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Material State and Heat Treatment Effects on the Corrosion of Mg-Zn Alloys for Biomedical Use

This study investigates the corrosion behavior of a magnesium-zinc (Mg-Zn) alloy in a simulated body-like environment, with the aim of optimizing its degradation rate for biodegradable medical implant applications. These implants are designed to support bone healing and then gradually degrade once no longer needed, thereby eliminating the need for additional surgery. Magnesium alloys are promising

Enhancing PyDDM Usability: Aiming For A More Accessible Workflow For Non-Specialists

This research is a part of a new, up and coming field in exploring differential dynamic microscopy (DDM) as a method for research in biomaterials. DDM is a method that enables the possibilities of working with non-transformed images in real time while still providing information about the dynamics without the need for complex optics or lasers. The analysis is possible through the Fourier Transform

Separating Circulating Tumor Cells from Blood Utilizing Inertial Focusing

Knowing whether circulating tumor cells (CTCs) are present in the body and to what extent, may be crucial to get an understanding of disease progression and the chosen method of treatment. Further it is of importance to be able to separate CTCs as they are significant when finding new biomarkers for different cancer types. However the research into this area is held back by non-efficient cell sepa

Utbildningsplattform för omvårdnadspersonal som behöver ökad kunskap om Parkinsons sjukdom

This project introduces the development of a digital educational platform designed to strengthen knowledge and awareness of Parkinson’s disease among healthcare personnel, particularly within home care and nursing services. The initiative stems from a recognized need for accessible and disease-specific information, as new employees often do not receive the training and knowledge needed to provide

Machine learning models for classification of myocardial infarction using the PTB-XL dataset

Electrocardiogram (ECG) is an important tool for diagnosing myocardial infarction (MI), but analyzing the ECG signals can sometimes be difficult for physicians. Machine learning could potentially help provide a fast and consistent interpretation of ECG signals. This study aims to evaluate the performance of different machine learning models for classifying MI using ECG data from the PTB-XL dataset

Algorithmic mapping of sensory trajectories in the hand based on transcutaneous median nerve stimulation

Our hands are highly intricate structures with complicated pathways for sensation and motor control. When exposed to a nerve-affecting injury, the process of rehabilitation is long and complicated, with no guarantee of success. Studies have shown that electrical stimulation proximal to the injury site could provide a way to regain sensations in the distal parts of the hand. By stimulating in diffe

Variability in CoP during running gait

Gait analysis has through previous studies been proven to be indicative of health and useful in monitoring recovery following injuries affecting walking and running gait. There are many parameters to measure regarding gait depending on the desired outcome of the analysis. This project focuses on center of pressure (CoP) data collected during running using a force plate instrumented treadmill (HP C

Fall prediction and prevention using miniature mm-wave radar sensors for elderly care

100 000 elderly fall each year, costing the healthcare system up to 750 million SEK. Beyond the financial part, these accidents could lead to serious injuries such as head trauma or hip replacements, and in the worst case, even death. This project aims to find a preventive technique that will make life easier for the elderly while saving money and resources for society. The aim is to gather data

Maskininlärning för prediktion av dödlighet och hospitalisering hos hjärtsviktspatienter

Heart failure is one of the most common causes of hospitalization in Sweden, and 30\% of all heart failure patients need unplanned readmissions within three months, creating a burden on the healthcare system. This project was conducted within the healthcare model "Hospital at Home", where there is currently no systematic follow-up method of heart failure patients. By monitoring those wit

Högfrekvent ultraljud för diagnosticering av Hirschsprungs sjukdom hos spädbarn

The report investigates whether ultra-high-frequency ultrasound at 30 MHz can distinguish healthy- from diseased intestinal tissue in infants with Hirschsprung's disease with the same accuracy as 50 MHz. Hirschsprung's disease is defined as the absence of ganglion cells in the distal parts of the intestine. During treatment, the affected sections of the intestine are surgically removed. Th

Hur U-Net hyperparametrar och datakvalitet påverkar minskning av bildstörningar i magnetresonanstomografi

