K Englehart

Summary

Affiliation: University of New Brunswick
Country: Canada

Publications

  1. ncbi request reprint A robust, real-time control scheme for multifunction myoelectric control
    Kevin Englehart
    Department of Biomedical Engineering, University of New Brunswick, 25 Dineen Drive, Fredericton, NB E3B5A3, Canada
    IEEE Trans Biomed Eng 50:848-54. 2003
  2. ncbi request reprint Classification of the myoelectric signal using time-frequency based representations
    K Englehart
    Institute of Biomedical Engineering, University of New Brunswick, Fredericton, Canada
    Med Eng Phys 21:431-8. 1999
  3. ncbi request reprint A wavelet-based continuous classification scheme for multifunction myoelectric control
    K Englehart
    Department of Electrical and Computer Engineering and the Institute of Biomedical Engineering, University of New Brunswick, Fredericton, Canada
    IEEE Trans Biomed Eng 48:302-11. 2001
  4. ncbi request reprint A control system for a powered prosthesis using positional and myoelectric inputs from the shoulder complex
    Y Losier
    Institute of Biomedical Engineering, University of New Brunswick, Fredericton, NB Canada
    Conf Proc IEEE Eng Med Biol Soc 2007:6138-41. 2007
  5. ncbi request reprint Principal components analysis preprocessing to reduce controller delays in pattern recognition based myoelectric control
    L Hargrove
    Institute of Biomedical Engineering, University of New Brunswick, Fredericton, NB Canada
    Conf Proc IEEE Eng Med Biol Soc 2007:6512-5. 2007
  6. ncbi request reprint The effect of electrode displacements on pattern recognition based myoelectric control
    L Hargrove
    Inst of Biomed Eng, New Brunswick Univ, Fredericton, NB, Canada
    Conf Proc IEEE Eng Med Biol Soc 1:2203-6. 2006
  7. ncbi request reprint Myoelectric signal processing for control of powered limb prostheses
    P Parker
    Institute of Biomedical Engineering, Department of Electrical and Computer Engineering, University of New Brunswick, 15 Dineen Drive, P O Box 4400, Fredericton, NB, Canada E3B 5A3
    J Electromyogr Kinesiol 16:541-8. 2006
  8. ncbi request reprint Myo-electric signals to augment speech recognition
    A D Chan
    Institute of Biomedical Engineering, University of New Brunswick, Fredericton, Canada
    Med Biol Eng Comput 39:500-4. 2001
  9. ncbi request reprint Pattern recognition of single and combined motions from the shoulder complex
    V R Buerkle
    Inst of Biomed Eng, New Brunswick Univ, Fredericton, NB, Canada
    Conf Proc IEEE Eng Med Biol Soc 1:3419-22. 2006
  10. ncbi request reprint A real-time pattern recognition based myoelectric control usability study implemented in a virtual environment
    L Hargrove
    Institute of Biomedical Engineering, University of New Brunswick, Fredericton, NB Canada
    Conf Proc IEEE Eng Med Biol Soc 2007:4842-5. 2007

