Publications

Preprints

  1. Mapping Extended Landmarks for Radar SLAM
    Shuai Sun, Christopher Gilliam, Kamran Ghorbani, Glenn Matthews, and Beth Jelfs
    arXiv:2210.17207
  2. fMRI-based Static and Dynamic Functional Connectivity Analysis for Post-stroke Motor Dysfunction Patient: A Review
    Kaichao Wu, Beth Jelfs, Katrina Neville, and John Q. Fang
    arXiv:2301.07171
  3. Dynamic Reconfiguration of Brain Functional Network in Stroke
    Kaichao Wu, Beth Jelfs, Katrina Neville, Wenzhen He, and Qiang Fang
    arXiv:2306.15209

Journal Articles

  1. Tracking Functional Network Connectivity Dynamics in the Elderly
    Kaichao Wu, Beth Jelfs, Seedahmed S. Mahmoud, Katrina Neville, and John Q. Fang
    Frontiers in Neuroscience, 2023, vol. 17, no. 1146264.
  2. Virtual Reality and Motor Imagery for Early Post-Stroke Rehabilitation
    Chi S. Choy, Qiang Fang, Katrina Neville, Bingrui Ding, Akshay Kumar, Seedahmed S. Mahmoud, Xudong Gu, Jianming Fu, and Beth Jelfs
    BioMedical Engineering OnLine, 2023, vol. 22, no. 66.

Conference Articles

  1. Landmark Management in the Application of Radar SLAM
    Shuai Sun, Beth Jelfs, Kamran Ghorbani, Glenn Matthews, and Christopher Gilliam
    In Proc. Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2022, pp. 903–910.

Journal Articles

  1. An Efficient and Flexible Spike Train Model via Empirical Bayes
    Q. She, Xiaoli Wu, B. Jelfs, A. S. Charles, and R. H. M. Chan
    IEEE Transactions on Signal Processing, 2021, vol. 69, no. 66. pp. 3236–3251.
  2. An Adaptive All-Pass Filter for Time-Varying Delay Estimation
    B. Jelfs, S. Sun, K. Ghorbani, and C. Gilliam
    IEEE Signal Processing Letters, 2021, vol. 28, no. 66. pp. 628–632.
  3. Toward Autonomous UAV Localization via Aerial Image Registration
    Xuezhi Wang, Allison Kealy, Wenchao Li, Beth Jelfs, Christopher Gilliam, Samantha Le May, and Bill Moran
    Electronics, 2021, vol. 10, no. 4:435. pp. 628–632.
  4. Cooperative Localization Using Distance Measurements for Mobile Nodes
    Wenchao Li, Beth Jelfs, Allison Kealy, Xuezhi Wang, and Bill Moran
    Sensors, 2021, vol. 21, no. 4:1507. pp. 628–632.
  5. Weakly-Supervised Lesion Analysis With a CNN-Based Framework for COVID-19
    Kaichao Wu, Beth Jelfs, Xiangyuan Ma, Ruitian Ke, Xuerui Tan, and Qiang Fang
    Physics in Medicine & Biology, 2021, vol. 21, no. 4:1507. pp. 628–632.

Journal Articles

  1. Complexity Measures of Voice Recordings as a Discriminative Tool for Parkinson’s Disease
    R. Viswanathan, S. P. Arjunan, A. Bingham, B. Jelfs, P. Kempster, S. Raghav, and D. K. Kumar
    Biosensors, 2020, vol. 10, no. 1:1. pp. 628–632.

Conference Articles

  1. Application of Image Processing and Circular Statistics to 3D Cellular Alignment
    B. Jelfs, and C. Gilliam
    In Proc. Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2020, pp. 992–1000.

Journal Articles

  1. Prosthetic Hand Control: A Multidisciplinary Review to Identify Strengths, Shortcomings, and the Future
    D. K. Kumar, B. Jelfs, X. Sui, and S. P. Arjunan
    Biomedical Signal Processing and Control, 2019, vol. 53, no. 101588. pp. 628–632.
  2. Which Gait Parameters and Walking Patterns Show the Significant Differences Between Parkinson’s Disease and Healthy Participants?
    S. M. Keloth, R. Viswanathan, B. Jelfs, S. Arjunan, S. Raghav, and D. Kumar
    Biosensors, 2019, vol. 9, no. 2:59. pp. 628–632.

