Searched for: subject%3A%22ECG%22
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van den Bos, Sjoerd (author)
Electrocardiography is the craft of producing electrocardiograms. These graphs give physicians insight into the potential pathology of the heart. In order to come to a diagnosis, physicians use electrocardiograms in combination with follow-up physical examinations. There has been extensive research into automated methods that can differentiate...
master thesis 2022
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Custers, Geert (author), Loen, Stefan (author)
This report is part of the WiECG project. The goal of the WiECG project is to create a prototype device that makes it possible to perform a 12-lead ECG on patients without wires from a patient to the monitor. The solution consists of a transmitter and receiver of which one is close or on the patients body and the other is connected to a monitor....
bachelor thesis 2022
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Wesselius, F.J. (author), van Schie, M.S. (author), de Groot, N.M.S. (author), Hendriks, R.C. (author)
Background: An increasing number of wearables are capable of measuring electrocardiograms (ECGs), which may help in early detection of atrial fibrillation (AF). Therefore, many studies focus on automated detection of AF in ECGs. A major obstacle is the required amount of manually labelled data. This study aimed to provide an efficient and...
journal article 2022
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He, X. (author), Stapel, J.C.J. (author), Wang, M. (author), Happee, R. (author)
Perceived risk and trust are crucial for user acceptance of driving automation. In this study, we identify important predictors of perceived risk and trust in a driving simulator experiment and develop models through stepwise regression to predict event-based changes in perceived risk and trust. 25 participants were tasked to monitor SAE...
journal article 2022
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Dash, Sudeshna (author)
Cardiac arrhythmia characterized by irregular heartbeats is a prevalent problem among people suffering from cardiovascular diseases (CVD). Abnormalities in the heartbeats manifested in the electrocardiogram (ECG) signal are traditionally analysed by expert cardiologists or semi-automated computer aided techniques, which can be time consuming....
master thesis 2021
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Stam, Mariëlle (author)
Deep brain stimulation (DBS) is used to treat a variety of movement disorders. In current DBS therapy, the stimulation parameters are manually adjusted based on a subjective assessment of patient’s symptoms. State-of-the-art DBS research focuses on recording brain activity to create a patient-specific neuronal profile that correlates with the...
master thesis 2021
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Kohabir, Amar (author), Smit, Alex (author)
When symptoms of atrial fibrillation (AF), a common cardiac arrhythmia, are experienced, a Holter monitor or event recorder is used for official diagnosis. Apart from the fact that these devices are experienced as inconvenient, AF can already manifest damage in a pre-symptomatic phase. This thesis is aimed at developing a method for recording...
bachelor thesis 2021
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Vandecasteele, Kaat (author), De Cooman, Thomas (author), Chatzichristos, Christos (author), Cleeren, Evy (author), Swinnen, Lauren (author), Ortiz, Jaiver Macea (author), Van Huffel, Sabine (author), Dümpelmann, Matthias (author), Schulze- Bonhage, Andreas (author), De Vos, Maarten (author), Van Paesschen, Wim (author), Hunyadi, B. (author)
Objective: Wearable seizure detection devices could provide more reliable seizure documentation outside the hospital compared to seizure self-reporting by patients, which is the current standard. Previously, during the SeizeIT1 project, we studied seizure detection based on behind-the-ear electroencephalography (EEG). However, the obtained...
journal article 2021
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Simha, A. (author), Sharma, S. (author), Narayana, S. (author), Venkatesha Prasad, Ranga Rao (author)
Electrocardiogram (ECG) is an important health monitoring signal that is used in various medical diagnosis, especially identifying potential possibility of heart attacks and strokes. Moreover, many patients are in remote places and in many countries the patients to doctors ration is very poor which calls for a miniature hardware that remotely...
