1,720,955 research outputs found
Toward A Generalised Signal Processing Framework for Inter-Subject Associative BCI
No full textAn inter-subject associative BCI refers to a fully zero-training neural decoding algorithm when a group of users shares similar EEG features so that the algorithm can perform well for a user when trained on other users' data from the same group. However, only a few studies attempted to quantify inter-subject associativity, i.e., identifying task-related EEG features that exhibit unchanged feature domains across subjects, minimizing the chance of covariate shift occurrence. Quantifying inter-subject associativity complements data-driven transfer learning and delivers good BCI performance without any training data. Data-driven conventional techniques, including common spatial pattern (CSP), are prone to overfitting and often demonstrate inconsistent classification accuracies. However, recently introduced convolutional neural network (CNN)-based architectures are deep learning techniques that inherently learn features from data with nonlinear activation functions while optimizing the models' predictive capabilities. A novel Bhattacharya distance-based predictor was developed for a CSP-based BCI classification framework. The CSP-based methods were compared with novel BCI classification pipelines utilizing a 1-dimensional convolutional neural network (1D-CNN) architecture. Various feature representation techniques, such as bandpass-filtered EEG signals, power spectral density (PSD) sequences, and bi-channel cross-power spectral density (CPSD) sequences, were used to train the proposed 1D-CNN architectures. The proposed methods were tested on motor imagery (MI) and speech classification tasks from EEG signals. Results implicated that 1D-CNN, utilizing time-domain EEG signals, produced better classification accuracies than frequency-embedded PSD or CPSD sequences and CSP-based methods for intra- and inter-subject MI classification. However, the proposed 1D-CNN with PSD sequences outperformed the results of time-domain EEG signals for intra-subject speech BCI
Personalised Signal Processing for Cortical and Cardiac Applications
Full text linkBiomedical signals reflect alterations in human physiological parameters in both healthy and pathological conditions. Their inherent variability over time and across individuals reduces the reproducibility of results and utility of biomedical signals. Personalisation of signal processing schemes by including parameters associated with the sources of inter-session and inter-subject variability can promote the usability of biomedical signals for larger cohorts. This thesis explores strategies for personalising signal processing techniques for the assessment of cortical and cardiac electrophysiological phenomena. A sensorimotor rhythm-based brain-computer interface (BCI) exploits changes in electroencephalogram (EEG) during motor imagery tasks and can establish a direct communication link between the brain and a computer, which may augment motor performance. Dealing with the variability inherent in EEG signals is not trivial and yet to be understood comprehensively to deliver BCI technology for practical use. A waveletbased signal processing method has been applied to model inter-subject associative source activations, leading to a more generalised BCI design. Intracardiac electrograms (EGM) are important for mapping electrical activation across the heart. Multiple variables, including bipolar vector orientation relative to the wave propagation vector, inter-electrode spacing, impact EGM recording. In this thesis, intracardiac EGM recorded with a customised array of electrodes were analysed to assess the impact of bipolar vector orientation and inter-electrode spacing on atrial fibrillation mapping. A novel spatial filtering method has been proposed to reduce the measurement uncertainty due to bipolar vector orientation. Besides, an independent component analysis-based filtering has been proposed as a potential preprocessing method for eliminating ventricular far-field artefact.Thesis (MPhil) -- University of Adelaide, School of Electrical & Electronic Engineering, 202
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
Full text link“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Full text linkWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
Full text linkWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
koamabayili/VECTRON-author-checklist: VECTRON author checklist
No full textWe have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used
Author-wise bibliometric analysis based on entropy.
No full textAuthor-wise bibliometric analysis based on entropy.</p
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