Essays about: "Myocardial"

Showing result 6 - 10 of 68 essays containing the word Myocardial.

  1. 6. Feasibility of quantitative 99mTc-DPD scintigraphy SPECT/CT for assessing the burden of ATTR cardiac amyloidosis

    University essay from Umeå universitet/Radiofysik

    Author : Sajad Kadhim Khalaf; [2023]
    Keywords : QSPECT; Amyloidosis; ATTR; LVMI; Recovery Coefficient; SUV; Calibration;

    Abstract : Background: Amyloid transthyretin (ATTR) cardiomyopathy is caused by the deposition of misfolded proteins, known as amyloid fibrils, in the myocardium. Quantitative Single Photon Emission Computed Tomography (QSPECT) utilizing 99mTc-DPD scintigraphy has the potential to assess ATTR-suspected cardiac amyloidosis (CA). READ MORE

  3. 7. Influencing factors of delayed medical treatment in patients with acute myocardial infarction : A descriptive review

    University essay from Högskolan i Gävle/Avdelningen för vårdvetenskap

    Author : Ma Jieyu; Lin Huixian; [2022]
    Keywords : ;

    Abstract : Background: A 2017 study estimated that more than 800,000 people suffer from acute myocardial infarction each year, and in most cases, 27% of patients die from it before they reach the hospital. Pre-hospital delays have been relatively stable over the past two decades, and have not improved significantly in any of those two decades. READ MORE

  4. 8. Förändringar i vilo-EKG hos hästar med dynamiska obstruktioner i de övre luftvägarna

    University essay from SLU/Dept. of Clinical Sciences

    Author : Maria Neil; [2022]
    Keywords : DDSP; felläge av mjuka gommen; upprättstående struplock; stämbandsförlamning; gomsegelhöjning; T-vågor; ventrikulära arytmier; endoskopi;

    Abstract : Hästar med övre luftvägsobstruktioner har visat sig vara predisponerade för utvecklingen av arytmier. Även om dessa är relativt vanligt förekommande i återhämtningsfasen är en ökad förekomst alarmerande då ventrikulära arytmier tros vara den vanligaste anledningen till de plötsliga dödsfall som sker på banorna. READ MORE

  5. 9. Automatic classification of cardiovascular age of healthy people by dynamical patterns of the heart rhythm

    University essay from Linköpings universitet/Statistik och maskininlärning

    Author : priya kurian pullolickal; [2022]
    Keywords : Electrocardiogram ECG measures the electrical impulses of the heart. The time inter- val between two successive R peaks measured in millisecond using an ECG is called as an RR-interval. The distribution of the RR-intervals as well as classification of cardiovascu- lar age of healthy people from RR-interval was done in this thesis. For that; the data was preprocessed and time series plots were analyzed from sample dataset. The RR-intervals were then aligned to have the same start time using functions written and then an aver- age RR-interval series for each decade was created. The coefficient of variation was very less for this averaged dataset which concluded that averaging the RR-interval was a good approach. The averaged dataset per age decade as well agreed to the conclusion of the sample data set that the heart rate variability decreases with increasing age. Three clusters of age decade were also visible in the averaged dataset. The kurtosis; skew; mean; me- dian; histograms and Q-Q Plot were calculated for the sample as well as averaged dataset to find the distribution. The values all concluded that the RR-intervals follow Gaussian distribution or mixture of Gaussian distribution. The Poincaré plots showed that the dis- tribution of RR-interval is comet shaped for healthy individuals. The features were ex- tracted from the distribution as well as from the distribution of Discrete Fourier Transform DFT for classifying the age group from RR-intervals. Svitzky-Golay filtering was done to smooth the signal before taking the features from DFT. Random Forest and Support Vector Machine was the machine learning algorithms used to classify the age decade. Later the results were compared using a dataset from physionet that had RR-intervals of individuals suffering from myocardial infraction. The age classification using Random Forest and Sup- port Vector Machine concluded that the Gdańsk dataset using Random Forest Algorithm and three classes gave the highest test accuracy of 59% for the dataset.;

    Abstract : .... READ MORE

  6. 10. Deep Learning for Prediction of Falling Blood Pressure During Surgery : Prediction of Falling Blood Pressure

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Navid Zandpour; [2022]
    Keywords : Arterial Blood Pressure; Convolutional Neural Network; Supervised Learning; Hypotension; Prediction; Arteriellt Blodtryck; Faltningsnätverk; Övervakad Inlärning; Hypotension; Prediktion;

    Abstract : Perioperative hypotension corresponds to critically low blood pressure events during the pre, intra and postoperative periods. It is a common side effect of general anaesthesia and is strongly associated with an increased risk of postoperative complications, such as acute kidney injury, myocardial injury and in the worst case death. READ MORE