Q. Zhang, W. Clark, J. Franz, and N. Sharma, “Personalized Fusion of Ultrasound and Electromyography-derived Neuromuscular Features Increases Prediction Accuracy of Ankle Moment during Plantarflexion,” Biomedical Signal Processing and Control, accepted
Q. Zhang, A. Iyer, Z. Sun, K. Kim, and N. Sharma, “A Dual-modal Approach Using Electromyography and Sonomyography Improves Prediction of Dynamic Ankle Movement: A Case Study,” IEEE Transactions on Neural System and Rehabilitation Engineering, accepted.
Q. Zhang, A. Iyer, K. Lambeth, K. Kim, and N. Sharma, “Ultrasound Echogenicity-based Assessment of Muscle Fatigue During Functional Electrical Stimulation,” 43rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2021, accepted.
Q. Zhang, N. Fragnito, A. Myers, and N. Sharma, ” Plantarflexion Moment Prediction during the Walking Stance Phase with an sEMG-Ultrasound Imaging-Driven Model,” 43rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2021, accepted.
X. Bao, Z. Sheng, and N. Sharma, “A Tube-based Model Predictive Control Method for Sharing Control Inputs in a Hybrid Neuroprosthesis,” IROS workshop on Assistance and Service Robotics in a Human Environment, Vancouver, 2017.
X Bao, V. Molazadeh, A. Dodson, N. Sharma. “Model Predictive Control-Based Knee Actuator Allocation During a Standing-Up Motion with a Powered Exoskeleton and Functional Electrical Stimulation.” Advances in Motor Neuroprostheses. Springer Cham. 2020. 89-100.
JC Moreno, S Mohammed, N Sharma, AJ del-Ama. “Hybrid Wearable Robotic Exoskeletons for Human Walking.” Wearable Robotics. Academic Press. 2020. 347-364.
N. Sharma and N. Kirsch. “Modeling and Dynamic Optimization of a hybrid Neuroprosthesis for Gait Restoration.” Human Modeling for Bio-Inspired Robotics. Ed. Jun Ueda, Yuichi Kurita. Elsevier, 2016.