Lower-Limb Joint Torque Prediction Using LSTM Neural Networks and Transfer Learning

Estimation of joint torque during movement provides important information in several settings, such as effect of athletes' training or of a medical intervention, or analysis of the remaining muscle strength in a wearer of an assistive device. The ability to estimate joint torque during daily ac...

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Vydáno v:	IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING Ročník 30; s. 600 - 609
Hlavní autoři:	Zhang, Longbin, Soselia, Davit, Wang, Ruoli, Gutierrez-Farewik, Elena M.
Médium:	Journal Article Publikace
Jazyk:	angličtina
Vydáno:	United States IEEE 2022 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:	Ankle Ankle Joint Athletes Biomechanical Phenomena Electromyography generalizability Humans inverse dynamics Joints (anatomy) Knee Joint Learning Long short-term memory Lower Extremity LSTM Machine Learning Mean square errors Muscle strength Muscles Neural networks Neural Networks, Computer Performance prediction Plantar flexion Predictive models Root-mean-square errors Task analysis time series Torque Training Transfer learning
ISSN:	1534-4320, 1558-0210, 1558-0210
On-line přístup:	Získat plný text
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