Sökning: "ECG"

Visar resultat 1 - 5 av 156 uppsatser innehållade ordet ECG.

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

   Master-uppsats, KTH/Fysik

   Författare :Jeanette Marie Victoria Skeppland Hole; [2023]
   Nyckelord :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;

   Sammanfattning : 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). LÄS MER

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

   Master-uppsats, Lunds universitet/Matematik LTH

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

   Sammanfattning : 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. LÄS MER

4. 3. Estimation of respiratory frequency from Heart Rate Variability

   Master-uppsats, Lunds universitet/Matematisk statistik

   Författare :Daniel Ågärd; [2023]
   Nyckelord :time-frequency analysis; multitaper spectrogram; Optimization; signal processing; heart rate variability; Mathematics and Statistics;

   Sammanfattning : In this master's thesis the ability to estimate the respiratory frequency from heart rate variability measurement is analyzed. The goal was to implement a solution that is easily transferable to real time. LÄS MER

5. 4. Detection of Abnormalities in Cardiac Rhythm Using Spiking Neural Networks

   Master-uppsats, Lunds universitet/Institutionen för elektro- och informationsteknik

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

   Sammanfattning : 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. LÄS MER

7. 5. Detection of driver sleepiness during daylight and darkness

   Master-uppsats, Linköpings universitet/Institutionen för medicinsk teknik

   Författare :Johanna Eklind; Amanda Meyerson; [2023]
   Nyckelord :Driver sleepiness; daylight; darkness; driving simulator study; ecg; eog; signal processing; exploratory analysis; statistical analysis; ANOVA; biomedical engineering;

   Sammanfattning : Driving sleepiness is a serious problem worldwide. It is of interest to develop reliable sleepiness detection systems to implement in vehicles, and for such a system both physi-ological data and driver performance data can be used. LÄS MER