Essays about: "cardiovascular"

Showing result 41 - 45 of 290 essays containing the word cardiovascular.

  1. 41. The relation between extreme heat and ENSO and characterization of health risks in relation to varying levels of UTCI

    University essay from Lunds universitet/Ergonomi och aerosolteknologi

    Author : Emanuel Svensson; [2022]
    Keywords : El Niño; ENSO; relative risk; heat waves; cold spells; UTCI; cardiovascular diseases; exposure; Taiwan.; Technology and Engineering;

    Abstract : As a result of climate change, temperatures have been steadily increasing in the last half century and extreme weather events such as storms, extreme heat, extreme precipitation and cold spells have been observed to occur more frequently. This comes with potential consequences for lives and health. READ MORE

  3. 42. Systemic risk markers for cardiovascular diseases, effect of periodontal treatment : A literature study

    University essay from Umeå universitet/Institutionen för odontologi

    Author : Mohamed Sabee; Bilal Dumairieh; [2022]
    Keywords : Periodontitis; Periodontal treatment; cardiovascular diseases; blood lipids; cytokines; CRP;

    Abstract : ABSTRACT Background: Cardiovascular diseases (CVD) can be a risk factor for periodontitis, but periodontitis can also be a marker for an increased risk of cardiovascular diseases. In addition, the infectious biological effects may also be risk factors, such as increased number of cytokines or periodontal bacteria in the circulation. READ MORE

  4. 43. Deep Learning-Based Risk Prediction of Atrial Fibrillation Using the 12-lead ECG

    University essay from Uppsala universitet/Institutionen för informationsteknologi

    Author : Theogene Habineza; [2022]
    Keywords : ;

    Abstract : Atrial fibrillation is one of the most common cardiac arrhythmias that affects millions of people each year worldwide. As studies have shown, there exists a close link between atrial fibrillation (AF) and increased risk of cardiovascular diseases such as stroke and heartfailure. READ MORE

  5. 44. 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. 45. Assessing changes in the utilization of rivaroxaban in patients with atherosclerotic cardiovascular disease following the COMPASS RCT

    University essay from Uppsala universitet/Institutionen för farmaci

    Author : Allan Salih; [2022]
    Keywords : ;

    Abstract : .... READ MORE