Chaithanya Krishna Mummidisetty (Chaithanya K Mummidisetty, Arun Jayaraman)

Scopus Author ID Loop profile ORCID

Publication Activity (10 Years)

Years Active: 2017-2022
Publications (10 Years): 9

Top Venues

JMIR mHealth and uHealth

Disability and rehabilitation. Assistive technology

Bioengineering (Basel, Switzerland)

Journal of medical Internet research

Rehabilitation Institute of Chicago

University of Miami (MSC)

This page only lists publications with an associated author ORCID identifier.

Affiliation History

Rehabilitation Institute of Chicago Jul 13 2009

United States

Research Engineer-III :: Center for Bionic Medicine

Education History

University of Miami Jan 07 2007 - May 15 2009

United States

MSC :: Biomedical Engineering

Osmania University Oct 29 2001 - Jun 15 2005

India

BSC :: Biomedical Engineering

Publications

Thasina Tabashum, Ting Xiao, Chandrasekaran Jayaraman, Chaithanya Krishna Mummidisetty, Arun Jayaraman, Mark V Albert
Autoencoder Composite Scoring to Evaluate Prosthetic Performance in Individuals with Lower Limb Amputation. Bioengineering (Basel, Switzerland) 9 (10) (2022)
Shenan Hoppe-Ludwig, Jodi Armitage, Kristi L Turner, Megan K O'Brien, Chaithanya K Mummidisetty, Lori McGee Koch, Masha Kocherginsky, Chaithanya Krishna Mummidisetty
Usability, functionality, and efficacy of a custom myoelectric elbow-wrist-hand orthosis to assist elbow function in individuals with stroke. Journal of rehabilitation and assistive technologies engineering 8 (2021)
Xiaoyue Ni, Wei Ouyang, Hyoyoung Jeong, Jin-Tae Kim, Andreas Tzaveils, Ali Mirzazadeh, Changsheng Wu, Jong Yoon Lee, Matthew Keller, Chaithanya Krishna Mummidisetty, Manish J Patel, Nicholas Shawen, Joy Huang, Hope Chen, Sowmya Ravi, Jan-Kai Chang, KunHyuck Lee, Yixin Wu, Ferrona Lie, Youn J Kang, Jong Uk Kim, Leonardo P Chamorro, Anthony R Banks, Ankit Bharat, Arun Jayaraman, Shuai Xu, John A Rogers
Automated, multiparametric monitoring of respiratory biomarkers and vital signs in clinical and home settings for COVID-19 patients. Proceedings of the National Academy of Sciences of the United States of America 118 (19) (2021)
Dominique L Kinnett-Hopkins, Chaithanya Krishna Mummidisetty, Linda S Ehrlich-Jones, Deborah Crown, Rachel A Bond, Marc H Applebaum, Arun Jayaraman, Catherine L Furbish, Gail Forrest, Edelle Carmen Field-Fote, Allen Walter Heinemann
Users with spinal cord injury experience of robotic Locomotor exoskeletons: a qualitative study of the benefits, limitations, and recommendations. Journal of neuroengineering and rehabilitation 17 (1) (2020)
Allen Walter Heinemann, Dominique L Kinnett-Hopkins, Chaithanya Krishna Mummidisetty, Rachel A Bond, Linda S Ehrlich-Jones, Catherine L Furbish, Edelle Carmen Field-Fote, Arun Jayaraman
Appraisals of robotic locomotor exoskeletons for gait: focus group insights from potential users with spinal cord injuries. Disability and rehabilitation. Assistive technology 15 (7) (2020)
Arun Jayaraman, Megan K O'Brien, Sangeetha Madhavan, Chaithanya Krishna Mummidisetty, Heidi R Roth, Kristen Hohl, Annie Tapp, Kimberly Brennan, Masha Kocherginsky, Kenton J Williams, Hideaki Takahashi, William Z Rymer
Stride management assist exoskeleton vs functional gait training in stroke: A randomized trial. Neurology 92 (3) (2018)
Megan K O'Brien, Nicholas Shawen, Chaithanya Krishna Mummidisetty, Saninder Kaur, Xiao Bo, Christian Poellabauer, Konrad Paul Kording, Arun Jayaraman
Activity Recognition for Persons With Stroke Using Mobile Phone Technology: Toward Improved Performance in a Home Setting. Journal of medical Internet research 19 (5) (2017)
Nicholas Shawen, Luca Lonini, Chaithanya Krishna Mummidisetty, Ilona Shparii, Mark V Albert, Konrad Paul Kording, Arun Jayaraman
Fall Detection in Individuals With Lower Limb Amputations Using Mobile Phones: Machine Learning Enhances Robustness for Real-World Applications. JMIR mHealth and uHealth 5 (10) (2017)
Nicholas Shawen, Luca Lonini, Chaithanya Krishna Mummidisetty, Ilona Shparii, Mark V Albert, Konrad Paul Kording, Arun Jayaraman
Addendum of: Fall Detection in Individuals With Lower Limb Amputations Using Mobile Phones: Machine Learning Enhances Robustness for Real-World Applications. JMIR mHealth and uHealth 5 (12) (2017)

Chaithanya Krishna Mummidisetty.css-eqlu8i{font-size:small;padding-left:4px;} (Chaithanya K Mummidisetty, Arun Jayaraman)

Publication Activity (10 Years)

Top Topics

Top Venues

Chaithanya Krishna Mummidisetty (Chaithanya K Mummidisetty, Arun Jayaraman)