PUBLICATIONS
Journal
  1. NR Waytowich and DJ Krusienski. Multiclass Steady-State Visual Evoked Potential Frequency Evaluation using Chirp-Modulated Stimuli, IEEE Human-Machine Systems. (accepted for publication)
  2. Y Shahriari, DJ Krusienski, YS Dadi, M Seo, HS Shin, JH Choi. Impaired auditory evoked potentials and oscillations in frontal and auditory cortex of a schizophrenia mouse model, World Journal of Biological Psychiatry (in press)
  3. NR Waytowich and DJ Krusienski, "Spatial decoupling of targets and flashing stimuli for visual brain–computer interfaces," Journal of Neural Engineering, 12, 2015. [pdf]
  4. S Chakrabarti, HM Sandberg, JS Brumberg, DJ Krusienski, "Progress in Speech Decoding from the Electrocorticogram," Biomedical Engineering Letters, 5, 2015. [pdf]
  5. E Mugler, J Patton, R Flint, Z Wright, S Schuele, J Rosenow, JJ Shih, DJ Krusienski, M Slutzky, "Direct Classification of all American English phonemes using signals from face motor cortex," Journal of Neural Engineering, 11(3), 2014. [pdf]
  6. K Kaur, JJ Shih, DJ Krusienski, "Modeling scalp-electroencephalogram responses using asynchronous intracranial responses," Journal of Neural Engineering, 11(3), 2014. [pdf]
  7. YF Shen, Z Rahman, DJ Krusienski, J Li, “A Vision-based Automatic Safe Landing-site Detection System,” IEEE Trans. on Aerospace and Electronic Systems, 49(1): 294-311, 2013. [pdf]
  8. YF Shen, DJ Krusienski, J Li, Z Rahman, “A Hierarchical Horizon Detection Algorithm,” IEEE Geoscience and Remote Sensing Letters, 10(1): 111-114, 2013. [pdf]
  9. JJ Shih, DJ Krusienski, JR Wolpaw, "Brain-Computer Interfaces in Medicine," Mayo Clinic Proceedings, 87(3): 268-279, 2012. [pdf]
  10. DJ Krusienski, DJ McFarland, JR Wolpaw, "Value of Amplitude, Phase, and Coherence Features for a Sensorimotor Rhythm-Based Brain-Computer Interface, Brain Research Bulletin, 87(1):130-134, 2012. [pdf]
  11. JJ Shih and DJ Krusienski, "Signals from Intraventricular Depth Electrodes can Control a Brain Computer Interface," Journal of Neuroscience Methods, 203:311-314, 2012. [pdf]
  12. DJ Krusienski, M Grosse-Wentrup, D Coyle, F Galan, KJ Miller, E Forney, CW Anderson, "Critical Issues in State-of-the-Art Brain-Computer Interface Signal Processing," Journal of Neural Engineering, 8, 2011. [pdf] 
  13. DJ Krusienski and JJ Shih, "Control of a Brain-Computer Interface using Stereotactic Depth Electrodes in and Adjacent to the Hippocampus," Journal of Neural Engineering, 8, 2011. [pdf] 
  14. DJ Krusienski and JJ Shih, "Control of a Visual Keyboard using an Electrocorticographic Brain-Computer Interface," Neurorehabilitation and Neural Repair, 25(4):323-331, 2011. [pdf] 
  15. G Townsend, BK LaPallo, C Boulay, DJ Krusienski, GE Frye, CK Hauser, NE Schwartz, TM Vaughan, JR Wolpaw, EW Sellers,  "A novel P300-based brain-computer interface stimulus presentation paradighm: moving beyond rows and columns," Clinical Neurophysiology, 121(7):1109-20, 2010. [pdf] 
  16. C Brunner, BZ Allison, DJ Krusienski, V Kaiser, GR Muler-Putz, C Neuper, G Pfurtscheller, "Improved signal processing approaches in an offline simulation of a hybrid brain-computer interface," Journal of Neuroscience Methods, 188(1):165-73, 2010.[pdf] 
  17. DJ Krusienski, “A Method for Visualizing the Independent Spatio-Temporal Patterns of Brain Activity,” EURASIP Journal on Advances in Signal Processing (Special Issue on Statistical Signal Processing in Neuroscience), Article ID 948961, 2009. [pdf]
  18. A Furdea, S Halder, DJ Krusienski, D Bross, F Nijboer, N Birbaumer, A Kubler, An auditory oddball P300 Spelling System for Brain-Computer Interfaces, Psychophysiology, 46(3):617-625, 2009. [pdf]
