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Chaithanya K. Mummidisetty
Researcher at Rehabilitation Institute of Chicago
Publications - 47
Citations - 996
Chaithanya K. Mummidisetty is an academic researcher from Rehabilitation Institute of Chicago. The author has contributed to research in topics: Population & Gait training. The author has an hindex of 14, co-authored 42 publications receiving 605 citations. Previous affiliations of Chaithanya K. Mummidisetty include University of Illinois at Chicago & University of Miami.
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Journal ArticleDOI
Effects of a wearable exoskeleton stride management assist system (SMA®) on spatiotemporal gait characteristics in individuals after stroke: a randomized controlled trial.
Carolyn Buesing,Gabriela Fisch,Megan O’Donnell,Ida Shahidi,Lauren Thomas,Chaithanya K. Mummidisetty,Kenton J. Williams,Hideaki Takahashi,William Z. Rymer,Arun Jayaraman +9 more
TL;DR: SMA and FTST interventions provided similar, significant improvements in spatiotemporal gait parameters; however, the SMA group showed additional improvements across more parameters at various time points.
Journal ArticleDOI
Primary motor and premotor cortex in implicit sequence learning--evidence for competition between implicit and explicit human motor memory systems.
Shailesh S. Kantak,Shailesh S. Kantak,Chaithanya K. Mummidisetty,James W. Stinear,James W. Stinear +4 more
TL;DR: The results support the notion of competition between implicit and explicit motor memory systems and identify underlying neural substrates that are engaged in this competition and the role of M1 in implementing online performance gains and offline stabilization for implicit motor sequence learning.
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Locomotor training improves premotoneuronal control after chronic spinal cord injury.
TL;DR: Evidence is provided that locomotor training improves premotoneuronal control after SCI in humans at rest and during walking and potentiated homosynaptic depression in all participants regardless the type of the SCI.
Journal ArticleDOI
Stride management assist exoskeleton vs functional gait training in stroke: A randomized trial.
Arun Jayaraman,Megan K. O’Brien,Sangeetha Madhavan,Chaithanya K. Mummidisetty,Heidi Roth,Kristen Hohl,Annie Tapp,Kimberly Brennan,Masha Kocherginsky,Kenton J. Williams,Hideaki Takahashi,William Z. Rymer +11 more
TL;DR: This study provides Class I evidence that gait training with a hip-assistive robotic exoskeleton increases clinical outcomes and CME in persons with chronic stroke, but does not significantly improve walking speeds compared to intensity-matched functional gaitTraining.
Journal ArticleDOI
Activity Recognition for Persons With Stroke Using Mobile Phone Technology: Toward Improved Performance in a Home Setting
Megan K. O’Brien,Nicholas Shawen,Chaithanya K. Mummidisetty,Saninder Kaur,Xiao Bo,Christian Poellabauer,Konrad P. Kording,Arun Jayaraman,Arun Jayaraman +8 more
TL;DR: Stoke-based training data is needed for high quality AR among gait-impaired individuals with stroke, and AR systems for home and community monitoring would likely benefit from including at-home activities in the training data.