TY - GEN
T1 - Quantifying neuromuscular rehabilitation using a muscle performance time-constant
AU - Karkera, Nidhi
AU - Ramanarayanan, Shilpa
AU - Mujumdar, Radhika
AU - Hostler, David
AU - Stefanovic, Filip
N1 - Publisher Copyright: © 2019 IEEE.
PY - 2019/5/16
Y1 - 2019/5/16
N2 - In this study we demonstrate the development of a muscle performance metric to facilitate neurorehabilitation. The muscle performance metric measures the change in power of muscle activity over time as repetitive exercise is performed. It will be demonstrated that a time-constant can be constructed to measure progress of muscle activity based on the exercise. We will present herein that this metric is consistent with an exercise and can be used to predict outcomes. We propose that this muscle performance metric can be used to optimize therapeutic interventions and to design user-specific performance targets based on exercise strategies.
AB - In this study we demonstrate the development of a muscle performance metric to facilitate neurorehabilitation. The muscle performance metric measures the change in power of muscle activity over time as repetitive exercise is performed. It will be demonstrated that a time-constant can be constructed to measure progress of muscle activity based on the exercise. We will present herein that this metric is consistent with an exercise and can be used to predict outcomes. We propose that this muscle performance metric can be used to optimize therapeutic interventions and to design user-specific performance targets based on exercise strategies.
UR - https://www.scopus.com/pages/publications/85066766290
U2 - 10.1109/NER.2019.8717151
DO - 10.1109/NER.2019.8717151
M3 - Conference contribution
T3 - International IEEE/EMBS Conference on Neural Engineering, NER
SP - 593
EP - 596
BT - 9th International IEEE EMBS Conference on Neural Engineering, NER 2019
PB - IEEE Computer Society
T2 - 9th International IEEE EMBS Conference on Neural Engineering, NER 2019
Y2 - 20 March 2019 through 23 March 2019
ER -