Essays about: "Electrocardiogram ECG"

Showing result 1 - 5 of 45 essays containing the words Electrocardiogram ECG.

  1. 1. Self-supervised representation learning from electrocardiogram data for medical applications

    University essay from Lunds universitet/Matematik LTH

    Author : Matilda Andersson; [2023]
    Keywords : Self-supervised learning; Deep learning; Cardiovascular disease; Electrocardiogram; ECG; SimCLR; BYOL; VICReg; Mathematics and Statistics;

    Abstract : Cardiovascular diseases are the leading cause of death worldwide, increasing yearly. However, many abnormalities in heart cycles can be discovered and treated years before the onset of diseases. But in most societies, regular health checkups are a concept reserved for cars, not humans. READ MORE

  3. 2. Detection of Abnormalities in Cardiac Rhythm Using Spiking Neural Networks

    University essay from Lunds universitet/Institutionen för elektro- och informationsteknik

    Author : Dorsa Mohammad; [2023]
    Keywords : Artificial Intelligence AI ; Machine Learning ML ; Spiking Neural Network SNN ; Artificial Neural Networks; Healthcare devices; Electrocardiogram ECG ; Neuromorphic computing.; Technology and Engineering;

    Abstract : Artificial Intelligence (AI) and Machine Learning (ML) have been increasingly attracting attentions in many different fields. Healthcare is one of the areas that has greatly benefited from the advances in AI/ML. READ MORE

  4. 3. 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

  5. 4. Predicting and classifying atrial fibrillation from ECG recordings using machine learning

    University essay from Uppsala universitet/Institutionen för biologisk grundutbildning

    Author : Carl Bogstedt; [2023]
    Keywords : Bioinformatics; Machine Learning; Electrocardiogram; Classification; Rough Sets; XGBoost; Atrial Fibrillation;

    Abstract : Atrial fibrillation is one of the most common types of heart arrhythmias, which can cause irregular, weak and fast atrial contractions up to 600 beats per minute. Atrial fibrillation has increased prevalence with age and is associated with increased risks of ischemia, as blood clots can form due to the weak contractions. READ MORE

  6. 5. 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