Administrative Staff Authors : Recent submissions
Now showing items 801-820 of 840
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A comparison of the ECG classification performance of different feature sets
(IEEE, 2000)This study investigates the automatic classification of the Frank lead ECG into different disease categories. A comparison of the performance of a number of different feature sets is presented. The feature sets considered ... -
Quantitative analysis and comparison of diffusion tensor imaging tractography algorithms
(2006)This paper describes a platform developed for analysis of diffusion tensor image data using different tractography algorithms. The platform allows these algorithms to be compared both quantitatively and qualitatively. Two ... -
Tracing individual public transport customers from an anonymous transaction database
(University of South Florida, National Center for Transit Research, 2006)Data mining concepts are used frequently throughout the transportation research sector. This paper uses the concept of the market basket technique on public transport users as a means of gaining more insight into their ... -
Automatic classification of shoeprints for use in forensic science based on the fourier transform
(IEEE, 2003)This study developed a system of automatic classification of shoeprint images into groups belonging to the same sole pattern. When presented with an image of a new shoeprint the system displays a ranked sequence ... -
EEG alpha power and coherence time courses in a sustained attention task
(IEEE, 2003)Alpha activity at certain brain regions and the functional relationships between these regions quantified by alpha coherence were examined in a fixed sequence Sustained Attention to Response Task (SART), which involves the ... -
Automatic classification of ECG beats using waveform shape and heart beat interval features
(IEEE, 2003)The paper presents the classification performance of an automatic classifier of the electrocardiogram (ECG) for the detection of normal, premature ventricular contraction and fusion beat types. Both linear discriminants ... -
A simultaneous filtering and feature extraction strategy for direct brain interfacing
(IEEE, 2002)Parametric modeling strategies are explored in conjunction with Linear Discriminant Analysis (LDA) to facilitate an Electroencephalogram (EEG) based direct-brain interface. A left/right self-paced typing exercise is analysed ... -
Fast marching methods applied to face location in videophone applications using colour information
(IEEE, 2002)A new method is proposed to automatically segment out a person's face from a given sequence of images that consists of a head-and-shoulder view, using the fast marching level set approach. The method proposed involves a ... -
Automatic sleep apnoea detection using measures of amplitude and heart rate variability from the electrocardiogram
(IEEE, 2002)A method for the automatic processing of the electrocardiogram (ECG) for the detection of disordered breathing associated with obstructive sleep apnoea is presented. The method provides a minute-by-minute analysis of ... -
Parametric models and spectral analysis for classification in brain-computer interfaces
(IEEE, 2002)Parametric modelling strategies and spectral analysis are explored in conjunction with linear discriminant analysis to facilitate an EEG based direct-brain interface for use by disabled people. A self-paced typing exercise ... -
Lessons from speechreading
(IEEE, 2001)Speechreading is the ability to understand a speaker?s thoughts by watching the movements of the face and body and by using the information provided by the situation and the language. People with normal hearing and the ... -
Using wavelet coefficients for the classification of the electrocardiogram
(IEEE, 2002)This study investigates the automatic classification of the Frank lead electrocardiogram (ECG) into different pathophysiological disease categories. Coefficients from the discrete wavelet transform are used to represent ... -
A comparison of the ECG classification performance of different feature sets
(IEEE, 2000)This study investigates the automatic classification of the Frank lead ECG into different disease categories. A comparison of the performance of a number of different feature sets is presented. The feature sets considered ... -
Automatic classification of sleep apnea epochs using the electrocardiogram
(IEEE, 2000)This study investigated the automatic prediction of epochs of sleep apnea from the electrocardiogram. A large independently validated database of 70 single lead ECGs, each of approximately 8 hours in duration, was used ... -
Robust multi-modal person Identification with tolerance of facial expression
(IEEE, 2004)The research presented in this work describes audio-visual speaker identification experiments carried out on a large data set of 251 subjects. Both the audio and visual modeling is carried out using hidden Markov models. ... -
A comparison of covert and overt attention as a control option in a steady-state visual evoked potential-based brain computer interface
(2004)EEG data were recorded from occipital scalp regions of subjects who attended to an alternating checkerboard stimulus in one visual field while ignoring a similar stimulus of a different frequency in the opposite ... -
Independent brain computer interface control using visual spatial attention-dependent modulations of parieto-occipital alpha
(2005)Parieto-occipital alpha band (8-14 Hz) EEG activity was examined daring a spatial attention-based brain computer interface paradigm for its potential use as a feature for left/right spatial attention classification. In ... -
Literature Review on Issues of Work Life Balance, Workplace Culture and Maternity/Childcare Issues
(Crisis Pregnancy Agency, 2006)This report is a literature review of work-life balance, workplace culture and maternity/childcare issues. It draws on national and international research, policy and legislation, and looks particularly at the role each ... -
Automated processing of the single lead electrocardiogram for the detection of obstructive sleep apnoea
(IEEE, 2003)A method for the automatic processing of the electrocardiogram (ECG) for the detection of obstructive apnoea is presented. The method screens nighttime single-lead ECG recordings for the presence of major sleep apnoea and ...
