Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
Results
Showing 1 to 20 of 93 for “"physiological signals"”.
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Learning qualitative models from physiological signals
Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1994.
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Motion Artifact Processing Techniques for Physiological Signals
… of this motion artifact removal from various physiological signals. The preliminary investigations focus on artifact identi�cation and the tagging of physiological signals streams with measures of signal quality. A new method for quantifying signal quality is developed based on the use of …
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A data analytics framework for physiological signals from wearable devices
… to enable acquisition and quantification of physiological signals in real-world indoor or outdoor contexts. However, their use in research should be based on a reproducible analytics process, ensuring that all the critical steps in data collection and processing are managed in a reliable …
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Exploration, processing and visualization of physiological signals from the ICU
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 …
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Stress and Mental Workload Monitoring in Pilots Using a Physiological Signals Approach
L'abstract è presente nell'allegato / the abstract is in the attachment
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Methods to improve the signal quality of corrupted multi-parameter physiological signals
… continuous uninterrupted real-time monitoring of physiological signals such as Electrocardiogram (ECG), Arterial Blood Pressure (ABP), and the Photo Plethysmogram (PPG). Unfortunately, these signals are often corrupted by noise, artifacts, and missing data, which can result in a high incidence of …
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PROCESSING AND CLASSIFICATION OF PHYSIOLOGICAL SIGNALS USING WAVELET TRANSFORM AND MACHINE LEARNING ALGORITHMS
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) …
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BeatDB v3 : a framework for the creation of predictive datasets from physiological signals
… a framework for fast processing and analysis of physiological data, such as arterial blood pressure (ABP) or electrocardiograms (ECG). BeatDB takes such data as input and processes it for machine learning analytics in multiple stages. It offers both beat and onset detection, feature extraction …
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Towards real-time tracking of persons in distress phase situations using emotional physiological signals
Submitted in fulfillment of the requirements of the Degree of Doctor of Philosophy in Information Technology, Durban University of Technology, Durban, South Africa. 2019.
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Advanced Stress Management: Integration of Physiological Signals and Personal Characteristics to Prevent and Manage Stress
… "Advanced Stress Management: Integration of Physiological Signals and Personal Characteristics to Prevent and Manage Stress," addresses the issue of stress, which has become a significant concern in modern society. Stress, whether subjectively or physiologically measured, has been shown to …
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Stochastic modeling of physiological signals with hidden Markov models : a step toward frustration detection in human-computer interfaces
Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1998.
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Physiologically-mediated Interaction between Children with Profound Disabilities and Their Environment
This thesis explores the physiologically-mediated interactions between children with profound disabilities and their environment. Using a structure inspired by the musical theme and variation compositional form, the concept of using physiological signals to enrich person-environment interaction …
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Wearable and automotive systems for affect recognition from physiology
… and built to recognize affective patterns in physiological signals. Experiments were conducted for evaluation of the new systems and algorithms in three types of settings: a highly constrained laboratory setting, a largely unconstrained ambulatory environment, and a less unconstrained …
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Circadian and Multi-day Rhythms in Generalized Tonic-Clonic Seizure: A Probabilistic Approach
… circadian and multi-day rhythms in human physiological signals. Also, various types of epilepsy have distinctive timing patterns with respect to sleep-wake cycles. However, it remains inconclusive how sleep parameters, non-invasive ambulatory physiological signals, and seizure occurrences …
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Determining Correlation Between Video Stimulus and Electrodermal Activity
… growth of wearable devices capable of measuring physiological signals, affective computing is becoming more popular than before that gradually will remove our cognitive approach. One of the physiological signals is the electrodermal activities (EDA) signal. We explore how video stimulus that …
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Analysis of users' psycho-physiological parameters in response to affective multimedia - A mutlimodal and implicit approach for user-centric multimedia tagging
… implicitly (i.e. via sensors that collect psycho-physiological signals such as facial expressions, vocal clues, neuro-physiological signals, gestures and body postures). The affective state of a user, during an interaction with a computer, is a great source of information for the computer in order …
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A Physiological Signal Processing System for Optimal Engagement and Attention Detection.
… monitoring system which uses fundamental physiological signals such as the Electrocardiograph (ECG), to analyze and predict the presence or lack of cognitive attention in individuals during task execution. The primary focus of this study is to identify the correlation between fluctuating …
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Investigating the Use of Physiological and Behavioral Signals to Facilitate Empathic Human-AI Interaction for Daily Stress Management
… for general mental health support. EmLLMs use physiological and behavioral signals to infer users' mental states (affective and cognitive) and accordingly generate empathic messages as adaptive interventions. Three core research goals guided this work: (1) systematically reviewing …
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Multiscale Quantitative Analytics of Human Visual Searching Tasks
… the general relationship between individual's physiological signals with visual searching decisions; 2) the individual scale to model the relationship between individual differences and visual searching decisions; and 3) the attention scale to model the relationship between individuals' …
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Contactless Sleep and Physiological Monitoring Using Artificial Intelligence and Radio Waves
Remote monitoring of sleep and physiological signals is critical for tracking human health, managing diseases, and enabling early intervention. However, existing monitoring solutions face two major limitations: (1) they are often unsuitable for vulnerable populations—such as infants and seniors—and …
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