Publications

Preprints

    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, 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, 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.