Conference Articles

  1. Normalized Mutual Information of Phonetic Sound to Distinguish the Speech of Parkinson’s Disease
    R. Viswanathan, A. Bingham, S. Raghav, S. P. Arjunan, B. Jelfs, P. Kempster, and D. K. Kumar
    In Proc. Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019, pp. 3525–3526.
  2. Fast & Efficient Delay Estimation Using Local All-Pass & Kalman Filters
    B. Jelfs, and C. Gilliam
    In Proc. Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2019, pp. 1533–1539.

Conference Articles

  1. Estimating Muscle Fibre Conduction Velocity in the Presence of Array Misalignment
    C. Gilliam, and B. Jelfs
    In Proc. Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2018, pp. 853–860.
  2. Identifying Noisy Electrodes in High Density Surface Electromyography Recordings Through Analysis of Spatial Similarities
    A. Bingham, B. Jelfs, S. P. Arjunan, and D. K. Kumar
    In Proc. Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018, pp. 2325–2328.
  3. Time-Varying Delay Estimation Using Common Local All-Pass Filters with Application to Surface Electromyography
    C. Gilliam, A. Bingham, T. Blu, and B. Jelfs
    In Proc. IEEE International Conference on Acoustics, Speech and Signal Processing, 2018, pp. 841–845.

Journal Articles

  1. Normalised Mutual Information of High-Density Surface Electromyography during Muscle Fatigue
    A. Bingham, S. P. Arjunan, B. Jelfs, and D. K. Kumar
    Entropy, 2017, vol. 19, no. 12, pp. 697.
  2. Directionality Indices: Testing Information Transfer with Surrogate Correction
    B. Jelfs, and R. H. M. Chan
    Physical Review E, 2017, vol. 96, no. 5:052220. pp. 697.
  3. Self-Recalibrating Surface EMG Pattern Recognition for Neuroprosthesis Control Based on Convolutional Neural Network
    X. Zhai, B. Jelfs, R. H. M. Chan, and C. Tin
    Frontiers in Neuroscience, 2017, vol. 11, no. 379. pp. 697.

Conference Articles

  1. Outlier Removal in Facial Surface Electromyography Through Hampel Filtering Technique
    S. Bhowmik, B. Jelfs, S. P. Arjunan, and D. K. Kumar
    In Proc. IEEE Life Sciences Conference, 2017, pp. 258–261.
  2. Entropy of Surface EMG Reflects Object Weight in Grasp-and-Lift Task
    Y. Li, B. Jelfs, and R. H.M. Chan
    In Proc. Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2017, pp. 2530–2533.

Journal Articles

  1. Vagus Nerve Stimulation Alters Phase Synchrony of the Anterior Cingulate Cortex and Facilitates Decision Making in Rats
    B. Cao, J. Wang, M. Shahed, B. Jelfs, R. H. M. Chan, and Y. Li
    Scientific Reports, 2016, vol. 6, no. 35135. pp. 697.
  2. Computational Classification of Different Wild-Type Zebrafish Strains Based on Their Variation in Light-Induced Locomotor Response
    Y. Gao, G. Zhang, B. Jelfs, R. Carmer, P. Venkatraman, M. Ghadami, S. A. Brown, C. P. Pang, Y. F. Leung, R. H. M. Chan, and M. Zhang
    Computers in Biology and Medicine, 2016, vol. 69, no. 35135. pp. 1–9.
  3. Impairment of Decision Making and Disruption of Synchrony Between Basolateral Amygdala and Anterior Cingulate Cortex in the Maternally Separated Rat
    B. Cao, J. Wang, X. Zhang, X. Yang, D. C.-H. Poon, B. Jelfs, R. H. M. Chan, J. C.-Y. Wu, and Y. Li
    Neurobiology of Learning and Memory, 2016, vol. 136, no. 35135. pp. 74–85.

