Search Results - "Reinkensmeyer, David J"

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  1. 1

    Review of control strategies for robotic movement training after neurologic injury by Marchal-Crespo, Laura, Reinkensmeyer, David J

    “…There is increasing interest in using robotic devices to assist in movement training following neurologic injuries such as stroke and spinal cord injury. This…”
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  2. 2

    JNER at 15 years: analysis of the state of neuroengineering and rehabilitation by Reinkensmeyer, David J

    “…On JNER's 15th anniversary, this editorial analyzes the state of the field of neuroengineering and rehabilitation. I first discuss some ways that the nature of…”
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  3. 3

    Breaking Proportional Recovery After Stroke by Senesh, Merav R., Reinkensmeyer, David J.

    Published in Neurorehabilitation and neural repair (01-11-2019)
    “…People with hemiparesis after stroke appear to recover 70% to 80% of the difference between their baseline and the maximum upper extremity Fugl-Meyer (UEFM)…”
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  4. 4

    A Standardized Approach to the Fugl-Meyer Assessment and Its Implications for Clinical Trials by See, Jill, Dodakian, Lucy, Chou, Cathy, Chan, Vicky, McKenzie, Alison, Reinkensmeyer, David J., Cramer, Steven C.

    Published in Neurorehabilitation and neural repair (01-10-2013)
    “…Background. Standardizing scoring reduces variability and increases accuracy. A detailed scoring and training method for the Fugl-Meyer motor assessment (FMA)…”
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  5. 5

    Real-Time Sensing of Upper Extremity Movement Diversity Using Kurtosis Implemented on a Smartwatch by Cornella-Barba, Guillem, Okita, Shusuke, Li, Zheng, Reinkensmeyer, David J

    Published in Sensors (Basel, Switzerland) (14-08-2024)
    “…Wearable activity sensors typically count movement quantity, such as the number of steps taken or the number of upper extremity (UE) counts achieved. However,…”
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  6. 6

    Movement Diversity and Complexity Increase as Arm Impairment Decreases After Stroke: Quality of Movement Experience as a Possible Target for Wearable Feedback by Okita, Shusuke, Schwerz de Lucena, Diogo, Reinkensmeyer, David J.

    “…Upper extremity (UE) impairment is common after stroke resulting in reduced arm use in daily life. A few studies have examined the use of wearable feedback of…”
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  7. 7

    Magnetically Counting Hand Movements: Validation of a Calibration-Free Algorithm and Application to Testing the Threshold Hypothesis of Real-World Hand Use after Stroke by Schwerz de Lucena, Diogo, Rowe, Justin, Chan, Vicky, Reinkensmeyer, David J

    Published in Sensors (Basel, Switzerland) (22-02-2021)
    “…There are few wearable sensors suitable for daily monitoring of wrist and finger movements for hand-related healthcare applications. Here, we describe the…”
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  8. 8

    Computational neurorehabilitation: modeling plasticity and learning to predict recovery by Reinkensmeyer, David J, Burdet, Etienne, Casadio, Maura, Krakauer, John W, Kwakkel, Gert, Lang, Catherine E, Swinnen, Stephan P, Ward, Nick S, Schweighofer, Nicolas

    “…Despite progress in using computational approaches to inform medicine and neuroscience in the last 30 years, there have been few attempts to model the…”
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  9. 9

    Effects of robotically modulating kinematic variability on motor skill learning and motivation by Duarte, Jaime E, Reinkensmeyer, David J

    Published in Journal of neurophysiology (01-04-2015)
    “…It is unclear how the variability of kinematic errors experienced during motor training affects skill retention and motivation. We used force fields produced…”
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  10. 10

    Facilitating limb movement after stroke by Reinkensmeyer, David J., Farrens, Andria J., Kamper, Derek G.

