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Relevant bibliographies by topics / Physiological signal processing / Dissertations / Theses

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Dissertations / Theses on the topic 'Physiological signal processing'

Author: Grafiati

Published: 8 February 2025

Last updated: 25 July 2025

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1

Ebden, Mark. "Predicting orthostatic vasovagal syncope with signal processing and physiological modelling." Thesis, University of Oxford, 2006. http://ora.ox.ac.uk/objects/uuid:f6e4b491-76b4-4f99-b95d-cae30fa704f5.

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Orthostatic vasovagal syncope is the sudden loss of consciousness resulting from a temporary impairment of cerebral blood flow, within approximately an hour of standing. Patients who suffer from this problem have "vasovagal syndrome". The purpose of this thesis was to devise a method to detect the syndrome following the assumption of upright position. Data from 106 syncopal patients undergoing head-up tilt table testing (HUT) were acquired, including electrical activity of the heart (electrocardiogram), blood pressure, oxygen saturation, and cerebral perfusion parameters from near-infrared spe

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2

Belle, Ashwin. "A Physiological Signal Processing System for Optimal Engagement and Attention Detection." VCU Scholars Compass, 2012. http://scholarscompass.vcu.edu/etd/394.

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In today’s high paced, hi-tech and high stress environment, with extended work hours, long to-do lists and neglected personal health, sleep deprivation has become common in modern culture. Coupled with these factors is the inherent repetitious and tedious nature of certain occupations and daily routines, which all add up to an undesirable fluctuation in individuals’ cognitive attention and capacity. Given certain critical professions, a momentary or prolonged lapse in attention level can be catastrophic and sometimes deadly. This research proposes to develop a real-time monitoring system wh

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3

Brennan, Thomas Patrick. "Signal processing methods for characterisation of ventricular repolarisation using the surface electrocardiogram." Thesis, University of Oxford, 2009. http://ora.ox.ac.uk/objects/uuid:39ae285a-b8dd-4aae-b60e-36f95fb84f37.

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This thesis investigates the mechanisms underlying drug-induced arrhythmia and pro- poses a new approach for the automated analysis of the electrocardiogram (ECG). The current method of assessing the cardiac safety of new drugs in clinical trials is by the measurement and analysis of the QT interval. However, the sensitivity and specificity of the QT interval has been questioned and alternative biomarkers based on T-wave mor- phology have been proposed in the literature. The mechanisms underlying drug effects on T-wave morphology are not clearly understood. Therefore, a combined approach of fo

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4

Vartak, Aniket. "BIOSIGNAL PROCESSING CHALLENGES IN EMOTION RECOGNITIONFOR ADAPTIVE LEARNING." Doctoral diss., University of Central Florida, 2010. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/2667.

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User-centered computer based learning is an emerging field of interdisciplinary research. Research in diverse areas such as psychology, computer science, neuroscience and signal processing is making contributions the promise to take this field to the next level. Learning systems built using contributions from these fields could be used in actual training and education instead of just laboratory proof-of-concept. One of the important advances in this research is the detection and assessment of the cognitive and emotional state of the learner using such systems. This capability moves development

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5

Bsoul, Abed Al-Raoof. "PROCESSING AND CLASSIFICATION OF PHYSIOLOGICAL SIGNALS USING WAVELET TRANSFORM AND MACHINE LEARNING ALGORITHMS." VCU Scholars Compass, 2011. http://scholarscompass.vcu.edu/etd/258.

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Over the last century, physiological signals have been broadly analyzed and processed not only to assess the function of the human physiology, but also to better diagnose illnesses or injuries and provide treatment options for patients. In particular, Electrocardiogram (ECG), blood pressure (BP) and impedance are among the most important biomedical signals processed and analyzed. The majority of studies that utilize these signals attempt to diagnose important irregularities such as arrhythmia or blood loss by processing one of these signals. However, the relationship between them is not yet fu

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6

Ghaffari, Ghazaleh. "Estimation of Stapedius-Muscle Activation using Ear Canal Absorbance Measurements : An Application of Signal Processing in Physiological Acoustics." Thesis, Linköpings universitet, Institutionen för medicinsk teknik, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-98992.

