TIHA doktorandgrupp genomförde en dagskonferens 6 december för att presentera, diskutera och uppdatera varandra på våra aktuella projekt och nyligen publicerad forskning. Vi fick också en presentation av Near-projektet och hur det kan användas av oss för att lättare få tillgång till samlad forskningsdata. Under dagen gav också Överste Per Jernvald en uppskattad omvärldsanalys. TIHA […]
Read More
In November, I had the great opportunity to present preliminary results from the first sub-study in my doctoral project, “A Digital Life Story to Support Person-Centred Care of Older Adults withDementia: Healthcare Professionals’ Perspectives”. The theme of the conference was Interdisciplinary Perspectives on Sustainable Healthy Ageing.
Read More
Charlotte presenterar sin avhandling om smarta glasögon i komplexa vårdmiljöer på Nordic Conference in Nursing Research i Reykavik, Island.
Read More
Lisa och Charlotte presenterar forskningsposter om smarta glasögon i sjuksköterskeutbildningen på Nordic Conference in Nursing Research i Reykavik, Island.
Read More
Charlotte Romare, BTH, tilldelades 2019 års forskningsstipendium från ANIVA för Vårdpersonalens syn på smarta glasögon för övervakning av vitala parametrar i komplexa vårdmiljöer. Avhandlingen presenterades i samband med höstens SFAI/ANIVA kongress.
Read More
Under två härliga dagar 16,17 Augusti på Stufvenäs Gästgifveri fick TIHA-personalen ta del av mycket information om kurser i sjuksköterskeprogrammet, specialistsprogrammet, pågående forskning och nyheter. Mat och fysiska aktiviteter uppskattades, och personalen har beskrivit dagarna som bland annat informationsrika, roliga, givande och spännande.
Read More
Abstract Background:Normal voice production depends on the synchronized cooperation of multiple physiological systems, which makes the voice sensitive to changes. Any systematic, neurological, and aerodigestive distortion is prone to affect voice production through reduced cognitive, pulmonary, and muscular functionality. This sensitivity inspired using voice as a biomarker to examine disorders that affect the voice. Technological […]
Read More
Abstract Dementia is a disorder with high societal impact and severe consequences for its patients who suffer from a progressive cognitive decline that leads to increased morbidity, mortality, and disabilities. Since there is a consensus that dementia is a multifactorial disorder, which portrays changes in the brain of the affected individual as early as 15 […]
Read More
Abstract : Researchers have proposed several automated diagnostic systems based on machine learning and data mining techniques to predict heart failure. However, researchers have not paid close attention to predicting cardiac patient mortality. We developed a clinical decision support system for predicting mortality in cardiac patients to address this problem. The dataset collected for the experimental […]
Read More
Abstract Dementia is a cognitive disorder that mainly targets older adults. At present, dementia has no cure or prevention available. Scientists found that dementia symptoms might emerge as early as ten years before the onset of real disease. As a result, machine learning (ML) scientists developed various techniques for the early prediction of dementia using […]
Read More