Medical imaging plays a vital role in modern diagnostics, enabling accurate disease detection and treatment planning. In recent years, deep learning-especially using convolutional neural networks (CNNs) has revolutionized medical image segmentation. One prominent CNN architecture is U-net, developed specifically for biomedical image segmentation. Its structure with symmetric encoder-decoder layers

Bias Compensation in Pressure Mat Used in Running Trials: A Comparative Study with a Force Plate

Measurements of vertical ground reaction force (vGRF) is an important factor to consider in gait analysis and is often used in clinical studies. Traditionally, these measurements are often done using force plate sensors embedded in the ground. Recent advancements in the field have made it possible to conduct these studies using treadmills with similar embedded sensors, systems consisting of either

Automatiserat flaggningssystem för proaktivt medicintekniskt patientsäkerhetsarbete

Patient safety is a key component in healthcare, in particular within the widespread use of medical technology. A proactive approach to patient safety in medical technology is essential for fulfilling the healthcare system’s duty to protect patients from harm. At the department Digitalisering IT och MT at Region Skåne, all proactive patient safety efforts are currently handled manually. The aim of

Vad händer i hjärnan när vi blir rädda? - En visualisering

In order for a person to experience a fear response, a platitude of different brain parts and processes are required. Both small parts, like the amygdala and hypothalamus, and larger parts, like the prefrontal cortex, are necessary. While a lot of fear responses have a similar outline, there are differences in the expressions and activations of the brain parts. In this project, a prototype model

Lärande hälsosystem i psykiatrin: Visualisering och analys av data från DIALOG+

Mental health services increasingly seek ways to implement Learning Health Systems (LHS) to enhance care quality of patients. This bachelor's thesis focuses on DIALOG+, a structured tool used in psychiatry designed for patient-centered communication. By visualizing and analysing data from DIALOG+, continuous learning can be supported within clinical settings to improve treatment and organizati

Correlation between immersion testing methods for evaluating corrosion rate in magnesium alloys

A challenge when predicting physiological corrosion behaviour of biomaterials is the lack of established correlation between the results from in vitro and in vivo studies. This project investigates how the selection of immersion testing method affects the degradation of magnesium based alloys by comparing corrosion rates obtained from three methods: bioreactor, incubator and isothermal calorimetry

Minimal Submanifolds of the Classical Compact Riemannian Symmetric Spaces

Minimal submanifolds constitute a central area within the realm of differential geometry, due to their many applications in various branches of physics. An illustrative example is found in the behavior of soap films, which in striving to balance pressure, naturally assume surfaces characterised by zero mean curvature. In this thesis we will employ a recent result of S. Gudmundsson and T.J. Munn t

Studies of fundamental properties of chlorophyll molecules using steady state fluorescence anisotropy and two-dimensional electronic spectroscopy

Människor har att tacka fotosyntesen för sin existens. Fotosyntesen sker inuti bladen hos högt stående växter, alger, samt hos vissa mikroorganismer (t ex gröna svavelbakterier, cyanobakterier, etc). Fotosyntesens första steg involverar uppfångandet av ljus och överförandet av dess energi till något som kallas reaktionscentrat. Processen involverar en molekyl som kallas (bakterie)klorofyll. Där fiThe purpose of this study is two-fold: first to validate previous findings, that showed that the central atom in (bacterio)chlorophyll changes ligand coordination number upon being cooled at a certain rate (in certain solvents), and to resolve the Qx and Qy bands from the total absorption spectrum. We studied bacteriochlorophyll A (BChl A), bacteriochlorophyll C (BChl C), and chlorophyll A (Chl A)

Tryggve, Improving the Standard Crutch - A Bachelor Project by Bea Olsson

This bachelor’s degree project investigates the improvement of the functionality, comfort, and aesthetics of forearm crutches for people living with temporary or chronic mobility limitations. The target group of individuals aged 40-65 reflects a wide range of lifestyles, from short-distance mobility to commuting. Through interviews and observations with individuals that belong to the target group,