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Home > Health > Behavioural Basis of Health > Staff > Tim Cutmore

Tim Cutmore

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Tim Cutmore

Contact details for Dr Timothy Cutmore

Research expertise

  • My primary research interest is in signal processing of Event-Related Potentials (ERPs). In particular I have developed Matlab code to display and process ERP data from the Cognitive Psychophysiology Laboratory here in the School of Psychology at Mount Gravatt.
  • I have worked on a number of wavelet-based analysis techniques and developed highly innovative algorithms for improving the signal-to-noise ratio for ERPs.
  • I have published several papers in this area.  I have had extensive experience conducting ERP experiments over the past 16 years on a wide range of topics including decision making, vigilance, memory deception and eye movements.

Current teaching areas

  • I am the convenor of 2000PSY (Research Methods and Statistics 2), 20006PSY (Cognition, Memory and Learning) and co-convenor of 3010PSY  (Cognitive Neuroscience).
  • I also lecture into 2007PSY (Biological Psychology) and 1001PSY (Introduction to Cognitive and Biological Psychology).

Publications

  • Harris, J D., Cutmore, T.R.H., O'Gorman, J., Finnigan, S. & Shum, D.H.K. (2009). Neurophysiological indices of perceptual object priming in the absence of explicit recognition memory. International Journal of Psychophysiology, 71, 132-141.
  • Cutmore, T.R.H., Djakovic, T., Kebbell, M.R., & Shum, D.H. (2009). An object cue is more effective than a word in ERP-based detection of deception, International Journal of Psychophysiology, 71, 185-192.
  • Cutmore, T.R.H. & Celka, P. (2008). Composite noise reduction of ERPs using wavelet, model-based and principal component subspace methods. Journal of Psychophysiology, 22(3), 111-120.
  • Celka, P., Le K.N., & Cutmore, T.R.H  (2008). Noise reduction in rhythmic and multi-trial biosignals with applications to event-related potentials, IEEE Transactions on Biomedical Engineering, 55(7), 1809-1821.
  • Cutmore, T.R.H. & James, D.A. (2007). Sensors and Sensor Systems for Psychophysiological Monitoring: A Review of Current Trends. Journal of Psychophysiology.21(1), 51-71.
  • Browne, M. Mayer, N. & Cutmore, T.R.H. (2007). A multi-scale polynomial filter for adaptive smoothing. Digital Signal Processing. 17, 69-75.
  • Celka, P., & Cutmore,  T.R.H. (2007). Recursive smooth noise reduction using subspace approach: application to evoked potentials", Proceedings of the World Conference on Medical Physics and Biomedical Engineering, Seoul, August 27 - Septembre 01 2006, 1063-1067.
  • Lee., T., James, D.D., Rowlands, D. & Cutmore, T.R.H. (2006). An ECG Data Management and Processing System for Teaching and Research, 11th World Congress on Internet in Medicine, Improving Public Health Through the Internet: Presenters, Abstracts and Papers, JMIR Publications.
  • Steele, T. Cutmore, T..R.H., James, D.A., & Rakotonirairy A. (2005). An investigation into peripheral physiological markers that predict monotony, Proceedings of the 2004 Road Safety research, Policing and Education Conference. Office of Road Safety: Perth.
  • Cooper, D,, Rowlands, D,D., James, D., & Cutmore, T. (2005). Novel electrocardiograph visualization techniques for multichannel data. Conference on Biomedical Applications of Micro- and Nanoengineering II, 5651, 106-114, Dec 13-15, 2004 Sydney AUSTRALIA.
  • Wilson, D., Rowlands, D.D., James, D., & Cutmore, T. (2005). Non-linear signal processing of electroencephalograms for automated sleep monitoring. Conference on Biomedical Applications of Micro- and Nanoengineering II,5651, 95-105   Dec 13-15, 2004 Sydney AUSTRALIA.

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