Analysis of muscle coordination in human pedaling and implementation with a musculoskeletal robot

2012 ◽  
Author(s):  
Takanori Oku ◽  
Keita Inoue ◽  
T. T. Hang Pham ◽  
Kenta Tominaga ◽  
Daisuke Maeda ◽  
...  
Keyword(s):  
Muscle Coordination ◽  
Musculoskeletal Robot

scholarly journals Muscle Coordination Control for an Asymmetrically Antagonistic-Driven Musculoskeletal Robot Using Attractor Selection

2018 ◽  
Vol 2018 ◽  
pp. 1-10
Author(s):  
Shoichiro Ide ◽  
Atsushi Nishikawa
Keyword(s):  
Position Control ◽  
Control Method ◽  
Control Model ◽  
Muscle Coordination ◽  
Human Beings ◽  
Coordination Control ◽  
Living Things ◽  
Antagonistic Muscle ◽  
Musculoskeletal Robot ◽  
Attractor Selection

Recently, numerous musculoskeletal robots have been developed to realize the flexibility and dexterity analogous to human beings and animals. However, because the arrangement of many actuators is complex, the design of the control system for the robot is difficult and challenging. We believe that control methods inspired by living things are important in the development of the control systems for musculoskeletal robots. In this study, we propose a muscle coordination control method using attractor selection, a biologically inspired search method, for an antagonistic-driven musculoskeletal robot in which various muscles (monoarticular muscles and a polyarticular muscle) are arranged asymmetrically. First, muscle coordination control models for the musculoskeletal robot are built using virtual antagonistic muscle structures with a virtually symmetric muscle arrangement. Next, the attractor selection is applied to the control model and subsequently applied to the previous control model without muscle coordination to compare the control model’s performance. Finally, position control experiments are conducted, and the effectiveness of the proposed muscle coordination control and the virtual antagonistic muscle structure is evaluated.

Decomposition of Limb Movement Based on Muscular Coordination During Human Running

2011 ◽  
Vol 15 (8) ◽  
pp. 980-987 ◽  
Author(s):  
Taiki Iimura ◽  
◽  
Keita Inoue ◽  
Hang T. T. Pham ◽  
Hiroaki Hirai ◽  
...  
Keyword(s):  
Motor Function ◽  
Degrees Of Freedom ◽  
Principal Component ◽  
Point Of View ◽  
Muscle Coordination ◽  
Antagonist Muscles ◽  
Agonist And Antagonist ◽  
Musculoskeletal Robot ◽  
Agonist And Antagonist Muscles ◽  
Human Running

The study of decomposing movement into units of motor function is evolving in neuroscience. Meanwhile, in robotics, there is a problem with redundant Degrees Of Freedom (DOF) in the motor control of humanlike robots. We attempt to achieve fewer-DOF control of a human-like musculoskeletal robot by using our knowledge of the units of motor function. In this paper, we introduce “the agonist-antagonistmuscle pairs (A-A) ratio” and “A-A activity,” which are defined by using ElectroMyoGraphic (EMG) data and which describe the coordination between the agonist and antagonist muscles. Human running is decomposed into two units of motor function from the point of view of muscle coordination using Principal Component Analysis (PCA) of these biological signals. The kinematic meanings of the extracted patterns of muscle coordination are visualized by human-like musculoskeletal leg robot.

scholarly journals Balance and motion coordination parameters can be improved in patients with type 2 diabetes with physical balance training: non-randomized controlled trial

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Artur Stolarczyk ◽  
Igor Jarzemski ◽  
Bartosz M. Maciąg ◽  
Kuba Radzimowski ◽  
Maciej Świercz ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Peripheral Neuropathy ◽  
Balance Control ◽  
Balance Training ◽  
Control Group ◽  
Study Group ◽  
Muscle Coordination ◽  
Risk Of Falling ◽  
Increased Risk

Abstract Background Type 2 diabetes (T2D) is a cause of multiple complications, including retinopathy and peripheral neuropathy. These complications are well understood and believed to contribute to gait instability. Poor balance control and increased falling risk have also been reported in people with diabetic peripheral neuropathy (DPN). Patients with DPN have increased risk of falling due to decreased proprioceptive feedback. Effective balance training should improve postural control in patients with DPN. For this purpose further evaluation was conducted and balance training was designed. Methods The goal of our study was to determine values of proprioception, balance, muscle coordination and strength in patients with T2D and analyze whether biofeedback balance training with use of the Biodex Balance System could improve these parameters. To assess the fall risk the general stability index (GSI), the index of frontal-posterior (FPI) and medial–lateral (MLI) stability were evaluated. 37 patients with diagnosed type 2 diabetes mellitus were recruited to this study. Their results were compared with control group consisting of 41 healthy participants who were homogenic to the study group in terms of age and body mass index (BMI). Results There were statistically significant differences between patients with diabetes compared to healthy subjects in GSI (2.79 vs 1.1), FPI (1.66 vs 0.7), MLI (0.88 vs 0.52) and risk of falling (5.18 vs 2.72) p < 0.05. There were also statistically significant changes before and after training in all stability indices (GSI: 2.79 vs 1.26, FPI: 1.66 vs 0.77, MLI: 0.88 vs 0.54 accordingly) p < 0.05 and risk of falling (5.18 vs 3.87) p < 0.05 in the study group who had undergone training with biofeedback. Conclusions This study found that there is a decreased balance and motor coordination and an increased risk of falling in patients with type 2 diabetes. These parameters improved in patients who have undergone training programme with biofeedback. Furthermore, an age-dependent deprivation of static balance was observed along with an increased risk of falling as a result of increasing BMI.

scholarly journals Are there sex differences in muscle coordination of the upper girdle during a sustained motor task?

2019 ◽  
Vol 45 ◽  
pp. 1-10 ◽  
Author(s):  
Marina Machado Cid ◽  
Ana Beatriz Oliveira ◽  
Leticia Bergamin Januario ◽  
Julie N. Côté ◽  
Roberta de Fátima Carreira Moreira ◽  
...  
Keyword(s):  
Sex Differences ◽  
Motor Task ◽  
Muscle Coordination

Patterns of muscle coordination during stepping responses post-stroke

2015 ◽  
Vol 25 (6) ◽  
pp. 959-965 ◽  
Author(s):  
V.L. Gray ◽  
C.L. Pollock ◽  
J.M. Wakeling ◽  
T.D. Ivanova ◽  
S.J. Garland
Keyword(s):  
Muscle Coordination ◽  
Post Stroke
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