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Archives of Physical Medicine and Rehabilitation|December 21, 2020
Fear of Falling, Community Participation, and Quality of Life Among Community-Dwelling People Who Use Wheelchairs Full TimeJongHun Sung, Sa Shen, Elizabeth W Peterson, et al.Disability and Rehabilitation. Assistive Technology|May 18, 2022
Smartphone-based gait and balance assessment in survivors of stroke: a systematic reviewJoseph Peters, Libak Abou, Ellyce Wong, et al.Disability and Rehabilitation|August 14, 2024
Development, reliability, and validity assessment of a fall concerns scale for people who use wheelchairs and scooters (FCS-WC/S)Sahel Moein, Elizabeth W Peterson, Anders Kottorp, et al.Multiple Sclerosis and Related Disorders|April 19, 2021
Smartphone applications to assess gait and postural control in people with multiple sclerosis: A systematic reviewLibak Abou, Ellyce Wong, Joseph Peters, et al.Spinal Cord|July 18, 2021
The effectiveness of vigorous training on cardiorespiratory fitness in persons with spinal cord injury: a systematic review and meta-analysisJoseph Peters, Libak Abou, Laura A Rice, et al.Topics in Spinal Cord Injury Rehabilitation|July 13, 2018
Reliability and Validity of the Revised Transfer Assessment InstrumentLynn A Worobey, Christina K Zigler, Randall Huzinec, et al.Multiple Sclerosis and Related Disorders|June 18, 2022
Prediction of future falls among full-time wheelchair and scooter users with multiple sclerosis: A prospective studyLibak Abou, Jacob J Sosnoff, Elizabeth W Peterson, et al.Journal of Medical Systems|August 15, 2021
Gait and Balance Assessments using Smartphone Applications in Parkinson's Disease: A Systematic ReviewLibak Abou, Joseph Peters, Ellyce Wong, et al.International Journal of Rehabilitation Research. Internationale Zeitschrift Fur Rehabilitationsforschung. Revue Internationale De Recherches De Readaptation|July 22, 2016
Reliability and validity of the function in sitting test in nonambulatory individuals with multiple sclerosisJongHun Sung, Cherita M Ousley, Sa Shen, et al.Assistive Technology : the Official Journal of RESNA|February 7, 2023
Fall detection from a manual wheelchair: preliminary findings based on accelerometers using machine learning techniquesLibak Abou, Alexander Fliflet, Peter Presti, et al.Pageof 8