Results 71 to 80 of about 2,785,850 (195)
A Bayesian Residual Transform for Signal Processing
IEEE Access, 2015 Multiscale decomposition has been an invaluable tool for the processing of physiological signals. Much focus on multiscale decomposition for processing such signals have been based on scale-space theory and wavelet transforms.
Alexander Wong, Xiao Yu Wang
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Physiological Computing Education: Towards Teaching Using Physiological Signals
, 2022 Electronic Thesis or DissertationPhysiological computing is a novel technology revolutionizing fields outside medical disciplines. Recently, there are multiple implementations of physiological data in educational contexts (e.g., user state monitoring and
Hernandez-Cuevas, Bryan Yomar
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Studying the Spatial Distribution of Physiological Effects on BOLD Signals using Ultrafast fMRI
Frontiers in Human Neuroscience, 2014 The blood-oxygen-level dependent (BOLD) signal in fMRI reflects both neuronal activations and global physiological fluctuations. These physiological fluctuations can be attributed to physiological low frequency oscillations (pLFOs), respiration, and ...
Yunjie eTong +3 more
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A study of physiological signals-based emotion recognition systems. [PDF]
, 2013 The use of physiological signals is relatively recent development in human emotion recognition. Interest in this field has been motivated by the unbiased nature of such signals, which are generated autonomously from the central nervous system. Generally,
Abdullah, Lili Nurliyana +3 more
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Role of Tau Protein in Both Physiological and Pathological Conditions [PDF]
, 2004 The morphology of a neuron is determined by its cytoskeletal scaffolding. Thus proteins that associate with the principal cytoskeletal components such as the microtubules have a strong influence on both the morphology and physiology of neurons.
Avila, Jesús +3 more
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Applied SciencesDriver monitoring systems (DMSs) are increasingly important for road safety, aiming to reduce driver-caused accidents. Traditional DMSs, focusing on behavioral and observable signals, lack the sensitivity to detect changes in the driver’s health status ...
Galidiya Petrova +3 more
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Recovering signals in physiological systems with large datasets
Biology Open, 2016 In many physiological studies, variables of interest are not directly accessible, requiring that they be estimated indirectly from noisy measured signals. Here, we introduce two empirical methods to estimate the true physiological signals from indirectly
Hodjat Pendar +2 more
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Dimensionality Reduction Techniques for the Analysis of Physiological Signals in Human Sexual Response [PDF]
openThis thesis explores the physiological signals that underlie the sexual response of women, focusing on the identification of the orgasm phase.
CHINELLO, ANGELA
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IEEE AccessIn the field of physiological signals monitoring and its applications, non-contact technology is often proposed as a possible alternative to traditional contact devices.
Antonio Nocera +4 more
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Linear And Nonlinear Analysis of Multimodal Physiological Data for Emotion Recognition [PDF]
Journal of Artificial Intelligence and System ModellingRecognizing the emotional states of individuals around us is a main part of social indicators and everyday relations. Emotion recognition using physiological data analysis through machine learning approaches involves the utilization of various ...
Amirhosein Dolatabadi +4 more
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