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The stapedius muscle, which is located in the middle ear, goes into contraction when the ear is exposed to high sound intensities. This muscle activation is called ‘the acoustic reflex’. Measurement of the acoustic reflex is clinically of importance since it can reveal diagnostic information about the middle ear’s pathologies. Moreover, this muscle-activation alters the acoustic characteristics of the middle ear (i.e. the acoustic impedance and the power reflectance), which in turn, can significantly manipulate one’s perception of sounds. In the present study, these acoustic characteristics ar

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7

Koskinen, M. (Miika). "Automatic assessment of functional suppression of the central nervous system due to propofol anesthetic infusion:from EEG phenomena to a quantitative index." Doctoral thesis, University of Oulu, 2006. http://urn.fi/urn:isbn:9514281756.

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Abstract The rationale for automatically monitoring anesthetic drug effects on the central nervous system (CNS) is to improve possibilities to gain objective information on a patient's state and to adjust the medication individually. Although monitors have shown their usefulness in practice, there are still a number of unclear issues, especially with respect to the scientific foundations and validity of CNS monitoring techniques, and in monitoring the light hypnotic levels. Current monitors are, for example, often based on heuristics and ad hoc solutions. However, a quantitative index for anes

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8

Creemers, Warren. "On the Recognition of Emotion from Physiological Data." Thesis, Edith Cowan University, Research Online, Perth, Western Australia, 2013. https://ro.ecu.edu.au/theses/680.

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This work encompasses several objectives, but is primarily concerned with an experiment where 33 participants were shown 32 slides in order to create ‗weakly induced emotions‘. Recordings of the participants‘ physiological state were taken as well as a self report of their emotional state. We then used an assortment of classifiers to predict emotional state from the recorded physiological signals, a process known as Physiological Pattern Recognition (PPR). We investigated techniques for recording, processing and extracting features from six different physiological signals: Electrocardiogram (E

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9

Keelan, Oliver, and Henrik Mårtensson. "Feature Engineering and Machine Learning for Driver Sleepiness Detection." Thesis, Linköpings universitet, Institutionen för medicinsk teknik, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-142001.

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Falling asleep while operating a moving vehicle is a contributing factor to the statistics of road related accidents. It has been estimated that 20% of all accidents where a vehicle has been involved are due to sleepiness behind the wheel. To prevent accidents and to save lives are of uttermost importance. In this thesis, given the world’s largest dataset of driver participants, two methods of evaluating driver sleepiness have been evaluated. The first method was based on the creation of epochs from lane departures and KSS, whilst the second method was based solely on the creation of epochs ba

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10

Ojeda, Avellaneda David. "Multi-resolution physiological modeling for the analysis of cardiovascular pathologies." Phd thesis, Université Rennes 1, 2013. http://tel.archives-ouvertes.fr/tel-01056825.

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This thesis presents three main contributions in the context of modeling and simulation of physiological systems. The first one is a formalization of the methodology involved in multi-formalism and multi-resolution modeling. The second one is the presentation and improvement of a modeling and simulation framework integrating a range of tools that help the definition, analysis, usage and sharing of complex mathematical models. The third contribution is the application of this modeling framework to improve diagnostic and therapeutic strategies for clinical applications involving the cardiovascul

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11

Chen, Meng. "Massive data processing and explainable machine learning in neonatal intensive care units." Electronic Thesis or Diss., Université de Rennes (2023-....), 2024. http://www.theses.fr/2024URENS063.

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Les nouveaux-nés prématurés sont vulnérables à des complications comme l’hyperbilirubinémie néonatale et le sepsis tardif (LOS), posant des défis importants dans les unités de soins intensifs néonatals (USIN). Malgré les avancées en matière de soins, la détection précoce et la gestion efficace de ces affections restent complexes. Cette thèse, basée sur l’étude CARESS-Premi (NCT01611740), vise à développer des techniques avancées de traitement des données et des modèles interprétables d’apprentissage automatique afin d’améliorer la prise de décision en USIN, via des systèmes de surveillance non

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12

Cathelain, Guillaume. "Ballistocardiographie et applications." Thesis, Université Paris sciences et lettres, 2020. http://www.theses.fr/2020UPSLP029.

