Sökning: "Electrocardiogram ECG analysis"
Visar resultat 1 - 5 av 15 uppsatser innehållade orden Electrocardiogram ECG analysis.
1. Straight to the Heart : Classification of Multi-Channel ECG-signals using MiniROCKET
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Machine Learning (ML) has revolutionized various domains, with biomedicine standing out as a major beneficiary. In the realm of biomedicine, Convolutional Neural Networks (CNNs) have notably played a pivotal role since their inception, particularly in applications such as time-series classification. LÄS MER
2. Association of a Wristband PPG and an ECG Sensor - Analysis, Synchronization and Robustness
Master-uppsats, Lunds universitet/Avdelningen för Biomedicinsk teknikSammanfattning : Context: The CardioHolter, developed by Kaunas Institute of Technology, Lithuania, has been used in previous studies on cardiovascular behavior at the Department of Biomedical Engineering at Lund University. This equipment associates two finger photoplethysmography (PPG) sensors and an electrocardiogram (ECG) sensor. LÄS MER
3. Heart Rate Measurement using a 60 GHz Pulsed Coherent Radar Sensor
Master-uppsats, Lunds universitet/Avdelningen för Biomedicinsk teknikSammanfattning : Heart rate is today measured in various ways, but they all include contact with the skin. Measuring heart rate contactless would be a more efficient method in healthcare and would also benefit people suffering from skin problems. It has been proven that it is possible to use radar to measure heart rate. LÄS MER
4. Deep Learning-Based Risk Prediction of Atrial Fibrillation Using the 12-lead ECG
Master-uppsats, Uppsala universitet/Institutionen för informationsteknologiSammanfattning : 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. LÄS MER
5. Transfer learning applied to a deep learning system for cardiac abnormality classification in electrocardiograms
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Cardiovascular diseases are a leading cause of death globally. Early diagnosis and treatment is of prime importance to prevent or mitigate health complications. Electrocardiogram (ECG) is a standard test modality used for early diagnosis of arrhythmias. The standard ECG uses 12 leads (i. LÄS MER