    Published in Nature medicine (01-03-2023)
    “…Epidural spinal cord stimulation improved upper limb function in two participants after stroke, revealing a potentially exciting new tool for stroke recovery…”
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  11. 11

    Robotic Assistance for Training Finger Movement Using a Hebbian Model: A Randomized Controlled Trial by Rowe, Justin B., Chan, Vicky, Ingemanson, Morgan L., Cramer, Steven C., Wolbrecht, Eric T., Reinkensmeyer, David J.

    Published in Neurorehabilitation and neural repair (01-08-2017)
    “…Background. Robots that physically assist movement are increasingly used in rehabilitation therapy after stroke, yet some studies suggest robotic assistance…”
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  12. 12

    Counting Finger and Wrist Movements Using Only a Wrist-Worn, Inertial Measurement Unit: Toward Practical Wearable Sensing for Hand-Related Healthcare Applications by Okita, Shusuke, Yakunin, Roman, Korrapati, Jathin, Ibrahim, Mina, Schwerz de Lucena, Diogo, Chan, Vicky, Reinkensmeyer, David J

    Published in Sensors (Basel, Switzerland) (01-06-2023)
    “…The ability to count finger and wrist movements throughout the day with a nonobtrusive, wearable sensor could be useful for hand-related healthcare…”
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  13. 13

    The Manumeter: A Wearable Device for Monitoring Daily Use of the Wrist and Fingers by Friedman, Nizan, Rowe, Justin B., Reinkensmeyer, David J., Bachman, Mark

    “…Nonobtrusive options for monitoring the wrist and hand movement are needed for stroke rehabilitation and other applications. This paper describes the…”
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  14. 14

    A Dynamic Wheelchair Armrest for Promoting Arm Exercise and Mobility After Stroke by Comellas, Marti, Chan, Vicky, Zondervan, Daniel K., Reinkensmeyer, David J.

    “…Arm movement recovery after stroke can improve with sufficient exercise. However, rehabilitation therapy sessions are typically not enough. To address the need…”
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  15. 15

    Design and Preliminary Evaluation of a Soft Finger Exoskeleton Controlled by Isometric Grip Force by Sanders, Quentin, Reinkensmeyer, David J.

    Published in Machines (Basel) (01-04-2024)
    “…Hand exoskeletons are potential solutions for enhancing upper extremity function after stroke, yet achieving intuitive control remains challenging. We recently…”
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  16. 16

    Optimizing Compliant, Model-Based Robotic Assistance to Promote Neurorehabilitation by Wolbrecht, Eric T., Chan, Vicky, Reinkensmeyer, David J., Bobrow, James E.

    “…Based on evidence from recent experiments in motor learning and neurorehabilitation, we hypothesize that three desirable features for a controller for…”
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  17. 17

    Providing Real-Time Wearable Feedback to Increase Hand Use after Stroke: A Randomized, Controlled Trial by Schwerz de Lucena, Diogo, Rowe, Justin B., Okita, Shusuke, Chan, Vicky, Cramer, Steven C., Reinkensmeyer, David J.

    Published in Sensors (Basel, Switzerland) (01-09-2022)
    “…After stroke, many people substantially reduce use of their impaired hand in daily life, even if they retain even a moderate level of functional hand ability…”
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    effect of haptic guidance, aging, and initial skill level on motor learning of a steering task by Marchal-Crespo, Laura, McHughen, Stephanie, Cramer, Steven C, Reinkensmeyer, David J

    Published in Experimental brain research (01-03-2010)
    “…In a previous study, we found that haptic guidance from a robotic steering wheel can improve short-term learning of steering of a simulated vehicle, in…”
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  20. 20

    Motor Adaptation as a Greedy Optimization of Error and Effort by Emken, Jeremy L, Benitez, Raul, Sideris, Athanasios, Bobrow, James E, Reinkensmeyer, David J

    Published in Journal of neurophysiology (01-06-2007)
    “…1 Mechanical and Aerospace Engineering Department and 2 Biomedical Engineering Department, University of California, Irvine, California; and 3 Automatic…”
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