Now showing items 1-18 of 18

    • Background activity originating from same area as epileptiform events in the EEG of paediatric patients with focal epilepsy 

      Vanrumste, B.; Jones, R.D.; Bones, P.J.; Carroll, G.J. (University of Canterbury. Electrical and Computer Engineering, 2004)
      The aim of this study was to investigate the presence of apparent non-epileptiform activity arising in the same brain area as epileptiform activity in the EEG of paediatric patients with focal epilepsy. The EEG from ...
    • Continuous wavelet transform for the detection and classification of epileptiform activity in the EEG 

      Gölz, H.; Jones, R.D.; Bones, P.J. (University of Canterbury. Electrical and Computer Engineering, 1999)
      This paper outlines a novel approach to wavelet based detection of epileptiform activity in the EEG. A special complex-valued wavelet filter is used in a continuous wavelet transform (CWT). The response of wavelet coefficients ...
    • Detection of focal epileptiform activity in the EEG: an SVD and dipole model approach 

      Vanrumste, B.; Jones, R.D.; Bones, P.J. (University of Canterbury. Electrical and Computer Engineering, 2002)
      An algorithm has been developed for detection of epileptiform activity in the EEG. The EEG is divided into overlapping epochs, which undergo two steps. The first is singular value decomposition (SVD) which identifles the ...
    • EEG-based event detection using optimized echo state networks with leaky integrator neurons 

      Ayyagari, S.; Jones, R.D.; Weddell, S.J. (University of Canterbury. Electrical and Computer Engineering, 2014)
      Long-haul truck drivers, train drivers and commercial airline pilots routinely experience monotonous and extended driving periods in a sedentary position, which has been associated with drowsiness, microsleeps, and, ...
    • EEG-based microsleep detection using supervised learning 

      Ayyagari, S.; Jones, R.D.; Weddell, S.J. (University of Canterbury. Electrical and Computer Engineering, 2014)
      Tiredness and fatigue can often lead to brief instances of people falling asleep while engaged in some active task such as driving a motor vehicle. A study on fatigue by the General Association of German Insurance ...
    • Enchancement of deep epileptiform activity in the EEG by 3-D adaptive spatial filtering: simulations and real data 

      Ward, D-M.; Jones, R.D.; Bones, P.J.; Carroll, G.J. (University of Canterbury. Electrical and Computer Engineering, 1998)
      An adaptive ‘beamformer’ spatial filter has been investigated for the enhancement of signals from deep sources in the brain suspected of being epileptiform discharges (EDs). A forward 3-D inhomogeneous spherical model that ...
    • Enhancement of deep epileptiform activity in the EEG via 3-D adaptive spatial filtering, 

      Ward, D-M.; Jones, R.D.; Bones, P.J.; Carroll, G.J. (University of Canterbury. Electrical and Computer Engineering, 1999)
      The detection of epileptiform discharges (ED’s) in the electroencephalogram (EEG) is an important component in the diagnosis of epilepsy. However, when the epileptogenic source is located deep in the brain, the ED’s at the ...
    • A Flying-Spot Laser Scanner for Tracking Eye Movements 

      Wilson, B.A.; Jones, R.D.; Bones, P.J.; Anderson, T.J. (University of Canterbury. Electrical and Computer EngineeringUniversity of Canterbury. Communication Disorders, 1996)
      A novel system has been developed to provide noninvasive and simultaneous measures of horizontal, vertical, and torsional (rotation about the visual axis) movements of the eye. It uses a flyingspot laser scanner to ...
    • Fractal dimension of the EEG for detection of behavioural microsleeps 

      Peiris, M.T.R.; Jones, R.D.; Davidson, P.R.; Bones, P.J.; Myall, D.J. (University of Canterbury. Electrical and Computer Engineering, 2005)
      The fractal dimension (FD) of EEG has been shown to be of value in the detection of epileptic seizures. In this paper, we assess its usefulness in detecting behavioural microsleeps. Fifteen non-sleep-deprived normal ...
    • Identification of vigilance lapses using EEG/EOG by expert human raters 

