Human Neuromuscular Physiology Laboratory

Human Neuromuscular Physiology Laboratory

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Research Interests

We aim to identify the neural/mechanical interventions and underlying mechanisms for improving motor skills and facilitating motor learning/rehabilitation using integrative approaches. We examine neural activity, motor output (e.g., neural excitability, muscle activity, and limb/hand movement), and memory with various interventions in young and old individuals including clinical populations (e.g., amputees, stroke survivors).

Key words: Neuroscience, Neural Engineering, Human Augmentation, Human-Robot Interaction, Rehabilitation, Sport Science


Research Opportunities

Open to students who are interested in conducting research multiple semesters


Research Projects

Neuromechanical Mechanisms for Motor Skills

  • Autonomic nervous system and neuromotor activity
  • Modulations of neuromotor oscillations
  • Human-Robot interaction
  • Assessment of finger movement

Neural Plasticity with Practice

  • Improvement of human-machine interaction
  • Facilitation of motor learning and rehabilitation

Human Augmentation

  • Wearable robot

Lab News

  • Awarded an NIH grant (August, 2018).
  • Symposium Speaker on Ultrasound Elastgoraphy at International Society of Electrophysiology and Kinesiology (July, 2018).
  • Ellenor’s study on automatic analysis of ultrasound shear-wave elastography in skeletal muscle is published (April, 2018).
  • International collaborative study on Finger Training Robot is published in the upcoming special issue of “Neuromechanis of Fine Hand Motor Tasks” in the Journal of Electromyography and Kinesiology (February, 2018).
  • Collaborative study with engineers on ultrasound-based prosthetic finger control featured in Georgia Tech News, interviewed by IEEE Spectrum, and listed as one of the Best Medical Technologies of 2017 by Medgadjet (December, 2017). See YouTube Video.
  • Nayef passed his proposal (December, 2017).
  • Shino’s invited commentary “Active Voice: Fight Between Your Muscles – Beat Common Drive for Steady Cocontraction” published in Sports Medicine Bulletin from the American College of Sports Medicine (October, 2017).

  • Georgia Center for Medical Robotics has launched, in which Dr. Shino is involved (August, 2017).
  • Ellenor completed her dissertation (August, 2017).
  • Nayef’s study featured as “Mind Over Muscles: How the Brain Hinders Individual Muscle Control” in Georgia Tech News (June, 2017)

  • International collaborative study on unpowered sensorimotor-enhancing suit has been accepted for publication in IEEE Transactions on Human Machine Systems (April 2017).

 


Select Publications

      • Brown E, Yoshitake Y, Shinohara M, Ueda J. Automatic analysis of ultrasound shear-wave elastography in skeletal muscle without non-contractile tissue contamination. International Journal of Intelligent Robotics and Applications. 2: 209-225, 2018.
      • Koppenhaver S, Kniss J, Lilley D, Oats M, Fernandez C, Maher R, Croy T, Shinohara M. Reliability of ultrasound shear-wave elastography in assessing low back musculature elasticity in asymptomatic individuals. Journal of Electromyography and Kinesiology 39:49-57, 2018.
      • Yoshitake Y, Ikeda A, Shinohara M. Robotic finger perturbation training improves finger postural steadiness and hand dexterity. Journal of Electromyography and Kinesiology 38:208-214, 2018.
      • Ahmar NE, Shinohara M. Slow intermuscular oscillations are associated with cocontraction steadiness. Medicine & Science in Sports & Exercise, 49: 1955–1964, 2017.
      • Kim E, Kovalenko I, Lacey I, Shinohara M, Ueda J. Timing analysis of robotic neuromodulatory rehabilitation system for paired associative stimulation. IEEE Robotics and Automation Letters 1 : 1028-1035, 2016.
      • Weinberg L, Hasni A, Shinohara M, Duarte A. A single bout of resistance exercise can enhance episodic memory performance. Acta Psychologica 153:13-19, 2014.
      • Buharin VE, Butler AJ, Shinohara M. Motor cortical disinhibition with baroreceptor unloading induced by orthostatic stress. Journal of Neurophysiology 111:2656-2664, 2014.
      • Kurita Y, Shinohara M, Ueda J. Wearable sensorimotor enhancer for fingertip using stochastic resonance effect. IEEE Transactions on Human-Machine Systems 43:333-337, 2013.
      • Buharin VE, Butler AJ, Rajendra JK, Shinohara M. Enhanced corticospinal excitability with physiologically heightened sympathetic nerve activity. Journal of Applied Physiology 114:429-435, 2013.
      • Johnson AN, Shinohara M. Corticomuscular coherence with and without additional task in the elderly. Journal of Applied Physiology 112:970-981, 2012.
      • Johnson AN, Huo X, Ghovanloo M, Shinohara M. Dual-task motor performance with a tongue-operated assistive technology compared with hand operations. Journal of NeuroEngineering and Rehabilitation 9:1, 2012.