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Raviraj Nataraj; Musa L. Audu, PhD; Ronald J. Triolo, PhD

Center of mass acceleration feedback control of functional neuromuscular stimulation for standing in presence of internal postural perturbations. Raviraj Nataraj; Musa L. Audu, PhD; Ronald J. Triolo, PhD. Aim

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Raviraj Nataraj; Musa L. Audu, PhD; Ronald J. Triolo, PhD

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  1. Center of mass acceleration feedback control of functional neuromuscular stimulation for standing in presence of internal postural perturbations Raviraj Nataraj; Musa L. Audu, PhD; Ronald J. Triolo, PhD

  2. Aim • Evaluate center of mass (COM) acceleration feedback control of neuroprosthesis with functional neuromuscular stimulation (FNS) to restore standing balance to subject with spinal cord injury. • Relevance • Neuroprosthesis users maintain balance by postural corrections with upper-limb (UL) loads on assistive device or support surface (e.g., walker, countertop). • This can compromise utility of standing with FNS by limiting functional use of hands and arms.

  3. Methods • Created artificial neural network to map gain-modulated changes in total body COM acceleration estimated from body-mounted sensors to optimal changes in stimulation required to maintain standing. • Systematically tuned feedback gains to minimize UL loads applied by subject to instrumented support device during internally generated postural perturbations produced by volitional reaching and object manipulation.

  4. Subject with spinal cord injury undergoing internal perturbations by volitionally moving object over level surface with one arm while stabilizing with other arm.

  5. Results • Total body COM acceleration was accurately estimated (>90% variance explained) from 3-D accelerometers mounted on pelvis and torso. • Compared with clinical constant muscle stimulation, COM acceleration feedback control of stimulation improved standing performance by reducing UL loading required to resist internal postural disturbances by 27%.

  6. Conclusions • This case study suggests that COM acceleration feedback could be advantageous in standing neuroprosthesis. • Can be implemented with only a few feedback parameters. • Requires minimal instrumentation for comprehensive 3-D control of dynamic standing function.

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