Collaborators

Detail Information

Publications17

  1. ncbi request reprint A robust, real-time control scheme for multifunction myoelectric control
    Kevin Englehart
    Department of Biomedical Engineering, University of New Brunswick, 25 Dineen Drive, Fredericton, NB E3B5A3, Canada
    IEEE Trans Biomed Eng 50:848-54. 2003
    ..Finally, minimal storage capacity is required, which is an important factor in embedded control systems...
  2. ncbi request reprint Classification of the myoelectric signal using time-frequency based representations
    K Englehart
    Institute of Biomedical Engineering, University of New Brunswick, Fredericton, Canada
    Med Eng Phys 21:431-8. 1999
    ....
  3. ncbi request reprint A wavelet-based continuous classification scheme for multifunction myoelectric control
    K Englehart
    Department of Electrical and Computer Engineering and the Institute of Biomedical Engineering, University of New Brunswick, Fredericton, Canada
    IEEE Trans Biomed Eng 48:302-11. 2001
    ..Although in its preliminary stages of development, this scheme promises a more natural and efficient means of myoelectric control than one based on discrete, transient bursts of activity...
  4. ncbi request reprint A control system for a powered prosthesis using positional and myoelectric inputs from the shoulder complex
    Y Losier
    Institute of Biomedical Engineering, University of New Brunswick, Fredericton, NB Canada
    Conf Proc IEEE Eng Med Biol Soc 2007:6138-41. 2007
    ..This work is another important step in the development of hybrid systems that will enable simultaneous control of multiple degrees of freedom used for reaching tasks in a prosthetic limb...
  5. ncbi request reprint Principal components analysis preprocessing to reduce controller delays in pattern recognition based myoelectric control
    L Hargrove
    Institute of Biomedical Engineering, University of New Brunswick, Fredericton, NB Canada
    Conf Proc IEEE Eng Med Biol Soc 2007:6512-5. 2007
    ..This tunes the pattern recognition classifier to better discriminate the test motions. Using this preprocessing step, MES analysis windows may be cut from 256 ms to 128 ms without affecting the classification accuracy...
  6. ncbi request reprint The effect of electrode displacements on pattern recognition based myoelectric control
    L Hargrove
    Inst of Biomed Eng, New Brunswick Univ, Fredericton, NB, Canada
    Conf Proc IEEE Eng Med Biol Soc 1:2203-6. 2006
    ..The effects of electrode displacement can be mitigated by using a training set of data which consists of patterns detected over a range of plausible displacement locations to train the control system...
  7. ncbi request reprint Myoelectric signal processing for control of powered limb prostheses
    P Parker
    Institute of Biomedical Engineering, Department of Electrical and Computer Engineering, University of New Brunswick, 15 Dineen Drive, P O Box 4400, Fredericton, NB, Canada E3B 5A3
    J Electromyogr Kinesiol 16:541-8. 2006
    ..The paper demonstrates that considerable progress has been made in providing clients with useful and reliable myoelectric communication channels, and that exciting work and developments are on the horizon...
  8. ncbi request reprint Myo-electric signals to augment speech recognition
    A D Chan
    Institute of Biomedical Engineering, University of New Brunswick, Fredericton, Canada
    Med Biol Eng Comput 39:500-4. 2001
    ..7% and 10.4%. The results demonstrate that there is excellent potential for using surface myo-electric signals to enhance the performance of a conventional speech-recognition system...
  9. ncbi request reprint Pattern recognition of single and combined motions from the shoulder complex
    V R Buerkle
    Inst of Biomed Eng, New Brunswick Univ, Fredericton, NB, Canada
    Conf Proc IEEE Eng Med Biol Soc 1:3419-22. 2006
    ..However, as the level of limb loss increases so does the need for functional replacement. This study investigates pattern recognition concepts for independent control of an artificial shoulder...
  10. ncbi request reprint A real-time pattern recognition based myoelectric control usability study implemented in a virtual environment
    L Hargrove
    Institute of Biomedical Engineering, University of New Brunswick, Fredericton, NB Canada
    Conf Proc IEEE Eng Med Biol Soc 2007:4842-5. 2007
    ..Additionally, results indicate that a clinically-supported classifier training approach (inclusion of the transient potion of contraction signals) may reduce classification accuracy but increase real-time performance...
  11. doi request reprint Improved phoneme-based myoelectric speech recognition
    Quan Zhou
    Institute of Biomedical Engineering, University of New Brunswick, Fredericton, NB E3B 5A3, Canada
    IEEE Trans Biomed Eng 56:2016-23. 2009
    ..An average word classification accuracy of 98.533% is achieved over six subjects. The system offers dramatically improved accuracy when expanding a vocabulary, offering promise for robust large-vocabulary myoelectric speech recognition...
  12. ncbi request reprint A comparison of surface and intramuscular myoelectric signal classification
    Levi J Hargrove
    Institute of Biomedical Engineering, Department of Electrical and Computer Engineering, University of New Brunswick, P O Box 4400, Fredericton, NB E3B 5A3, Canada
    IEEE Trans Biomed Eng 54:847-53. 2007
    ..Impressive classification accuracy (97%) could be achieved by optimally selecting only three channels of surface MES...
  13. ncbi request reprint A novel simulation model for the motor unit innervation process
    Ning Jiang
    Institute of Biomedical Engineering, and Department of Electrical and Computer Engineering, University of New Brunswick, Canada
    Conf Proc IEEE Eng Med Biol Soc 3:2993-6. 2005
    ..Some simulation results are presented and possible extensions of the model are discussed...
  14. ncbi request reprint The Motor Unit Innervation Process Correlation and Its Effects on EMG Applications
    Ning Jiang
    Institute of Biomedical Engineering, Department of Electrical and Computer Engineering, University of New Brunswick, Canada
    Conf Proc IEEE Eng Med Biol Soc 4:4239-42. 2005
    ..Simulation results show that MUIP correlation may compromise the assumption of uncorrelated MUAPTs (depending on recruitment level), and MUIP correlation has a downwards spectrum compression effect on the power spectrum of EMG...
  15. doi request reprint Improving myoelectric pattern recognition positional robustness using advanced training protocols
    E Scheme
    Institute of Biomedical Engineering at the University of New Brunswick, Fredericton, NB, Canada
    Conf Proc IEEE Eng Med Biol Soc 2011:4828-31. 2011
    ..It is shown that training with dynamic activities can greatly improve positional robustness for both static and dynamic tasks, without requiring a complex and lengthy training session...
  16. doi request reprint Examining the adverse effects of limb position on pattern recognition based myoelectric control
    E Scheme
    Institute of Biomedical Engineering at the University of New Brunswick, Fredericton, Canada
    Conf Proc IEEE Eng Med Biol Soc 2010:6337-40. 2010
    ..In this work, we demonstrate that variations in limb position after training can have a substantial impact on the robustness of myoelectric pattern recognition...
  17. ncbi request reprint Hidden Markov model classification of myoelectric signals in speech
    A D C Chan
    Institute of Biomedical Engineering, Department of Electrical and Computer Engineering, University of New Brunswick, Canada
    IEEE Eng Med Biol Mag 21:143-6. 2002