Browsing by Author "REILLY, RICHARD"
Now showing items 1-20 of 86
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Acoustic and Temporal Analysis of Speech: A Potential Biomarker for Schizophrenia
(2010)Currently, there are no established objective biomarkers for the diagnosis or monitoring of schizophrenia. It has been previously reported that there are notable qualitative differences in the speech of schizophrenics. The ... -
The Acoustic Features of Inhalation can be Used to Quantify Aerosol Delivery from a Diskus (TM) Dry Powder Inhaler
(2014)Purpose Some patients are unable to generate the peak inspiratory flow rate (PIFR) necessary to de-agglomerate drug particles from dry powder inhalers (DPIs). In this study we tested the hypothesis that the acoustic ... -
Acquisition of Human EEG Data during linear Self-Motion on a Stewart Platform
(IEEE, 2009)The present study investigated the feasibility of acquiring electroencephalography (EEG) data during self-motion in human subjects. Subjects performed a visual oddball task ? designed to evoke a P3 event-related potential ... -
Adaptive noncontact gesture-based system for augmentative communication
(IEEE, 1999)An adaptive noncontact gesture-based system for augmentative communication is described. The system detects movement of any anatomical site through the analysis of reflected speckle. This movement is converted into ... -
Assessing motility through abdominal sound monitoring
(IEEE, 1997)This paper presents the results of an investigation into a computerised system for the assessment of gastrointestinal motility through the recording and analysis of bowel sounds. The system described is aimed primarily at ... -
Automated processing of shoeprint images based on the Fourier transform for use in forensic science
(IEEE, 2005)The development of a system for automatically sorting a database of shoeprint images based on the outsole pattern in response to a reference shoeprint image is presented. The database images are sorted so that those from ... -
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 ... -
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 ... -
Automatic classification of heartbeats using ECG morphology and heartbeat interval features
(IEEE, 2004)A method for the automatic processing of the electrocardiogram (ECG) for the classification of heartbeats is presented. The method allocates manually detected heartbeats to one of the five beat classes recommended by ... -
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 ... -
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 ... -
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 ... -
Beat classification for use in arrhythmia analysis
(IEEE, 2000)An important step in the classification of arrhythmias is beat classification. The aim of this work is to classify the beats in the MIT-BIH Arrhythmia database and to investigate pertinent features for beat classification. ... -
Brain-computer interfaces, virtual reality, and videogames
(IEEE, 2008)Major challenges must be tackled for brain-computer interfaces to mature into an established communications medium for VR applications, which will range from basic neuroscience studies to developing optimal peripherals and ... -
Classification of the electrocardiogram using selected wavelet coefficients and linear discriminants
(IEEE, 2000)Twenty-live wavelet coefficients were selected as inputs and cross-validation used to estimate the classifier performance. An overall accuracy of 72.3% was achieved using a database of 500 ECG records independently classified ... -
Color video segmentation using level sets
(IEEE, 2000)A novel segmentation algorithm for color video sequences using the level set technique is proposed. This algorithm is applied to the problem of automatic face region segmentation in video sequences. Given a target color ... -
A comparison of covert and overt attention as a control option in a steady-state visual evoked potential-based brain computer interface
(IEEE, 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 visual ... -
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 ... -
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 ...
