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Gail Forrest

Associate Director
Department of Physical Medicine and Rehabilitation 
Kessler Foundation
United States of America

Biography

Gail F Forrest, Ph.D., associate director of Human Performance and Movement Analysis Research at Kessler Foundation, is also Assistant Professor, Department of Physical Medicine and Rehabilitation at Rutgers – New Jersey Medical School. As a postdoctoral fellow at Kessler Foundation Research Center in 2002, Dr Forrest was awarded grant funding by the New Jersey Commission on Spinal Cord Injury (SCI) Research to investigate locomotor training (LT) using body weight support with manual assistance for individuals after Incomplete SCI. Over the last 6 years Dr Forrest has continued to receive state and federal funded grants concentrating on the neuroplasticity, improvement in secondary consequences and restoration of function for individuals after SCI. She has presented and published extensively in the area of neuroplasticity and musculoskeletal changes for individuals after SCI.

Research Interest

Dr Forrest has other key interests in the area of biomechanics as related to modeling algorithms for under standing control mechanisms in upper extremity (i.e. arm reaching after stroke), and postural control during locomotion. All her areas of research are ultimately focused towards the improvement of functional mobility

Publications

  • Pilkar, R. B., Yarossi, M., & Forrest, G. (2012, August). Empirical mode decomposition as a tool to remove the function electrical stimulation artifact from surface electromyograms: Preliminary investigation. In Engineering in Medicine and Biology Society (EMBC), 2012 Annual International Conference of the IEEE (pp. 1847-1850). IEEE.

  • Pilkar, Rakesh B., Mathew Yarossi, and Gail Forrest. "Empirical mode decomposition as a tool to remove the function electrical stimulation artifact from surface electromyograms: Preliminary investigation." In Engineering in Medicine and Biology Society (EMBC), 2012 Annual International Conference of the IEEE, pp. 1847-1850. IEEE, 2012.

  • Pilkar, Rakesh B., Mathew Yarossi, and Gail Forrest. "Empirical mode decomposition as a tool to remove the function electrical stimulation artifact from surface electromyograms: Preliminary investigation." Engineering in Medicine and Biology Society (EMBC), 2012 Annual International Conference of the IEEE. IEEE, 2012.

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