conference paper 2021
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Jonkman, Annemijn H. (author), Juffermans, Ricardo (author), Doorduin, Jonne (author), Heunks, Leo M.A. (author), Harlaar, J. (author)
The accuracy of diaphragm electromyogram (EMGdi) derived parameters, as used in critically ill intensive care unit (ICU) patients, can be compromised due to electrocardiographic (ECG) interference in the EMGdi signal. Removal of ECG contamination from the esophageal recordings of the EMGdi is challenging due to spectral overlapping of EMG and...
journal article 2021
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Wesselius, F.J. (author), van Schie, M.S. (author), de Groot, N.M.S. (author), Hendriks, R.C. (author)
Aims: Automated detection of atrial fibrillation (AF) in continuous rhythm registrations is essential in order to prevent complications and optimize treatment of AF. Many algorithms have been developed to detect AF in surface electrocardiograms (ECGs) during the past few years. The aim of this systematic review is to gain more insight into...
review 2021
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Yin, Yuchen (author)
This thesis focuses on classifying AF and Normal rhythm ECG recordings. AF is a common arrhythmia occurring in millions of people every year, which could lead to blood clots, stroke or even heart failure. When AF is occurring, the P waves are often absent and RR intervals are often irregular. <br/><br/>This thesis proposes a new Poincaré plot...
master thesis 2020
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Meijer, I.D. (author), Morssink, B.J.C. (author)
There are many different studies that try to use physiological features to determine stress. But there exists a lot of uncertainty about which physiological signals and features are the best classifiers and a lot of discrepancies in classification accuracies exist. This study proposes a novel method for the detection of stress. This method contains...
bachelor thesis 2020
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Kuruoğlu, T. (author), Kinaci, E. (author)
The main purpose of this thesis is the removal of different kinds of artifacts from incoming signals and the identification of relevant information which can be utilized for further analysis. This thesis proposes two designs which are used for the pre-processing of the electrocardiogram (ECG) signal and the respiratory signal. The ECG signal...
bachelor thesis 2020
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Henstra, Joris (author), Jansen, Pim (author)
Many people worldwide suffer from epileptic seizures and not all of them can be prevented using medicines, this thesis is being done for seizure prevention. This is based on implementing a medical body area network (MBAN) that takes sensory recordings across the whole body. This is needed as the research group that proposes this project found...
bachelor thesis 2020
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Stuldreher, Ivo (author)
Monitoring selectively directed auditory attention in groups can be helpful in a range of contexts, such as in education. In real-world settings, selectively directed attention cannot be monitored by relating physiological signals to known event markers. Determining the similarity of physiological responses across individuals in a group (i.e.,...
master thesis 2019
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Lie Hok Lien, Kenny (author)
Self-driving cars is considered the next major step in the automotive industry and with automation in passenger vehicles, the driver can benefit from the freed up time for leisure or work, as he or she becomes the passenger. However, this is only possible if the drivers are comfortable during automated driving. The major issue here, is that the...
master thesis 2019
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Wang, Yuyang (author)
Wearable health has become a striking area in our daily life.<br/>Electrocardiogram (ECG) is one of the biomedical signals collected by the wearable or portable devices, which is widely used in heart rate monitoring and cardiac diagnosis. However, automatic ECG signal analysis is difficult in real application because the signals are easy to be...
master thesis 2018
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Mes, Johan (author)
The Self-Organizing Map (SOM) is an unsupervised neural networktopology that incorporates competitive learning for the classicationof data. In this thesis we investigate the design space of a system incorporating such a topology based on Spiking Neural Networks (SNNs), and apply it to classifying electrocardiogram (ECG) beats. We present novel...
master thesis 2018
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Bisht, Anirudh (author)
ECG signals captured almost always have motion artefact noise. This noise arises due to relative motion between the ECG electrode and skin. To remove this noise a reference signal is required that correlates to the noise. This thesis presents the design and test results of a prototype system that incorporates various motion sensors into an ECG...
master thesis 2018
Searched for: subject%3A%22ECG%22
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