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À l’échelle mondiale, les systèmes de santé ont des coûts croissants et le nombre d’hospitalisations augmente. La télémédecine permet de ramener l’hôpital à la maison et offre aux structures de santé de nouvelles possibilités d’améliorer le parcours de soins des patients. La surveillance physiologique est une condition préalable à l’efficacité des systèmes de télémédecine et est assurée par des dispositifs médicaux connectés qui ne sont pas entièrement automatisés. Les patients doivent les utiliser activement au quotidien : ces inconvénients entraînent soit un désengagement du patient, soit du

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13

Renjifo, Carlos A. "Exploration, processing and visualization of physiological signals from the ICU." Thesis, Massachusetts Institute of Technology, 2005. http://hdl.handle.net/1721.1/33350.

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Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2005.<br>Includes bibliographical references (p. 119-120).<br>This report studies physiological signals measured from patients in the Intensive Care Unit (ICU). The signals explored include heart rate, arterial blood pressure, pulmonary artery pressure, and central venous pressure measurements. Following an introduction to these signals, several methods are proposed for visualizing the data using time and frequency domain techniques. By way of a patient case study we motivate a novel

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14

Hult, Peter. "Bioacoustic principles used in monitoring and diagnostic applications /." Linköping : Univ, 2002. http://www.bibl.liu.se/liupubl/disp/disp2002/tek778s.pdf.

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15

Huang, Yin-Cheng, and 黃銀政. "Research of Real-time Signal Processing for 24Hrs Physiological Measurement Systems." Thesis, 2013. http://ndltd.ncl.edu.tw/handle/02090355021654750347.

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碩士<br>亞東技術學院<br>資訊與通訊工程研究所<br>101<br>With the aging population structure, cardiovascular disease is now second among the ten major causes of death, based on a national health survey. A good home health care system can substantially reduce the huge social burden and provide the security obtained from preventive care measures. Previous electrocardiogram (ECG) measurement is done in statistic state with the patients lying still on the bed. However, physiological signal itself possesses significant discreteness, thus it may change greatly if the body system of patient is in a certain state. For so

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16

Yang, Shi-Ning, and 楊師寧. "Physiological Signal Processing of One Talented Subject under Finger-Reading Situations." Thesis, 2004. http://ndltd.ncl.edu.tw/handle/86400948102268753563.

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碩士<br>國立臺灣大學<br>電機工程學研究所<br>92<br>It has been more than 20 years for the research of psychic phenomena in Asia. The abundant data have already proved the existence of the extraordinary human ability and the possibility to train the psychic power for ordinary persons. In this research, the physiological response of one talented subject who has the greatest gift for finger-reading ability had been measured under finger-reading situations. After analyzing the physiological data of EEG, the onset of brain screen, and skin potential, it is concluded that the rise in skin potential occurred approx

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17

Dai, Yang-Che, and 戴揚哲. "Implementation of Real-Time Physiological Signal Processing chip with FPGA for Heart Rate Variability." Thesis, 2013. http://ndltd.ncl.edu.tw/handle/15397750341326500338.

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碩士<br>中原大學<br>生物醫學工程研究所<br>102<br>Biosignal can provide a lot of usefully physiological information to help the medical professionals to diagnose and identify variant diseases. However, deriving characteristics of these diseases from obtained biosignals need to calculate and signal process. Therefore, biosignal processing can be used to derive these characteristics of biosignal not only in time-domain analysis, but also in frequency-domain analysis. Such as HRV power spectrum density can provide important information for regulatory mechanisms of autonomic nervous system, and the EEG spectrum c

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18

LaMar, Michael Drew. "Human acoustics: from vocal chords to inner ear." Thesis, 2005. http://hdl.handle.net/2152/1600.

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19

Chen, PO-Chih, and 陳柏智. "The Design of a Physiological Signal Processing Circuit and its Applications in Human-Computer Interfaces." Thesis, 2010. http://ndltd.ncl.edu.tw/handle/78211582942208433511.

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碩士<br>國立中央大學<br>生物醫學工程研究所<br>98<br>This thesis presents a physiological signal processing circuit which can be used to measure many kinds of physiological signals. Based on this circuit, a 3-channel human-computer interface (HCI) system incorporated with a decision rule algorithm is implemented to measure vertical and horizontal eye movements, and alpha waves of brain signals. The 3-channel human-computer interface (HCI) system can be used in three different application domains. First of all, the system is utilized to be a computer interface for the disabled persons. The user can use his or he

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20

Wu, Han-Chang, and 吳漢章. "The Applications of Time-Frequency Analysis in Noninvasive Physiological Signal Processing and Portable Instrumentation Design." Thesis, 2002. http://ndltd.ncl.edu.tw/handle/66984842650354883600.

