Sökning: "RR intervals"

Hittade 5 uppsatser innehållade orden RR intervals.

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

    Master-uppsats, Linköpings universitet/Statistik och maskininlärning

    Författare :priya kurian pullolickal; [2022]
    Nyckelord :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.;

    Sammanfattning : .... LÄS MER

  2. 2. Neurophysiological findings in Guillain-Barré syndrome at different stages, a retrospective study

    Uppsats för yrkesexamina på avancerad nivå,

    Författare :Maja Norling; [2021]
    Nyckelord :Polyradiculoneuropathy; Guillain-Barré syndrome; Heart rate variability; Electroneurography; Sympathetic skin response;

    Sammanfattning : Introduction: Guillain-Barré syndrome (GBS) is a neurological disease caused by an autoimmune attack on the peripheral nerves. The main symptoms are loss of motor and sensory skills in the upper and lower extremities. Autonomic dysfunction also occurs. LÄS MER

  3. 3. Human Age Prediction Based on Real and Simulated RR Intervals using Temporal Convolutional Neural Networks and Gaussian Processes

    Master-uppsats, Linköpings universitet/Statistik och maskininlärning

    Författare :Maximilian Pfundstein; [2020]
    Nyckelord :Statistics; Machine Learning; RR; RR intervals; ECG; Gaussian Processes; Health Care; Convolutional Neural Networks; Time Series; Data Simulation; Human Age Prediction;

    Sammanfattning : Electrocardiography (ECG) is a non-invasive method used in medicine to track the electrical pulses sent by the heart. The time between two subsequent electrical impulses and hence the heartbeat of a subject, is referred to as an RR interval. LÄS MER

  4. 4. Heart rate variability for driver sleepiness assessment

    Master-uppsats, Linköpings universitet/Institutionen för medicinsk teknik

    Författare :Anna Persson; [2019]
    Nyckelord :Heart rate variability; sleepiness; drowsiness; fatigue; driver sleepiness; Hjärtfrekvensvariabilitet; sömnighet; trötthet; bilförare;

    Sammanfattning : Studies have reported that around 20 % of all traffic accidents are caused by a sleepy driver. Sleepy driving has been compared to drunk driving. A sleepy driver is also an issue in the case of automated vehicles in the future. Handing back the control of the vehicle to a sleepy driver is a serious risk. LÄS MER

  5. 5. Modelling and robust estimation of AV node function during AF

    Master-uppsats, Lunds universitet/Avdelningen för Biomedicinsk teknik

    Författare :Gennaro Garoldi; Luca Iozzia; [2014]
    Nyckelord :Atrial Fibrillation AF ; atrioventricular node AV node ; Carvedilol; Diltiazem; dual pathways; Holter recordings; maximum likelihood estimation MLE ; minimum least squares MLS ; metoprolol; refractory period; RR intervals; statistical modeling; Verapamil.; Technology and Engineering;

    Sammanfattning : Objective: The purpose of the present thesis is to enrich the robustness of a statistical atrioventricular (AV) node model during atrial Fibrillation (AF). The model takes into account electrophysiological properties as the two pathways, their refractory periods and concealed conduction; these pathways are located between sinoatrial (SA) and AV node. LÄS MER