Essays about: "ECG"
Showing result 1 - 5 of 114 essays containing the word ECG.
-
1. Finding the QRS Complex in a Sampled ECG Signal Using AI Methods
University essay from KTH/FysikAbstract : 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). READ MORE
-
2. Self-supervised representation learning from electrocardiogram data for medical applications
University essay from Lunds universitet/Matematik LTHAbstract : 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. Estimation of respiratory frequency from Heart Rate Variability
University essay from Lunds universitet/Matematisk statistikAbstract : 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. READ MORE
-
4. Detection of Abnormalities in Cardiac Rhythm Using Spiking Neural Networks
University essay from Lunds universitet/Institutionen för elektro- och informationsteknikAbstract : 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
-
5. Detection of driver sleepiness during daylight and darkness
University essay from Linköpings universitet/Institutionen för medicinsk teknikAbstract : 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. READ MORE