  19. NR Anderson, K Wisneski, L Eisenman, D Moran, E Leuthardt, DJ Krusienski, An Offline Evaluation of the Autoregressive Spectrum for Electrocorticography, IEEE Trans. Biomedical Eng, 56(3), 2009. [pdf]
  20. F Nijboer, EW Sellers, J Mellinger, MA Jordan,T Matuz, A Furdea, U Mochty, DJ Krusienski, TM Vaughan, JR Wolpaw, A Kubler, A Brain-Computer Interface (BCI) for People with Amyotrophic Lateral Sclerosis (ALS), Clinical Neurophysiology, 119:1909-1916, 2008. [pdf]
  21. DJ McFarland, DJ Krusienski, WA Sarnacki, JR Wolpaw, Emulation of Computer Mouse Control with a Noninvasive Brain-Computer Interface, Journal of Neural Engineering, 5:101-110, 2008. [pdf]
  22. DJ Krusienski, EW Sellers, DJ McFarland, TM Vaughan, JR Wolpaw, Toward Enhanced P300 Speller Performance, Journal of Neuroscience Methods (Special Issue on Brain-Computer Interfaces), 167:15-21, 2008. [pdf]
  23. DJ Krusienski, G Schalk, DJ McFarland, JR Wolpaw, A mu-rhythm Matched Filter for Continuous Control of a Brain-Computer Interface, IEEE Transactions on Biomedical Engineering, 54(2), 2007. [pdf]
  24. DJ Krusienski, EW Sellers, F Cabestaing, S Bayoudh, DJ McFarland, TM Vaughan, JR Wolpaw, A Comparison of Classification Techniques for the P300 Speller, Journal of Neural Engineering, 3:299-305, 2006. [pdf]
  25. EW Sellers, DJ Krusienski, DJ McFarland, TM Vaughan, JR Wolpaw, Matrix Size and Inter-Stimulus Interval Effects using a P300-based Brain-Computer Interface Communication System, Biological Psychology, 117 (3), 538-548, 2006. [pdf]
  26. TM Vaughan, DJ McFarland, G Schalk, WA Sarnacki, DJ Krusienski, EW Sellers, JR Wolpaw, The Wadsworth BCI Research and Development Program: At Home with BCI, IEEE Transactions on Neural Systems and Rehabilitation Engineering, 14(2), 2006. [pdf]
  27. B Blankertz, KR Muller, DJ Krusienski, G Schalk, JR Wolpaw, A Schlogl, G Pfurtscheller, JR Millan, M Schroder, N Birbaumer, The BCI Competition III: Validating Alternative Approaches to Actual BCI Problems, IEEE Transactions on Neural Systems and Rehabilitation Engineering, 14(2), 2006. [pdf]
  28. DJ McFarland, CW Anderson, KR Muller, A Schlogl, and DJ Krusienski, Workshop on BCI Signal Processing: Feature Extraction and Translation, IEEE Transactions on Neural Systems and Rehabilitation Engineering, 14(2), 2006. [pdf]
Book Chapters & Magazine Articles
  1. BZ Allison and DJ Krusienski, Noninvasive Brain-Computer Interfaces. In Encyclopedia of Computational Neuroscience, edited by Dieter Jaeger and Ranu Jung. Springer, 2014.
  2. DJ Krusienski, JC Principe, and DJ McFarland, BCI Signal Processing: Feature Extraction, Book Chapter, Brain-Computer Interfaces for Communication and Control, JR Wolpaw and EW Wolpaw (Eds.), Oxford University Press.
  3. DJ McFarland and DJ Krusienski, BCI Signal Processing: Feature Translation, Book Chapter, Brain-Computer Interfaces for Communication and Control, JR Wolpaw and EW Wolpaw (Eds.), Oxford University Press.
  4. DJ Krusienski and JR Wolpaw, Brain-Computer Interface Research at the Wadsworth Center: Developments in Noninvasive Communication and Control, Book Chapter 11, Brain Machine Interfaces for Space Applications: Enhancing Astronauts’ Capabilities, International Review of Neurobiology, Rossini, Summerer, and Izzo (Eds.), 86:147-57, Elsevier 2009. 
  5. EW Sellers, DJ Krusienski, DJ McFarland, and JR Wolpaw, Non-Invasive Brain-Computer Interface Research at the Wadsworth Center, Book Chapter, Towards Brain-Computer Interfacing., Dornhege, Millan, Hinterberger, McFarland, and Muller (Eds.), MIT Press 2007.
  6. DJ McFarland, DJ Krusienski, and JR Wolpaw, Brain-Computer Interface Signal Processing at the Wadsworth Center: Mu and Beta Sensorimotor Rhythms, Book Chapter 26, Progress in Brain Research: Event-Related Dynamics of Brain Oscillations, Neuper and Klimesch (Eds.), Volume 159, 411-419, Elsevier 2006.
