Essays about: "Electrocardiogram ECG analysis"

Showing result 1 - 5 of 14 essays containing the words Electrocardiogram ECG analysis.

  1. 1. Straight to the Heart : Classification of Multi-Channel ECG-signals using MiniROCKET

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Stefan Christiansson; [2023]
    Keywords : MiniROCKET; Time-series analysis; Multi-variate; Classification; Convolutional Neural Network; MiniROCKET; Tidsserieanalys; Multivariat; Klassifikation; Convolutional Neural Network;

    Abstract : 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. READ MORE

  3. 2. Association of a Wristband PPG and an ECG Sensor - Analysis, Synchronization and Robustness

    University essay from Lunds universitet/Avdelningen för Biomedicinsk teknik

    Author : Mattéo Hochart; [2023]
    Keywords : Technology and Engineering;

    Abstract : 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. READ MORE

  4. 3. Heart Rate Measurement using a 60 GHz Pulsed Coherent Radar Sensor

    University essay from Lunds universitet/Avdelningen för Biomedicinsk teknik

    Author : Melina Al Nasser; Linn Gromert; [2022]
    Keywords : Signal processing; EKG; Heart rate; Radar sensor; Neural network; Acconeer; Technology and Engineering;

    Abstract : 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. READ MORE

  5. 4. 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

  6. 5. Transfer learning applied to a deep learning system for cardiac abnormality classification in electrocardiograms

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Adrian Campoy Rodriguez; [2022]
    Keywords : Deep Learning; ECG; Wavelet Transform; Scattering Transform; Transfer Learning; Canonical Correlation Analysis; Djupinlärning; EKG; wavelettransform; scatteringtransform; överföringsinlärning; kanonisk korrelationsanalys;

    Abstract : 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. READ MORE