MSc thesis projects - Biomedical signal processing/wavefield imaging

Here is a list of possible MSc thesis projects related to the theme Biomedical signal processing/wavefield imaging. This is intended just to give an idea, actual projects are usually defined after discussion with the advisor.

Thesis topics at CWI

Center for Mathematics and Computer Science, Amsterdam

Prostate cancer detection via contrast-enhanced ultrasound: modelling micro-bubble recirculation

Decoding Emotions: Advanced Analysis of Vocal Expressions in Children With Hearing Impairment

Detecting differences in vocal emotions of Children with and without hearing impairments. This project is a collaboration between TUDelft - SPS and Sophia Children’s Hospital at EMC Rotterdam.

Analysis of electrophysiologic data acquired on PhysioHeartTM platform (ex-vivo beating heart)

Development of automated and (semi) live analysis of electrophysiologic data acquired from an isolated ex-vivo beating porcine heart.

Nonlinear identification of the hemodynamic response in functional ultrasound

The goal of this thesis is use Volterra kernels to investigate the nonlinear characteristics of the functional ultrasound signal measure in the brain in response to external stimuli; and their dependence on the stimulus.

Audio processing in wireless earbuds (Several assignments with the company Dopple)

What can you do with an in-ear computer, 8 microphones, a motion sensor, and multiple wireless links?

Spectral Noise Estimation for Hearing Aids

Absolute Audio Labs BV (AAL) is an internationally recognised innovation leader in the field of advanced hearing, voice and safe listening embedded software applications. Most AAL applications are dependent on reliable noise estimation as the first step in the audio chain. In this assignment, the task is to develop an improved noise PSD estimator.

In ear (with hearing aid) based Biomedical Signal Processing

Over the last years, Sonion has developed an offering to measure Biomedical signals in the ear based on PPG technology. The goal of this project is to advance this technology in order extract information on the users' physiological condition.

Generalized signal models in MRI

Electrical Properties Tomography - Theory and Validation

Nonlinear Model Order Reduction Methods for Inverse Scattering Problems

Domain Integral Equation Preconditioning in Electromagnetics for Elongated Structures

Active Noise Reduction for MRIs

Patients who undergo MRI scanning or are treated with radiotherapy on a MRLinac in a mask suffer from acoustic noise produced by the MR scanner. The aim is to reduce acoustic noise burden to the patient.

Optimizing the analysis of auditory event-related potentials in EEG (with Erasmus Medical Center)

In this project we intend to predict variation in neurodevelopment from auditory event-related potentials (ERPs) measured with EEG. This project is a collaboration between TUDelft - CAS and Sophia Children’s Hospital at EMC Rotterdam.

Contactless determination of vital parameters for improved healthcare (with Intelliprove)

The aim of the project is to extract vital parameters such as heart rate from video, based on the principles of remote photopletysmography (rPPG) using signal processing techniques.

Heart rate extraction from speech signals

Assessment of patient’s therapy response based on smartphone data

Clinical trials are moving from the clinic towards inclusion of real-world data and measurements. This allows to study the effect of medication in a more continuous manner and also monitor objective aspects that were previously evaluated by structured interviews. To allow these measurements, the Centre for Human Drug Research (CHDR) has developed a platform that allows for home monitoring of the effect of medication. In this project, a close collaboration with the CHDR is foreseen, where algorithms will be developed to improve the current platform.

Cell-to-sensor distance estimation for epicardiac measurements

Develop improved data models for better understanding the principles underlying Atrial Fibrillation

Improving signal quality of a wearable device for electrocardiogram (ECG) measurement

(At PraxaSense) Motion artefact removal for a 2-electrode ECG

Dynamic brain network analysis

Cardiac Arrhythmia Data Analysis (several projects)

Atrial fibrillation is the most common cardiac arrhythmia. The mechanisms are poorly understood. Using high-resolution multichannel data sets, we try to derive data models and indicators.