Literature DB >> 27845664

The Time-Varying Nature of Electromechanical Delay and Muscle Control Effectiveness in Response to Stimulation-Induced Fatigue.

Ryan J Downey, Manelle Merad, Eric J Gonzalez, Warren E Dixon.   

Abstract

Neuromuscular electrical stimulation (NMES) and Functional Electrical Stimulation (FES) are commonly prescribed rehabilitative therapies. Closed-loop NMES holds the promise to yield more accurate limb control, which could enable new rehabilitative procedures. However, NMES/FES can rapidly fatigue muscle, which limits potential treatments and presents several control challenges. Specifically, the stimulation intensity-force relation changes as the muscle fatigues. Additionally, the delayed response between the application of stimulation and muscle force production, termed electromechanical delay (EMD), may increase with fatigue. This paper quantifies these effects. Specifically, open-loop fatiguing protocols were applied to the quadriceps femoris muscle group of able-bodied individuals under isometric conditions, and the resulting torque was recorded. Short pulse trains were used to measure EMD with a thresholding method while long duration pulse trains were used to induce fatigue, measure EMD with a cross-correlation method, and construct recruitment curves. EMD was found to increase significantly with fatigue, and the control effectiveness (i.e., the linear slope of the recruitment curve) decreased with fatigue. Outcomes of these experiments indicate an opportunity for improved closed-loop NMES/FES control development by considering EMD to be time-varying and by considering the muscle recruitment curve to be a nonlinear, time-varying function of the stimulation input.

Entities:  

Mesh:

Year:  2016        PMID: 27845664     DOI: 10.1109/TNSRE.2016.2626471

Source DB:  PubMed          Journal:  IEEE Trans Neural Syst Rehabil Eng        ISSN: 1534-4320            Impact factor:   3.802


  5 in total

1.  A Modified Dynamic Surface Controller for Delayed Neuromuscular Electrical Stimulation.

Authors:  Naji Alibeji; Nicholas Kirsch; Brad E Dicianno; Nitin Sharma
Journal:  IEEE ASME Trans Mechatron       Date:  2017-05-16       Impact factor: 5.303

2.  Evaluating Muscle Activation Models for Elbow Motion Estimation.

Authors:  Tyler Desplenter; Ana Luisa Trejos
Journal:  Sensors (Basel)       Date:  2018-03-28       Impact factor: 3.576

3.  Lactate production without hypoxia in skeletal muscle during electrical cycling: Crossover study of femoral venous-arterial differences in healthy volunteers.

Authors:  Jan Gojda; Petr Waldauf; Natália Hrušková; Barbora Blahutová; Adéla Krajčová; Tomáš Urban; Petr Tůma; Kamila Řasová; František Duška
Journal:  PLoS One       Date:  2019-03-01       Impact factor: 3.240

4.  Association Between Neuromuscular Variables and Graft Harvest in Soft Tissue Quadriceps Tendon Versus Bone-Patellar Tendon-Bone Anterior Cruciate Ligament Autografts.

Authors:  Michael Letter; Andrew Beauperthuy; Rosalia L Parrino; Kevin Posner; Michael G Baraga; Thomas M Best; Lee D Kaplan; Moataz Eltoukhy; Keri L Strand; Andrew Buskard; Joseph F Signorile
Journal:  Orthop J Sports Med       Date:  2021-10-21

5.  Closed-Loop Torque and Kinematic Control of a Hybrid Lower-Limb Exoskeleton for Treadmill Walking.

Authors:  Chen-Hao Chang; Jonathan Casas; Steven W Brose; Victor H Duenas
Journal:  Front Robot AI       Date:  2022-01-20
  5 in total

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