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Published since: 2024-04-16 , Earliest start: 2024-03-01 , Latest end: 2025-02-28
Organization Biomedical and Mobile Health Technology Lab
Hosts Galli Valeria
Topics Medical and Health 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
Mechanophores for advanced wearable strain and pressure sensors
The goal of the project is to synthesize and characterize a number of small molecules capable of acting as mechanophore addition to various polymers. These polymers would then be used as wearable strain or pressure sensors.
Keywords
mechanophore, polymer, wearable, sensor, color, strain, pressure
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Master Thesis
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Published since: 2024-02-26 , Earliest start: 2023-09-01 , Latest end: 2024-08-01
Organization Biomedical and Mobile Health Technology Lab
Hosts Shokurov Aleksandr
Topics Engineering and Technology , Chemistry
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
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
Smart wearables to monitor human movements and posture based on cutting-edge textile-based sensing modalities
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.
Keywords
motion analysis, wearable technology, smart textile, medical technologies, and digital health
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Master Thesis
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Published since: 2023-12-11 , Earliest start: 2022-11-01 , Latest end: 2023-10-31
Organization Biomedical and Mobile Health Technology Lab
Hosts Ahmadizadeh Chakaveh
Topics Medical and Health Sciences , Information, Computing and Communication Sciences , Engineering and Technology
Previous Thesis/Semester Projects
- external page call_made AI-Powered Heartbeat Tracker with Smartphone Sensing
- external page call_made Analysing force-time profiles of manual therapy interventions
- external page call_made Anxiety Alert: Stay in Control of Your Stress Levels Anywhere, Anytime!
- external page call_made Automated Outcome Prediction for Pediatric Orthopedic Surgery
- external page call_made Composition optimization of screen-printable flexible pressure sensors
- external page call_made Conductive polymer pattern deposition for smart textile applications
- external page call_made Conductive thread modification for wearable strain sensors
- external page call_made Developing a textile-based tribovoltaic nanogenerator for daily motion and sport tracking
- external page call_made Developing a textile-based triboelectric nanogenerator for health monitoring
- external page call_made Estimating Sweat Biomarker Levels Using Smartphones
- external page call_made From Pixels to Pulse: How Smartphone Cameras and Machine Learning Illuminate Your Heart's Health
- external page call_made Optimizing the design of smart clothing for environmental robustness in daily use
- external page call_made Predicting Falls with Smartphone Accelerometers
- external page call_made Smart wearables to monitor human movements and posture based on cutting-edge textile-based sensing modalities
- external page call_made Smartphone Camera for Blood Pressure Classification
- external page call_made Stretchable, conductive polymer fibers of varying stiffness for auxetic strain sensors
- external page call_made The Future of Chiropractic: Machine Learning and Force Assessment
- external page call_made Your Sleep Story: Wearable Insights for Short- and Long-Sleepers