Avancerad sökning
Visar resultat 1 - 5 av 18 uppsatser som matchar ovanstående sökkriterier.
1. Straight to the Heart : Classification of Multi-Channel ECG-signals using MiniROCKET
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Machine Learning (ML) has revolutionized various domains, with biomedicine standing out as a major beneficiary. In the realm of biomedicine, Convolutional Neural Networks (CNNs) have notably played a pivotal role since their inception, particularly in applications such as time-series classification. LÄS MER
2. Models and Algorithms for Personalized Glycemic Control
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Glycemic control is resource-demanding in the treatment of Intensive Care Units (ICUs) patients where blood glucose measurements are taken continuously at few-hour intervals to avoid the risk of having a patient in a coma, or in the worst case, causing death. The number of diabetes patients, mostly type 2 diabetes, is increasing around the world, and at the same time, we have an ongoing pandemic of Covid-19 with health workers stretched to their limits. LÄS MER
3. Parameter estimation in a cardiovascular computational model using numerical optimization : Patient simulation, searching for a digital twin
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Developing models of the cardiovascular system that simulates the dynamic behavior of a virtual patient’s condition is fundamental in the medical domain for predictive outcome and hypothesis generation. These models are usually described through Ordinary Differential Equation (ODE). LÄS MER
4. Mobilt operationsbord för trakeotomi - Från prototyp till egentillverkning av MT-utrustning på Karolinska Universitetssjukhuset
Kandidat-uppsats, KTH/Medicinteknik och hälsosystemSammanfattning : Medicinteknisk utrustning (MT) har en stor och avgörande roll i dagens samhälle för att kunna utföra en patientsäker sjukvård. De senaste tekniska framstegen har försett sjukvården med otaliga skräddarsydda MT-produkter för olika behov som uppstår vid behandling av patienterna. LÄS MER
5. Development and validation of an ultrafiltration-UHPLC-MS/MS method for the quantification of unbound Beta-Lactam antibiotics cefotaxime, piperacillin, cloxacillin and flucloxacillin in plasma
Master-uppsats, KTH/Tillämpad fysikalisk kemiSammanfattning : Infections in critically ill patients are a problem for the healthcare system and at any one time, 70 % of all intensive care unit (ICU) patients are treated with antibiotics. Antibiotics bind toproteins in the blood, but only unbound drug can diffuse over capillary membranes and bindto the targeted receptor. LÄS MER