Muscle Synergies Facilitate Computational Prediction of Subject-specific Walking Motions
Researchers have explored a variety of neurorehabilitation approaches to restore normal walking function following a stroke. However, there is currently no objective means for prescribing and implementing treatments that are likely to maximize recovery of walking function for any particular patient....
Main Authors: | Andrew J Meyer, Ilan Eskinazi, Jennifer N Jackson, Anil V Rao, Carolynn Patten, Benjamin J Fregly |
---|---|
Format: | Article |
Language: | English |
Published: |
Frontiers Media S.A.
2016-10-01
|
Series: | Frontiers in Bioengineering and Biotechnology |
Subjects: | |
Online Access: | http://journal.frontiersin.org/Journal/10.3389/fbioe.2016.00077/full |
Similar Items
-
Computational evaluation of psoas muscle influence on walking function following internal hemipelvectomy with reconstruction
by: Marleny M. Vega, et al.
Published: (2022-09-01) -
EMG-driven musculoskeletal model calibration with estimation of unmeasured muscle excitations via synergy extrapolation
by: Di Ao, et al.
Published: (2022-09-01) -
Evaluation of Synergy Extrapolation for Predicting Unmeasured Muscle Excitations from Measured Muscle Synergies
by: Di Ao, et al.
Published: (2020-12-01) -
Feasibility of Markerless Motion Capture for Three-Dimensional Gait Assessment in Community Settings
by: Theresa E. McGuirk, et al.
Published: (2022-06-01) -
Editorial: Advances in Musculoskeletal Modeling and Their Application to Neurorehabilitation
by: Mohammad S. Shourijeh, et al.
Published: (2020-10-01)