Search for dissertations about: "hjärtsjukdomar"
Showing result 1 - 5 of 10 swedish dissertations containing the word hjärtsjukdomar.
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1. Caring for Patients with an Implantable Cardioverter Defibrillator Experiences of Patients and Healthcare Professionals
Abstract : Background: An Implantable Cardioverter Defibrillator (ICD) is a technical device used in the treatment of ventricular arrhythmias. After the implantation of an ICD the entire life situation can be affected with psychological and social consequences for the patient and his/her next of kin. READ MORE
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2. Doppler evaluation of coronary blood flow and coronary flow reserve - Clinical and experimental studies
Abstract : Heart diseases in children cause different combinations of myocardial hypertrophy, increased intra-ventricular pressures, volume overload and decreased oxygen saturation. This may affect basal coronary flow and the ability of the heart to maximally increase coronary flow. READ MORE
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3. Magnetic resonance imaging techniques for evaluation of left ventricular function
Abstract : Hjärtinfarkt är en av de vanligaste anledningarna till för tidig död. Vid en hjärtinfarkt dör delar av hjärtmuskeln på grund av att den utsätts för mycket kraftig syrebrist när ett kranskärl täpps till. Även hjärtmuskelvävnad i infarktens närhet påverkas. Hjärtats vänsterkammare förser kroppen med syresatt blod. READ MORE
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4. Quality of life and ethics-patients with ischemic heart disease
Abstract : One month and one year after acute myocardial infarction (AMI) (n=296), coronary artery bypass grafting (CABG) (n=99) and percutaneous coronary intervention (PCI) (n=18) patients completed a questionnaire for self-assessment of quality of life (QoL) during the period 1989?1991. Patients differed from age- and sex-matched controls (n=88) in both somatic and emotional dimensions, but less after one year of follow-up. READ MORE
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5. Statistical inference and time-frequency estimation for non-stationary signal classification
Abstract : This thesis focuses on statistical methods for non-stationary signals. The methods considered or developed address problems of stochastic modeling, inference, spectral analysis, time-frequency analysis, and deep learning for classification. READ MORE