  7. WK Jenkins and DJ Krusienski, Adaptive Signal Processing, Book Chapter, The Electrical Engineering Handbook: Circuits, Signals, and Speech and Image Processing, Third Edition, CRC Press, 2006.
  8. DJ Krusienski and WK Jenkins, Design and Performance of Adaptive Systems Based on Structured Stochastic Optimization Strategies, IEEE Circuits and Systems Magazine, Vol. 5, Num. 1, First Quarter 2005. [pdf]
Conference Proceedings
  1. SL Macdonald, DJ Krusienski, DC Popescu, Cyclostationary-based Detection of Steady-State Visually Evoked Potential Signals Recorded from EEG, In Acoustics, Speech, and Signal Processing, 2016. Proceedings. (ICASSP ’16). IEEE International Conference on,2016.
  2. Y Yang, GD Johnson, DJ Krusienski, S Guo, C Lin, Z Hao, A Microfluidic-based Tactile Sensor for Palpating Mice Tumor Tissues, Biodevices: 9th International Conference ofBiomedical Electronics and Devices, 2016.
  3. D Wang, DJ Krusienski, Z Hao, A Flexible PET-based Resistive Sensor for Artery Pulse Waveform Measurement,Biodevices: 9th International Conference of Biomedical Electronicsand Devices, 2016.
  4. I Choi, K Bond, DJ Krusienski, CS Nam, Comparison of Stimulation Patterns to Elicit Steady-State Somatosensory Evoked Potentials (SSSEPs): Implications for Hybrid andSSSEP-Based BCIs, IEEE System, Man, and Cybernetics Conference, 2015.
  5. N Patel, S Sultana, T Rashid, DJ Krusienski, MA Audette. Application and histology-driven
    refinement of active contour models to functional region and nerve delineation: towards a
    digital brainstem atlas. Proc. SPIE 9415, Medical Imaging 2015: Image-Guided Procedures,
    Robotic Interventions, and Modeling, 2015
  6. Y Shahriari, EW Sellers, LM McCane, TM Vaughan, and DJ Krusienski, Directional Brain Functional Interaction Analysis in Patients with Amyotrophic Lateral Sclerosis, Proc. of the 7th International IEEE EMBS Conference on Neural Engineering, 2015. [pdf]
  7. PV Watkins, LM Doolittle, DJ Krusienski, NR Anderson, A theoretical limit and simulation of time-domain event detection in the EEG, Proc. of the 7th International IEEE EMBS Conference on Neural Engineering, 2015. [pdf]
  8. NR Waytowich and DJ Krusienski, Novel Characterization of the Steady-State Visual Evoked Potential Spectrum of EEG, BrainKDD: International Workshop on Data Mining for Brain Science, 2014. [pdf]
  9. GD Johnson and DJ Krusienski, A Low-Cost Configurable Multichannel Cortical Stimulator Prototype, 6th International IEEE Neural Engineering Conference, 2013. [pdf]
  10. NR Anderson, T Blakely, P Brunner, DJ Krusienski, DW Moran, EC Leuthardt, "High-Frequency Spectral Changes in Dorsolateral Prefrontal Cortex for Potential Neuoroprosthetics," 35th International IEEE EMBS Conference, July 2013. [pdf]
  11. DJ Krusienski and JJ Shih, "Spectral Components of the P300 Speller Response In and Adjacent to the Hippocampus," Proc. of the IEEE International Conference on Systems, Man, and Cybernetics, 2012. [pdf]
  12. NR Waytowich, GD Johnson, and DJ Krusienski, "The Challenges of Using Scalp-EEG Input Signals for Continuous Device Control," Proc. of the 14th International Conference on Human-Computer Interaction, 2011.
  13. YF Shen, Z Rahman, DJ Krusienski, and J Li, "Automatic Detection of Aircraft Emergency Landing Sites," Proceedings of SPIE Defense, Security, and Sensing, 2011.