Conference Articles

  1. Cross-frequency Information Transfer From EEG to EMG in Grasping
    W. K. Y. So, L. Yang, B. Jelfs, Q. She, S. W. H. Wong, J. N. Mak, and R. H. M. Chan
    In Proc. Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016, pp. 4531–4534.
  2. Short Latency Hand Movement Classification Based on Surface EMG Spectrogram with PCA
    X. Zhai, B. Jelfs, R. H. M. Chan, and C. Tin
    In Proc. Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2016, pp. 327–330.
  3. Fuzzy Entropy Based Nonnegative Matrix Factorization for Muscle Synergy Extraction
    B. Jelfs, L. Li, C. Tin, and R. H. M. Chan
    In Proc. IEEE International Conference on Acoustics, Speech and Signal Processing, 2016, pp. 739–743.

Journal Articles

  1. Theta-Frequency Phase-Locking of Single Anterior Cingulate Cortex Neurons and Synchronization with the Medial Thalamus are Modulated by Visceral Noxious Stimulation in Rats
    J. Wang, B. Cao, T. R. Yu, B. Jelfs, J. Yan, R. H. M. Chan, and Y. Li
    Neuroscience, 2015, vol. 298, no. 35135. pp. 200–210.
  2. Impairment of Cognitive Function by Chemotherapy: Association with the Disruption of Phase-Locking and Synchronization in Anterior Cingulate Cortex
    L. Mu, J. Wang, B. Cao, B. Jelfs, R. H. M. Chan, X. Xu, M. Hasan, X. Zhang, and Y. Li
    Molecular Brain, 2015, vol. 8, no. 32. pp. 200–210.

Conference Articles

  1. Recruitment of Small Synergistic Movement Makes a Good Pianist
    B. Jelfs, S. Zhou, B. K. Y. Wong, C. Tin, and R. H. M. Chan
    In Proc. Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015, pp. 242–245.

Journal Articles

  1. A Unifying Framework for the Analysis of proportionate NLMS Algorithms
    B. Jelfs, and D. P. Mandic
    International Journal of Adaptive Control and Signal Processing, 2014, vol. 29, no. 9, pp. 1073–1085.

Journal Articles

  1. Modelling Noninvasively Measured Cerebral Signals during a Hypoxemia Challenge: Steps towards Individualised Modelling
    B. Jelfs, M. Banaji, I. Tachtsidis, C. E. Cooper, and C. E. Elwell
    PLoS ONE, 2012, vol. 7, no. 6:e38297. pp. 1073–1085.
  2. An Adaptive Approach for the Identification of Improper Complex Signals
    B. Jelfs, D. P. Mandic, and S. C. Douglas
    Signal Processing, 2012, vol. 92, no. 2, pp. 335–344.
  3. Modelling of Brain Consciousness Based on Collaborative Adaptive Filters
    L. Li, Y. Xia, B. Jelfs, J. Cao, and D. P. Mandic
    Neurocomputing, 2012, vol. 76, no. 1, pp. 36–43.

Conference Articles

  1. Individualised Optimisation of Modelled Cerebral Oxygenation Near-Infrared Spectroscopy Signals
    B. Jelfs, J. Panovska-Griffiths, I. Tachtsidis, M. Banaji, and C. Elwell
    In Biomedical Optics and 3-D Imaging, 2012, no. JM3A.32. pp. 242–245.

Journal Articles

  1. An Augmented Echo State Network for Nonlinear Adaptive Filtering of Complex Noncircular Signals
    Y. Xia, B. Jelfs, M. M. Van Hulle, J. C. Principe, and D. P. Mandic
    IEEE Transactions on Neural Networks, 2011, vol. 22, no. 1, pp. 74–83.

Journal Articles

  1. Characterisation of Signal Modality: Exploiting Signal Nonlinearity in Machine Learning and Signal Processing
    B. Jelfs, S. Javidi, P. Vayanos, and D. Mandic
    Journal of Signal Processing Systems, 2010, vol. 61, no. 1, pp. 105–115.