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博士<br>國立臺灣大學<br>電機工程學研究所<br>90<br>The major purpose of this dissertation is to investigate the theories of various time-frequency analysis (TFA) and its capabilities in representing noninvasive physiological signals. The applications of TFAs in cutaneous electrogastrography (EGG) measurement and otoacoustic emissions (OAE) are also demonstrated. Owing to the tiny, noisy and nonstationary characteristics of noninvasive physiological signals, conventional time- and frequency- domain based analysis are not adequate to extract all the information embedded within the original signals. TFAs can effe

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21

Li, Hsu-Feng, and 李旭峰. "Combination of Adaptive Threashold and Multiple Feature Recognition in PPG Physiological Signal Processing for Blood Pressure Estimation System." Thesis, 2018. http://ndltd.ncl.edu.tw/handle/tnaf8p.

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22

Wu, Chih-Chin, and 吳智欽. "A Wireless Photoplethysmography Signal Processing System Based on Recursive Least Squares Adaptive Filtering Algorithm for Multiple Physiological Parameters Detection." Thesis, 2017. http://ndltd.ncl.edu.tw/handle/338bkf.

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23

Hossain, Md Zakir. "I Can Feel You Are Smiling Happily: Distinguishing between Real and Posed Smiles from Observers' Peripheral Physiology." Phd thesis, 2018. http://hdl.handle.net/1885/163940.

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The ability to recognise facial expression is crucial to human social interaction and plays an integral part in most social interaction scenarios. Being able to understand genuine facial expressions is considered a valuable social skill. In this context, a smile is treated as a major facial display that can be recognised easily, but can be confusing. Genuine smiles are usually labelled as both showing and feeling happiness, but posed smiles are far less likely to be understood as feeling happiness than as showing happiness. Previous studies c

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24

Chen, I.-Wei, and 陳弈暐. "An Integrated Electrocardiography and Photoplethysmography Signal Processing System Based on Ensemble Empirical Mode Decomposition Method for Multimodal Physiological Data Monitoring." Thesis, 2018. http://ndltd.ncl.edu.tw/handle/yk4fna.

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25

Yadu, Gitika. "Understanding the physiological effect of a motivational song on the heart and the autonomic nervous system of male volunteers by ECG and RR interval signal processing and analysis." Thesis, 2018. http://ethesis.nitrkl.ac.in/9498/1/2018_MT_216BM1010_GYadu_Understanding.pdf.

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Listening to a song has been reported to evoke the emotion of the persons. In fact, it acts as a stimulus, which can initiate emotional memories in the person. Recent studies have suggested that the alteration in the emotions while listening tosong is also associated with a change in the physical state of the person. Listening to music has been reported to alter the physiological processes like promoting sleep, reduce anxiety, increase positive post-task attitude towards exercise and/or increase brain activities. The electrical activity of

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26

Kedia, Rahul, Dhananjay Jha, and Nipun Naveen Hembrom. "Wavelet Signal Processing of Physiologic Waveforms." Thesis, 2009. http://ethesis.nitrkl.ac.in/1135/1/WAVELET_SIGNAL_PROCESSING_OF_PHYSIOLOGIC_WAVEFORMS.pdf.

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The prime objective of this piece of work is to devise novel techniques for computer based classification of Electrocardiogram (ECG) arrhythmias with a focus on less computational time and better accuracy. As an initial stride in this direction, ECG beat classification is achieved by using feature extracting techniques to make a neural network (NN) system more effective. The feature extraction technique used is Wavelet Signal Processing. Coefficients from the discrete wavelet transform were used to represent

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27

"Monitoring Physiological Signals Using Camera." Doctoral diss., 2016. http://hdl.handle.net/2286/R.I.41236.

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abstract: Monitoring vital physiological signals, such as heart rate, blood pressure and breathing pattern, are basic requirements in the diagnosis and management of various diseases. Traditionally, these signals are measured only in hospital and clinical settings. An important recent trend is the development of portable devices for tracking these physiological signals non-invasively by using optical methods. These portable devices, when combined with cell phones, tablets or other mobile devices, provide a new opportunity for everyone to monitor one’s vital signs out of clinic. This thesis wo

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28

Raghavendra, Bobbi S. "Nonlinear Processing Of EEG and HRV Signals For The Study Of Physiological And Pathological States." Thesis, 2010. https://etd.iisc.ac.in/handle/2005/1975.

