Research output per year
Research output per year
Personal profile
Research Interests
Signal processing
- EEG analysis
- Independent Components Analysis
- Bayesian analysis
Engineering education
Completed Supervisions
Principal Supervisions:
- Biomedical analysis, EEG, CT, MRI, ICA (1)
- Biomedical signal processing (1)
Associate Supervisions:
- Biomedical analysis, EEG, CT, MRI, ICA (3)
Education/Academic qualification
PhD, University of Cambridge
1990 → 1993
Supervision
- Registered
Supervisory Interests
- Biomedical analysis, EEG, CT, MRI, ICA
- Biomedical signal processing
- Signal and image processing
- Biomedical and electronic engineering
Keywords
- TK Electrical engineering. Electronics Nuclear engineering
- Signal processing
- RC0321 Neuroscience. Biological psychiatry. Neuropsychiatry
- EEG
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Markov modeling of phase singularity interaction effects in human atrial and ventricular fibrillation
Jenkins, E. V., Dharmaprani, D., Schopp, M., Quah, J. X., Tiver, K., Mitchell, L., Nash, M. P., Clayton, R. H., Pope, K. & Ganesan, A. N., 12 Jun 2023, In: Chaos. 33, 6, 10 p., 063136.Research output: Contribution to journal › Article › peer-review
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Managing electromyogram contamination in scalp recordings: An approach identifying reliable beta and gamma EEG features of psychoses or other disorders
Pope, K. J., Lewis, T. W., Fitzgibbon, S. P., Janani, A. S., Grummett, T. S., Williams, P. A. H., Battersby, M., Bastiampillai, T., Whitham, E. M. & Willoughby, J. O., Sept 2022, In: Brain and Behavior. 12, 9, 11 p., e2721.Research output: Contribution to journal › Article › peer-review
Open AccessFile1 Citation (Scopus)12 Downloads (Pure) -
The inspection paradox: An important consideration in the evaluation of rotor lifetimes in cardiac fibrillation
Jenkins, E. V., Dharmaprani, D., Schopp, M., Quah, J. X., Tiver, K., Mitchell, L., Xiong, F., Aguilar, M., Pope, K., Akar, F. G., Roney, C. H., Niederer, S. A., Nattel, S., Nash, M. P., Clayton, R. H. & Ganesan, A. N., 6 Sept 2022, In: Frontiers in Physiology. 13, 13 p., 920788.Research output: Contribution to journal › Article › peer-review
Open AccessFile2 Citations (Scopus)4 Downloads (Pure) -
Understanding the origins of the basic equations of statistical fibrillatory dynamics
Jenkins, E. V., Dharmaprani, D., Schopp, M., Quah, J. X., Tiver, K., Mitchell, L., Pope, K. & Ganesan, A. N., 2022, In: Chaos. 32, 3, 13 p., 032101.Research output: Contribution to journal › Review article › peer-review
3 Citations (Scopus) -
The Necessity of Leave One Subject Out (LOSO) Cross Validation for EEG Disease Diagnosis
Kunjan, S., Grummett, T. S., Pope, K. J., Powers, D. M. W., Fitzgibbon, S. P., Bastiampillai, T., Battersby, M. & Lewis, T. W., 2021, Brain Informatics : 14th International Conference, BI 2021 Virtual Event, September 17–19, 2021 Proceedings. Mahmud, M., Kaiser, M. S., Vassanelli, S., Dai, Q. & Zhong, N. (eds.). Switzerland: Springer Nature, p. 558-567 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12960 LNAI).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
9 Citations (Scopus)