Conference Articles

  1. Blind Extraction of Noncircular Complex Signals Using a Widely Linear Predictor
    S. Javidi, B. Jelfs, and D. P. Mandic
    In Proc. IEEE Workshop on Statistical Signal Processing, 2009, no. JM3A.32. pp. 501–504.

Book Chapters

  1. Collaborative Adaptive Filters for Online Knowledge Extraction and Information Fusion
    B. Jelfs, P. Vayanos, S. Javidi, V. S. L. Goh, and D. Mandic
    In Signal Processing Techniques for Knowledge Extraction and Information Fusion, D. Mandic et al. (eds), Springer, 2008, pp. 3–21.

Conference Articles

  1. Collaborative adaptive filtering in the complex domain
    B. Jelfs, Y. Xia, D. P. Mandic, and S. C. Douglas
    In Proc. IEEE Workshop on Machine Learning for Signal Processing, 2008, no. JM3A.32. pp. 421–425.
  2. Signal Modality Characterisation Using Collaborative Adaptive Filters
    B. Jelfs, and D. Mandic
    In Proc. IAPR Workshop on Cognitive Information Processing, 2008, no. JM3A.32. pp. 421–425.
  3. Online Tracking of the Degree of Nonlinearity Within Complex Signals
    D. P. Mandic, P. Vayanos, S. Javidi, B. Jelfs, and K. Aihara
    In Proc. IEEE International Conference on Acoustics, Speech and Signal Processing, 2008, no. JM3A.32. pp. 2061–2064.

Book Chapters

  1. Exploiting Nonlinearity in Adaptive Signal Processing
    P. Vayanos, M. Chen, B. Jelfs, and D. P. Mandic
    In Advances in Nonlinear Speech Processing, M. Chetouani et al. (eds), Springer Berlin Heidelberg, 2007, pp. 57–77.

Conference Articles

  1. A Unifying Approach to the Derivation of the Class of PNLMS Algorithms
    B. Jelfs, D. P. Mandic, and A. Cichocki
    In Proc. International Conference on Digital Signal Processing, 2007, no. JM3A.32. pp. 35–38.
  2. A Class of Adaptively Regularised PNLMS Algorithms
    B. Jelfs, D. P. Mandic, and J. Benesty
    In Proc. International Conference on Digital Signal Processing, 2007, no. JM3A.32. pp. 19–22.
  3. Collaborative Adaptive Learning using Hybrid Filters
    D. Mandic, P. Vayanos, C. Boukis, B. Jelfs, S. L. Goh, T. Gautama, and T. Rutkowski
    In Proc. IEEE International Conference on Acoustics, Speech and Signal Processing, 2007, no. JM3A.32. pp. 921–924.
  4. Assessment of Nonlinearity in Brain Electrical Activity: A DVV Approach
    M. Chen, T. Rutkowski, B. Jelfs, G. Souretis, J. Cao, and D. Mandic
    In Proc. RISP International Workshop on Nonlinear Circuits and Signal Processing, 2007, no. JM3A.32. pp. 461–464.

Book Chapters

  1. An Online Method for Detecting Nonlinearity Within a Signal
    B. Jelfs, P. Vayanos, M. Chen, S. L. Goh, C. Boukis, T. Gautama, T. Rutkowski, T. Kuh, and D. Mandic
    In Knowledge-Based Intelligent Information and Engineering Systems, B. Gabrys et al. (eds), Springer Berlin Heidelberg, 2006, pp. 1216–1223.

Conference Articles

  1. Towards Online Monitorying of the Changes in Signal Modality: The Degree of Sparsity
    B. Jelfs, and D. Mandic
    In Proc. IMA International Conference on Mathematics in Signal Processing, 2006, no. JM3A.32. pp. 29–32.

Conference Articles

  1. Noninvasive Determination of Fetal Heart Rate and Short Term Heart Rate Variability Using Solely Doppler Ultrasound with Autocorrelation
    F. Schlindwein, A. Boardman, S. Vali, N. Wright, B. Jelfs, S. Mauger, A. Das, J. Waugh, R. Pannerai, and D. Evans
    In Proc. International Conference on Medical Signal & Information Processing, 2004, no. JM3A.32. pp. 29–32.