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Physiological signals, electroencephalogram (EEG) and heart rate variability (HRV), are generated by complex self-regulating systems. These signals are extremely inhomogeneous and nonstationary, and fluctuate in an irregular and highly complex manner. These fluctuations are due to underlying dynamics of the system. The synchronous neural activity measured as scalp EEG indicates underlying neural dynamics of the brain. Hence, quantitative EEG analysis has become a very useful tool in interpreting results from physiological experiments. The analysis of HRV provides valuable information to assess

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Raghavendra, Bobbi S. "Nonlinear Processing Of EEG and HRV Signals For The Study Of Physiological And Pathological States." Thesis, 2010. http://etd.iisc.ernet.in/handle/2005/1975.

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Physiological signals, electroencephalogram (EEG) and heart rate variability (HRV), are generated by complex self-regulating systems. These signals are extremely inhomogeneous and nonstationary, and fluctuate in an irregular and highly complex manner. These fluctuations are due to underlying dynamics of the system. The synchronous neural activity measured as scalp EEG indicates underlying neural dynamics of the brain. Hence, quantitative EEG analysis has become a very useful tool in interpreting results from physiological experiments. The analysis of HRV provides valuable information to assess

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30

Beale, Michael P. "New Approaches to Analyze Sound Barrier Effectiveness." 2012. http://hdl.handle.net/1805/3240.

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Indiana University-Purdue University Indianapolis (IUPUI)<br>Highway noise can cause annoyance, affect sleep patterns, and reduce the property value for people in the proximity. Current methods for analyzing the effectiveness of sound barriers only take loudness into consideration. This paper introduces new methods that can be used to analyze the effectiveness of the sound barriers. Our approach uses psychoacoustic measures including sharpness, roughness, fluctuation, strength, and annoyance. Highway noise is non-stationary, therefore each of these metrics are calculated over a short time. Fin

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31

Liao, Jia-Ju, and 廖家駒. "An Effective Photoplethysmography Signals Processing System Based on Ensemble Empirical Mode Decomposition Method for Acquiring the Multiple Physiological Parameters." Thesis, 2015. http://ndltd.ncl.edu.tw/handle/a5wbqb.

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碩士<br>國立交通大學<br>電子工程學系電子研究所<br>104<br>The heavily medical burden caused by population ageing will become a serious challenge for the current and next generation medical care system. There is an urgent need of low-cost disease prevention and home care programs to lower the possible medical burden in the future. The cardiovascular diseases have been on the list of leading cause of death for years in Taiwan. There is about seventeen million people pass away because of cardiovascular around the world. There is urgent need to get the early prevention tool to reduce the risk of cardiovascular disea

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32

Sempsrott, David Robert. "Analysis of the Bioelectric Impedance of the Tissue-Electrode Interface Using a Novel Full-Spectrum Approach." Thesis, 2014. http://hdl.handle.net/1805/3836.

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Indiana University-Purdue University Indianapolis (IUPUI)<br>Non-invasive surface recording of bioelectric potentials continues to be an essential tool in a variety of research and medical diagnostic procedures. However, the integrity of these recordings, and hence the reliability of subsequent analysis, diagnosis, or recommendations based on the recordings, can be significantly compromised when various types of noise are allowed to penetrate the recording circuit and contaminate the signals. In particular, for bioelectric phenomena in which the amplitude of the biosignal is relatively low, su

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33

Li, Pin. "Effects of carbon nanotubes on airway epithelial cells and model lipid bilayers : proteomic and biophysical studies." Thesis, 2014. http://hdl.handle.net/1805/5968.

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Indiana University-Purdue University Indianapolis (IUPUI)<br>Carbon nanomaterials are widely produced and used in industry, medicine and scientific research. To examine the impact of exposure to nanoparticles on human health, the human airway epithelial cell line, Calu-3, was used to evaluate changes in the cellular proteome that could account for alterations in cellular function of airway epithelia after 24 h exposure to 10 μg/mL and 100 ng/mL of two common carbon nanoparticles, singleand multi-wall carbon nanotubes (SWCNT, MWCNT). After exposure to the nanoparticles, label-free quantitative

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