Searched for: contributor%3A%22Hunyadi%2C+Borbala+%28mentor%29%22
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Yu, Zhuangzhuang (author)
Background &amp; Objective<br/>Cardiovascular diseases (CVDs) are the leading cause for death globally nowadays. Pulse wave velocity (PWV), a marker of arterial stiffness, is an important predictor of CVD risk. In precedent work, carotid artery data was collected with ultrasound to estimate the PWV with a digital signal processing (DSP) pipeline...
master thesis 2022
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Tao, Yitong (author)
To better understand how brain signals are processed and even how the human mind works, analyzing the hemodynamic signal model is one of the most essential steps. In the CUBE group of Erasmus MC, functional ultrasound (fUS) data of a mouse’s brain is recorded. By using this fUS dataset, this thesis will solve the problem regarding the joint...
master thesis 2022
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Cornejo Ramirez, Cesar Eduardo (author)
Background and Objectives: Wearable devices (WDs) capable of recording electrocardiograms (ECGs) for prolonged periods in ambulatory settings offer the possibility of detecting non-predictable events such as epileptic seizures and atrial fibrillation. Nevertheless, these systems suffer from additional noise sources, such as movement artifacts ...
master thesis 2022
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SHI, XIAONING (author)
With the development of machine learning techniques, more and more classification models have been designed for seizure detection. The creation of these models has dramatically improved the convenience of epilepsy detection and made seizure labeling automation possible. However, many of the current researches in this field use EEG datasets with...
master thesis 2022
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Zin, Gaia (author)
Epilepsy is one of the most common neurological disorders worldwide. Its manifestations, the seizures, are due to a group of neurons' abnormal and synchronous activity. The unpredictable nature of these events hinders the quality of life of those affected. In particular, focal seizures show a localized onset of the abnormal activity and are the...
master thesis 2021
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