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Showing result 1 - 5 of 35 swedish dissertations matching the above criteria.

  2. 1. Quality Control in ECG-based Atrial Fibrillation Screening

    Author : Hesam Halvaei; Avdelningen för Biomedicinsk teknik; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; ECG; Signal Quality; Atrial fibrillation screening;

    Abstract : This thesis comprises an introductory chapter and four papers related to quality control in ECG-based atrial fibrillation (AF) screening. Atrial fibrillation is a cardiac arrhythmia characterized by an irregular rhythm and constitutes a major risk factor for stroke. READ MORE

  4. 2. Modelling and Quality Assessment of Atrial Fibrillatory Waves

    Author : Mikael Henriksson; Avdelningen för Biomedicinsk teknik; []
    Keywords : MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; ECG; signal processing; atrial fibrillation; signal quality; catheter ablation; atrial fibrillatory waves; f-waves;

    Abstract : This doctoral thesis revolves around the analysis of electrocardiogram (ECG) signals during atrial fibrillation (AF). Special emphasis is put on the atrial fibrillatory waves, sometimes called the f-waves, which is the ECG component reflecting the electrical activity of the atria. READ MORE

  5. 3. Cardiac muscle injury in children and experimental animals. Reflections in ECG, especially high-resolution electrocardiography

    Author : Rolf Bennhagen; Lund Pediatrik; []
    Keywords : MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; Pediatrics; Kardiovaskulära systemet; Cardiovascular system; signal-averaging ECG; ischaemia; cardiac transplantation; Pediatri;

    Abstract : Background and Methods: Signal-averaging ECG (SAECG), a bioelectrical processing method, is a further development of the conventional ECG. SAECG can detect voltage potentials in the microvolt range and provide a noise-reduced determination of QRS duration. Extended frequency spectra can be analysed. READ MORE

  6. 4. Analysis of Electrocardiograms Using Artificial Neural Networks

    Author : Bo Hedén; Lund Klinisk fysiologi; []
    Keywords : MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; tomography; radiology; Clinical physics; Lead reversal.; Myocardial infarction; Computer-assisted; Expert system; Electrocardiography; ECG-diagnosis; medical instrumentation; Klinisk fysiologi; radiologi; tomografi; medicinsk instrumentering;

    Abstract : Most conventional ECG interpretation programs use decision tree logic for interpretation of the ECG. The performance is generally good but can be improved. Artificial neural networks represent a new computer method, which has proved to be of value in pattern recognition and classification tasks. READ MORE

  7. 5. Proposing Combined Approaches to Remove ECG Artifacts from Surface EMG Signals

    Author : Sara Abbaspour; Maria Lindén; Urban Wiklund; Mälardalens högskola; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY;

    Abstract : Electromyography (EMG) is a tool routinely used for a variety of applications in a very large breadth of disciplines. However, this signal is inevitably contaminated by various artifacts originated from different sources. READ MORE