Essays about: "elektrokardiogram"

Showing result 1 - 5 of 10 essays containing the word elektrokardiogram.

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. 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

4. 3. 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

5. 4. Classifying Heart Rate Variability Data using Multitaper Spectrum Analysis

   University essay from Lunds universitet/Matematisk statistik

   Author : Heidi Mach; [2021]
   Keywords : Mathematics and Statistics;

   Abstract : Heart rate variability (HRV) is the variation between two consecutive heartbeats. The irregular variability in this interval can indicate different health issues such as stress. The goal of this project is to correctly classify if a HRV signal comes from a resting state or a state which is affected by stress related stimuli. READ MORE

6. 5. Exploring attribution methods explaining atrial fibrillation predictions from sinus ECGs : Attributions in Scale, Time and Frequency

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

   Author : Svante Sörberg; [2021]
   Keywords : Explainable Artificial Intelligence XAI ; Explainability; Paroxysmal Atrial Fibrillation; Feature Attribution; Förklaringsbar Artificiell Intelligens; Förklarbarhet; Paroxysmalt Förmaksflimmer; Särdragsattribution;

   Abstract : Deep Learning models are ubiquitous in machine learning. They offer state-of- the-art performance on tasks ranging from natural language processing to image classification. The drawback of these complex models is their black box nature. It is difficult for the end-user to understand how a model arrives at its prediction from the input. READ MORE