Changes in corticospinal excitability during bilateral and unilateral lower-limb force control tasks

2020 ◽  
Vol 238 (9) ◽  
pp. 1977-1987
Author(s):  
Akiko Yamaguchi ◽  
Atsushi Sasaki ◽  
Yohei Masugi ◽  
Matija Milosevic ◽  
Kimitaka Nakazawa
2021 ◽  
pp. 147395
Author(s):  
F. Proessl ◽  
M.E. Beckner ◽  
A.M. Sinnott ◽  
S.R. Eagle ◽  
A.D. LaGoy ◽  
...  

2017 ◽  
Vol 105 ◽  
pp. 183-190 ◽  
Author(s):  
A.P.P.A. Majeed ◽  
Z. Taha ◽  
A.F.Z. Abidin ◽  
M.A. Zakaria ◽  
I.M. Khairuddina ◽  
...  

Author(s):  
Shan Chen ◽  
Tenghui Han ◽  
Fangfang Dong ◽  
Lei Lu ◽  
Haijun Liu ◽  
...  

Lower limb exoskeleton which augments the human performance is a wearable human–machine integrated system used to assist people carrying heavy loads. Recently, underactuated lower limb exoskeleton systems with some passive joints become more and more attractive due to the advantages of smaller weight, lower system energy consumption and lower cost. However, because of the less of control inputs, the existed control methods of fully actuated exoskeletons cannot be extended to underactuated systems, which makes the robust controller design of underactuated lower limb exoskeletons becomes more challenged. This article focuses on the high-performance human–machine interaction force control design of underactuated lower limb exoskeletons with passive ankle joint. In order to solve the reduction of control inputs, the holonomic constraint from the wearer is considered, which help transform the dynamics of 3-degree-of-freedom underactuated exoskeleton in joint space into a 2-degree-of-freedom fully actuated system in Cartesian space. A two-level interaction force controller using adaptive robust control algorithm is proposed to effectively address the negative effect of various model uncertainties and external disturbances. In order to facilitate the control parameter selection, a gain tuning method is also presented. Comparative simulations are carried out, which indicate that the proposed two-level interaction force controller achieves smaller interaction force and better robust performance to various modeling errors and disturbances.


Author(s):  
Felix Proessl ◽  
Maria C. Canino ◽  
Meaghan E. Beckner ◽  
William R. Conkright ◽  
Alice D. LaGoy ◽  
...  

Simulated military operational stress (SMOS) provides a useful model to better understand resilience in humans as the stress associated with caloric restriction, sleep deficits, and fatiguing exertion degrades physical and cognitive performance. Habitual physical activity may confer resilience against these stressors by promoting favorable use-dependent neuroplasticity, but it is unclear how physical activity, resilience, and corticospinal excitability (CSE) relate during SMOS. PURPOSE: To examine associations between corticospinal excitability, physical activity, and physical performance during SMOS. METHODS: Fifty-three service members (age: 26±5yrs, 13 women) completed a five day and night intervention composed of familiarization, baseline, SMOS (two nights/days), and recovery days. During SMOS, participants performed rigorous physical and cognitive activities while receiving half of normal sleep (two 2h blocks) and caloric requirements. Lower and upper limb CSE were determined with transcranial magnetic stimulation (TMS) stimulus-response curves. Self-reported resilience, physical activity, military-specific physical performance (TMT) and endocrine factors were compared in individuals with high (HIGH) and low CSE based on a median split of lower limb CSE at baseline. RESULTS: HIGH had greater physical activity and better TMT performance throughout SMOS. Both groups maintained physical performance despite substantial psychophysiological stress. Physical activity, resilience, and TMT performance were directly associated with lower limb CSE. CONCLUSION: Individual differences in physical activity coincide with lower (but not upper) limb CSE. Such use-dependent corticospinal excitability directly relates to resilience and physical performance during SMOS. Future studies may use non-invasive neuromodulation to clarify the interplay among CSE, physical activity, and resilience and improve physical and cognitive performance.


2012 ◽  
Vol 8 (1) ◽  
pp. 427-432
Author(s):  
Zhi-Yong Tang ◽  
Zhen-Zhong Tan ◽  
Ming-Yi Yang ◽  
Zhong-Cai Pei

2015 ◽  
Vol 738-739 ◽  
pp. 991-994
Author(s):  
Fu Cheng Cao ◽  
Hong Wu Qin

Human as a varying dynamic system, the control strategies of human-robot interacts differ significantly from that of conventional industrial robot. Considered the patient-centered exercise regimens, a force control method based predict is presented to control a lower limb rehabilitation robot. The control law is introduced that optimises the the maintained force level and limits excessive forceto injury the subject's lower extremity joints. Simulation results show that the robot could guide thelower limb of subjects to move under predefined model of the external force.


2018 ◽  
Vol 51 (3) ◽  
pp. 331-341 ◽  
Author(s):  
Chiaki Ohtaka ◽  
Motoko Fujiwara
Keyword(s):  

2018 ◽  
Vol 26 ◽  
pp. 399-408
Author(s):  
Yupeng Zou ◽  
Huizi Ma ◽  
Zhiyuan Han ◽  
Yang Song ◽  
Kai Liu

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