Search Results - "Hargrove, Levi J."

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  1. 1

    Dry EEG measurement of P3 to evaluate cognitive load during sitting, standing, and walking by Swerdloff, Margaret M, Hargrove, Levi J

    Published in PloS one (06-07-2023)
    “…Combining brain imaging with dual-task paradigms provides a quantitative, direct metric of cognitive load that is agnostic to the motor task. This work aimed…”
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  2. 2

    Generating synthetic gait patterns based on benchmark datasets for controlling prosthetic legs by Kim, Minjae, Hargrove, Levi J

    “…Abstract Background Prosthetic legs help individuals with an amputation regain locomotion. Recently, deep neural network (DNN)-based control methods, which…”
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  3. 3

    Adapting myoelectric control in real-time using a virtual environment by Woodward, Richard B, Hargrove, Levi J

    “…Pattern recognition technology allows for more intuitive control of myoelectric prostheses. However, the need to collect electromyographic data to initially…”
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  4. 4

    Determining the Optimal Window Length for Pattern Recognition-Based Myoelectric Control: Balancing the Competing Effects of Classification Error and Controller Delay by Smith, Lauren H., Hargrove, Levi J., Lock, Blair A., Kuiken, Todd A.

    “…Pattern recognition-based control of myoelectric prostheses has shown great promise in research environments, but has not been optimized for use in a clinical…”
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  5. 5

    Subject- and Environment-Based Sensor Variability for Wearable Lower-Limb Assistive Devices by Krausz, Nili E, Hu, Blair H, Hargrove, Levi J

    Published in Sensors (Basel, Switzerland) (08-11-2019)
    “…Significant research effort has gone towards the development of powered lower limb prostheses that control power during gait. These devices use forward…”
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  6. 6

    Intent Recognition in a Powered Lower Limb Prosthesis Using Time History Information by Young, Aaron J., Simon, Ann M., Fey, Nicholas P., Hargrove, Levi J.

    Published in Annals of biomedical engineering (01-03-2014)
    “…New computerized and powered lower limb prostheses are being developed that enable amputees to perform multiple locomotion modes. However, current lower limb…”
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  7. 7

    Configuring a powered knee and ankle prosthesis for transfemoral amputees within five specific ambulation modes by Simon, Ann M, Ingraham, Kimberly A, Fey, Nicholas P, Finucane, Suzanne B, Lipschutz, Robert D, Young, Aaron J, Hargrove, Levi J

    Published in PloS one (10-06-2014)
    “…Lower limb prostheses that can generate net positive mechanical work may restore more ambulation modes to amputees. However, configuration of these devices…”
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  8. 8

    A gait phase prediction model trained on benchmark datasets for evaluating a controller for prosthetic legs by Kim, Minjae, Hargrove, Levi J

    Published in Frontiers in neurorobotics (05-01-2023)
    “…Powered lower-limb assistive devices, such as prostheses and exoskeletons, are a promising option for helping mobility-impaired individuals regain functional…”
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  9. 9

    Myoelectric prosthesis hand grasp control following targeted muscle reinnervation in individuals with transradial amputation by Simon, Ann M, Turner, Kristi L, Miller, Laura A, Dumanian, Gregory A, Potter, Benjamin K, Beachler, Mark D, Hargrove, Levi J, Kuiken, Todd A

    Published in PloS one (26-01-2023)
    “…Despite the growing availability of multifunctional prosthetic hands, users' control and overall functional abilities with these hands remain limited. The…”
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  10. 10
  11. 11

    Evaluating EMG Feature and Classifier Selection for Application to Partial-Hand Prosthesis Control by Adewuyi, Adenike A, Hargrove, Levi J, Kuiken, Todd A

    Published in Frontiers in neurorobotics (19-10-2016)
    “…Pattern recognition-based myoelectric control of upper-limb prostheses has the potential to restore control of multiple degrees of freedom. Though this control…”
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  12. 12

    Joint speed feedback improves myoelectric prosthesis adaptation after perturbed reaches in non amputees by Earley, Eric J., Johnson, Reva E., Sensinger, Jonathon W., Hargrove, Levi J.

    Published in Scientific reports (04-03-2021)
    “…Accurate control of human limbs involves both feedforward and feedback signals. For prosthetic arms, feedforward control is commonly accomplished by recording…”
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  13. 13

    Multiple Binary Classifications via Linear Discriminant Analysis for Improved Controllability of a Powered Prosthesis by Hargrove, Levi J., Scheme, Erik J., Englehart, Kevin B., Hudgins, Bernard S.

    “…This paper describes a novel pattern recognition based myoelectric control system that uses parallel binary classification and class specific thresholds. The…”
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  14. 14

    Wrist speed feedback improves elbow compensation and reaching accuracy for myoelectric transradial prosthesis users in hybrid virtual reaching task by Earley, Eric J, Johnson, Reva E, Sensinger, Jonathon W, Hargrove, Levi J

    “…Myoelectric prostheses are a popular choice for restoring motor capability following the loss of a limb, but they do not provide direct feedback to the user…”
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  15. 15

    Applying LDA-based pattern recognition to predict isometric shoulder and elbow torque generation in individuals with chronic stroke with moderate to severe motor impairment by Kopke, Joseph V, Hargrove, Levi J, Ellis, Michael D

    “…Abnormal synergy is a major stroke-related movement impairment that presents as an unintentional contraction of muscles throughout a limb. The flexion synergy,…”
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  16. 16

    A Comparison of Pattern Recognition Control and Direct Control of a Multiple Degree-of-Freedom Transradial Prosthesis by Kuiken, Todd A., Miller, Laura A., Turner, Kristi, Hargrove, Levi J.

    “…With existing conventional prosthesis control (direct control), individuals with a transradial amputation use two opposing muscle groups to control each…”
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  17. 17

    Principal Components Analysis Preprocessing for Improved Classification Accuracies in Pattern-Recognition-Based Myoelectric Control by Hargrove, Levi J., Li, Guanglin, Englehart, Kevin B., Hudgins, Bernard S.

    “…Information extracted from multiple channels of the surface myoelectric signal (MES) recording sites can be used as inputs to control systems for powered upper…”
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  18. 18

    Adaptation to random and systematic errors: Comparison of amputee and non-amputee control interfaces with varying levels of process noise by Johnson, Reva E, Kording, Konrad P, Hargrove, Levi J, Sensinger, Jonathon W

    Published in PloS one (16-03-2017)
    “…The objective of this study was to understand how people adapt to errors when using a myoelectric control interface. We compared adaptation across 1)…”
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  19. 19

    Resolving the effect of wrist position on myoelectric pattern recognition control by Adewuyi, Adenike A, Hargrove, Levi J, Kuiken, Todd A

    “…The use of pattern recognition-based methods to control myoelectric upper-limb prostheses has been well studied in individuals with high-level amputations but…”
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  20. 20

    Dual Window Pattern Recognition Classifier for Improved Partial-Hand Prosthesis Control by Earley, Eric J, Hargrove, Levi J, Kuiken, Todd A

    Published in Frontiers in neuroscience (23-02-2016)
    “…Although partial-hand amputees largely retain the ability to use their wrist, it is difficult to preserve wrist motion while using a myoelectric partial-hand…”
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