  14. DJ Krusienski and JJ Shih, "Spectral Components of the P300 Speller Response in Electrocorticography," Proc. of the 5th International IEEE EMBS Conference on Neural Engineering, 2011. [pdf] 
  15. NR Waytowich, A Henderson, DJ Krusienski, DJ Cox, "Robotic Application of a Brain-Computer Interface to Staubli TX40 Robots - Early Stages," World Automation Congress, 2010. [pdf]
  16. DJ Krusienski and JJ Shih, "A Case Study on the Relation Between Electroencephalographic and Electrocorticographic Event-Related Potentials," Proc. of the 32nd International IEEE EMBS Conference, 2010. [pdf]
  17. GD Johnson, NR Waytowich, DJ Cox, DJ Krusienski, "Extending the Discrete Selection Capabilities of the P300 Speller to Goal-Oriented Robotic Arm Control," Proc. of the 3rd IEEE Interational Conference on Biomedical Robotics and Biomechatronics (BioRob), 2010. [pdf]
  18. GD Johnson and DJ Krusienski, Ensemble SWLDA Classifiers for the P300 Speller, Proc. of the 13th International Conference on Human-Computer Interaction, 2009. [pdf]
  19. DJ Krusienski, G Townsend, EW Sellers, Amplitude Quantization of Event Related Potentials, Proc. of the 4th International IEEE EMBS Conference on Neural Engineering, 2009. [pdf]
  20. DJ Krusienski and BZ Allison, Harmonic Coupling of Steady-State Visual Evoked Potentials, Proc. of the 30th International IEEE EMBS Conference, August 2008. [pdf]
  21. C Radhakrishnan, DJ Krusienski, WK Jenkins, Low Power Adaptive Filters Based on a Combination of Genetic Optimization and Residue Number System Coding, Proc. of the 41st Asilomar Conf. on Signals, Systems, and Computers, 2007. [pdf]
  22. C Radhakrishnan, DJ Krusienski, WK Jenkins, Adaptive Filters Realized with Nano-scale VLSI Circuit Technology, Proc. of the 50th Annual IEEE MWSCAS, 2007. [pdf]
  23. DJ Krusienski, EW Sellers, TM Vaughan, Common Spatio-temporal Patterns for the P300 Speller, Proc. of the 3rd International IEEE EMBS Conference on Neural Engineering, 2007. [pdf]
  24. DJ Krusienski, DJ McFarland, JR Wolpaw, An Evaluation of Autoregressive Spectral Estimation Model Order For Brain-Computer Interfaces, Proc. of the 28th International IEEE EMBS Conference, August 2006. [pdf]
  25. DJ Krusienski, and WK Jenkins, A Modified Particle Swarm Algorithm for Adaptive Filtering, Proc. of the 2006 ISCAS, May 2006. [pdf]
  26. S Pal, DJ Krusienski, and WK Jenkins, Structured Stochastic Optimization Strategies for Problems with Ill-conditioned Error Surfaces, Proc. of the 2005 ISCAS, May 2005. [pdf]
  27. DJ Krusienski, G Schalk, DJ McFarland, JR Wolpaw, Tracking of the Mu Rhythm using an Empirically Derived Matched Filter, Proc. of the 2nd International IEEE EMBS Conference on Neural Engineering, March 2005. [pdf]
  28. DJ Krusienski and WK Jenkins, Nonparametric Density Estimation Based Independent Component Analysis via Particle Swarm Optimization, Proc. of the 2005 ICASSP, March 2005. [pdf]
  29. DJ Krusienski and WK Jenkins, A Particle Swarm Optimization-Least Mean Squares Algorithm for Adaptive Filtering, Proc. of the 38th Asilomar Conf. on Signals, Systems, and Computers, November 2004. [pdf]
  30. DJ Krusienski and W.K. Jenkins, Particle Swarm Optimization for Adaptive IIR Filter Structures, Proc. of the 2004 Congress on Evolutionary Computation, June 2004. [pdf]
  31. DJ Krusienski and WK Jenkins, The Application of Particle Swarm Optimization to Adaptive IIR Phase Equalization, Proc. of the 2004 ICASSP, May 2004. [pdf]
  32. DJ Krusienski and WK Jenkins, Adaptive Filtering Via Particle Swarm Optimization, Proc. of the 37th Asilomar Conf. on Signals, Systems, and Computers, November 2003. [pdf]
  33. S Pai, WK Jenkins, and DJ Krusienski, Adaptive IIR Phase Equalizers Based on Stochastic Search Algorithms, Proc. of the 37th Asilomar Conf. on Signals, Systems, and Computers, November 2003. [pdf]
  34. V Hegde, C Radhakrishnan, DJ Krusienski, and WK Jenkins, Architectures and Algorithms for Nonlinear Adaptive Filters, Proc. of the 36th Asilomar Conf. on Signals, Systems, and Computers, November 2002. [pdf]
  35. V Hegde, C Radhakrishnan, DJ Krusienski, and WK Jenkins, Series-Cascade Nonlinear Adaptive Filters, Proc. of the 45th Annual IEEE MWSCAS, August 2002. [pdf]
  36. DJ Krusienski and WK Jenkins, Comparative Analysis of Neural Network Filters and Adaptive Volterra Filters, Proc. of the 44th Annual IEEE MWSCAS, August 2001. [pdf]

ASPEN  Lab
Old Dominion University
2117 Engineering Systems Building
Norfolk, VA 23529

Dr. Dean Krusienski
Director
(757) 683-3752
dkrusien@odu.edu