      Peiris, M.T.R.; Jones, R.D.; Davidson, P.R.; Carroll, G.J.; Signal, T.L.; Parkin, P.J.; van den Berg, M.; Bones, P.J. (University of Canterbury. Electrical and Computer Engineering, 2005)
      It is critically important for certain occupational groups to remain highly alert throughout their working day. For safety reasons, it would be useful to automatically detect lapses in performance using EEG/EOG. Automating ...
    • Investigation of lapses of consciousness using a tracking task: preliminary results 

      Peiris, M.T.R.; Jones, R.D.; Carroll, G.J.; Bones, P.J. (University of Canterbury. Electrical and Computer Engineering, 2004)
      In many high-risk occupations, it is critical that a person remains alert at all times. There is much to be gained by being able to monitor a person on-line and detect lapses of consciousness (LoC) so that remedial ...
    • Measurement of BOLD changes due to cued eye-closure and stopping during a continuous visuomotor task via model-based and model-free approaches 

      Poudel, G.R.; Jones, R.D.; Innes, C.R.H.; Bones, P.J.; Watts, R.; Davidson, P.R. (University of Canterbury. Electrical and Computer EngineeringUniversity of Canterbury. Physics and Astronomy, 2010)
      As a precursor for investigation of changes in neural activity underlying lapses of responsiveness, we set up a system to simultaneously record functional magnetic resonance imaging (fMRI), eye-video, EOG, and continuous ...
    • A miniature head-mounted camera for measuring eye closure 

      Knopp, S.J.; Bones, P.J.; Weddell, S.J.; Innes, C.R.H.; Jones, R.D. (University of Canterbury. Electrical and Computer Engineering, 2012)
      This paper describes a miniature camera module for capturing close-up video of one eye and the image processing steps to locate the pupil and measure eye closure from this video. This camera is one component of a ...
    • Multi-reference adaptive noise cancellation in the EEG 

      Arnal, R.; Jones, R.D.; Weddell, S.J. (University of Canterbury. Electrical and Computer Engineering, 2014)
      INTRODUCTION: The electroencephalogram (EEG) records patterns of brain activity and provides a great deal of diagnostic information. For example, these recordings can help detect epileptic patients, brain tumors, or even ...
    • Multireference adaptive noise cancelling applied to the EEG. 

      James, C.J.; Hagan, M.T.; Jones, R.D.; Bones, P.J.; Carroll, G.J. (University of Canterbury. Electrical and Computer Engineering, 1997)
      The technique of multireference adaptive noise canceling(MRANC) is applied to enhance transient nonstationarities in the electroencephalogram(EEG), with the adaptation implemented by means of a multilayer-perceptron ...
    • The Self-Organising Feature Map in the Detection of Epileptiform Transients in the EEG 

      James, C.J.; Jones, R.D.; Bones, P.J.; Carroll, G.J. (University of Canterbury. Electrical and Computer EngineeringUniversity of Canterbury. Communication Disorders, 1996)
      A system is proposed which utilises Kohonen’s selforganising feature map (SOFM) to help detect the presence of epileptiform transients in the EEG. The system consists of a feature extractor, which employs a mimetic approach ...
    • Spatial analysis of multi-channel EEG recordings through a fuzzy-rule based system in the detection of epiletiform events. 

      James, C.J.; Jones, R.D.; Bones, P.J.; Carroll, G.J. (University of Canterbury. Electrical and Computer Engineering, 1998)
      A system has been developed which utilises fuzzy logic to perform spatial analysis of the multichannel EEG recording and forms the final stage of a multi-stage system to detect the presence of epileptiform events (EVs) ...
    • Spatio-Temporal Filtering of the EEG via Neural Network Based Multireference Adaptive Noise Cancelling 

      James, C.J.; Hagen, M.T.; Jones, R.D.; Bones, P.J.; Carroll, G.J. (University of Canterbury. Electrical and Computer EngineeringUniversity of Canterbury. Communication Disorders, 1996)
      A system is proposed which enhances transient nonstationarities and, in particular, epileptiform discharges in the EEG. It is based around the technique of multireference adaptive noise cancelling (MRANC) which attenuates ...