- document
-
Kraaijeveld, Michael (author)Atrial Fibrillation or AF is the most common heart rhythm anomaly affecting millions of people. This work explores the possibilities of reinterpreting speech processing techniques for use in atrial fibrillation detection. An existing method of modelling single heartbeat, single lead ECG signals by means of an ARMA model's amplitude response as a...master thesis 2024
- document
-
Wang, Chengyan (author)Atrial fibrillation (AF) is one of the most common heart diseases. Billions of people have suffered from it in the world. Although it can lead to terrible complications such as stroke and heart failure, the underlying mechanisms of it are still under-explored. Besides, there is no so-called optimal therapy for the patients. As the disease is...master thesis 2023
- document
-
Graell Collado, Anna (author)Ensuring reliable and safe performance of medical devices in healthcare institutions is crucial for the wellbeing of patients. For this, physiological simulators may be used, which provide reference signals to compare against. The usage of physiological simulators, such as ECG simulators, as medical device testers is widely extended in high...master thesis 2023
- document
-
Dong, Yingzhou (author)Cardiovascular diseases (CVDs) are the top cause of death worldwide, and their diagnosis can be quickly and painlessly achieved through Electrocardiogram (ECG). The diagnosis of electrocardiogram has gradually evolved from manual diagnosis by doctors to one that can be realized using Artificial Intelligence (AI). Early AI still required manual...master thesis 2023
- document
-
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
- document
-
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
- document
-
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
- document
-
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
- document
-
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
- document
-
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
- document
-
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
- document
-
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
- document
-
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
- document
-
Kolağasioğlu, Eralp (author)Cardiovascular diseases are the leading cause of death in the devel- oped world. Preventing these deaths, require long term monitoring and manual inspection of ECG signals, which is a very time consum- ing process. Consequently, a wearable system that can automatically categorize beats is essential.<br/>Neuromorphic machines have been introduced...master thesis 2018
- document
-
Steijlen, A. (author)This master thesis presents the development of a 12-lead electrocardiographic system for home use. The project focusses on the product design aspects of this system. By doing thorough context and user research it is aimed to an accessible product service system for the patient as well as the healthcare professional. Two cardiologists from the...master thesis 2017
- document
-
Rout, S. (author)With the bandwidth of the ECG signal extending from sub-Hz to 200 Hz, a major challenge for an ECG readout system lies in implementing the high-pass (HP) cut-off frequency as this translates into the realization of large time constants on-chip.Although techniques such as those based on the use of pseudo-resistors to obtain very large time...master thesis 2016
- document
-
Lin, Q. (author)This thesis presents a low-power low-noise instrumentation amplifier designed to be implemented in 40 nm CMOS technology and operating from a 0.6 V supply, intended for use in electrocardiogram (ECG) and bio-impedance (BioZ) signal acquisition. This instrumentation amplifier has one ECG channel, one BioZ channel and allows both signals to be...master thesis 2016
- document
-
Fan, D. (author)The aim of the project is to develop an ECG signal compression algorithm that has a high compression ratio while guaranteeing signal quality. An electrocardiography (ECG) signal is a representation of cardiac activity and has an need to be compressed to reduce data storage requirements and energy cost of transmission. Previous ECG signal...master thesis 2014
- document
-
Mohan, R. (author)Cardiovascular diseases are leading cause of deaths worldwide. With increasing graying population and limited health infrastructure there is a need for portable and implantable ECG devices to diagnose these diseases early on. In general an ECG device requires three or more electrodes, which need to be applied to the body via a gel, to obtain a...master thesis 2011
- document
-
Berset, T. (author)MATLAB is a popular very-high-level-language used for visualizing, prototyping and perform- ing design-space exploration of algorithms. But, this flexibility comes at the price of high memory consumption and slow execution times, making it unsuitable for use in an embedded system. The possibility of using Embedded MATLAB (EML), a small subset of...master thesis 2011