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Showing result 1 - 5 of 27 essays matching the above criteria.

  1. 1. Finding the QRS Complex in a Sampled ECG Signal Using AI Methods

    University essay from KTH/Fysik

    Author : Jeanette Marie Victoria Skeppland Hole; [2023]
    Keywords : ECG; ECG-analysis; QRS detector; Artificial Intelligence; Machine Learning; Deep neural networks; Long short-term memory; Convolutional neural network; Multilayer perceptron; EKG; EKG-analys; QRS detektor; Artificiell intelligens; Maskininlärning; Djupa neurala nätverk; Long short-term memory; Convolutional neural network; Multilayer perceptron;

    Abstract : This study aimed to explore the application of artificial intelligence (AI) and machine learning (ML) techniques in implementing a QRS detector forambulatory electrocardiography (ECG) monitoring devices. Three ML models, namely long short-term memory (LSTM), convolutional neural network (CNN), and multilayer perceptron (MLP), were compared and evaluated using the MIT-BIH arrhythmia database (MITDB) and the MIT-BIH noise stress test database (NSTDB). READ MORE

  3. 2. Atrial fibrillation burden and the risk of all-cause mortality : A systematic review

    University essay from Örebro universitet/Institutionen för medicinska vetenskaper

    Author : Elliot Eriksson; Indra Wäringer; [2023]
    Keywords : ;

    Abstract : Background: Globally, atrial fibrillation (AF) is the most common cardiac arrhythmia. AF related complications include stroke, heart failure and death. AF burden, preferably defined as total time an individual is in AF during a specified monitoring period, is a term being mentioned more frequently. READ MORE

  4. 3. Neural Network Regularization for Generalized Heart Arrhythmia Classification

    University essay from Blekinge Tekniska Högskola/Institutionen för datavetenskap

    Author : Oliver Glandberger; Daniel Fredriksson; [2020]
    Keywords : Arrhythmia; Classification; Regularization; Scaleogram; TensorFlow; Arytmi; Klassificering; Regularisering; Spektrogram; TensorFlow;

    Abstract : Background: Arrhythmias are a collection of heart conditions that affect almost half of the world’s population and accounted for roughly 32.1% of all deaths in 2015. More importantly, early detection of arrhythmia through electrocardiogram analysis can prevent up to 90% of deaths. READ MORE

  5. 4. Användbarhet av AliveCor (KardiaMobile 1L) för EKG-registrering hos katt i hemmet : usefulness of AliveCor (KardiaMobile 1L) for ECG-registration in cats in their home enviroment

    University essay from SLU/Dept. of Clinical Sciences

    Author : Sandra Dahlström; [2020]
    Keywords : AliveCor; KardiaMobile 1L; Katt; EKG-registrering; hjärtrytm; hjärtfrekvens;

    Abstract : I en undersökningssituation i klinikmiljö har katter ofta en ökad hjärtfrekvens, eftersom de kan uppleva situationen stressande. Detta kan försvåra bedömningen av den kliniska statusen hos katten eftersom en förhöjd hjärtfrekvens dessutom kan indikera en mängd olika sjukdomstillstånd. READ MORE

  6. 5. ATRIAL FIBRILLATION AT KUMLA HEALTHCENTRE – ANTICOAGULANT TREATMENTAND SYMPTOMS

    University essay from Örebro universitet/Institutionen för medicinska vetenskaper

    Author : Adam Jackson; [2020]
    Keywords : ;

    Abstract : Background: Atrial fibrillation (AF) is the most common sustained arrhythmia affecting anestimated 3 % of the adult population in the western world. The prevalence of the diseaseincreases with increasing age, thought to be due to structural changes in the heart as a result ofageing, long-term hypertension, or organic heart disease. READ MORE