Joint Kinematics, Kinetics and Muscle Synergy Patterns During Transitions Between Locomotion Modes

被引:10
作者
Liu, Yi-Xing [1 ]
Gutierrez-Farewik, Elena M. [1 ,2 ]
机构
[1] KTH Royal Inst Technol, Dept Engn Mech, KTH MoveAbil Lab, S-11428 Stockholm, Sweden
[2] Karolinska Inst, Dept Womens & Childrens Hlth, KTH MoveAbil Lab, Stockholm, Sweden
基金
瑞典研究理事会;
关键词
Muscles; Force; Legged locomotion; Electromyography; Stairs; Task analysis; Kinetic theory; Biomechanics; intent recognition; and locomotion modes; EXOSKELETONS; EMG; PREDICTION; MOVEMENT; FORCE; GAIT; KNEE;
D O I
10.1109/TBME.2022.3208381
中图分类号
R318 [生物医学工程];
学科分类号
0831 ;
摘要
There is an increasing demand for accurately predicting human movement intentions. To be effective, predictions must be performed as early as possible in the preceding step, though precisely how early has been studied relatively little; how and when a person's movement patterns in a transition step deviate from those in the preceding step must be clearly defined. In this study, we collected motion kinematics, kinetics and electromyography data from 9 able-bodied participants during 7 locomotion modes. Twelve types of steps between the 7 locomotion modes were studied, including 5 continuous steps (taking another step in the same locomotion mode) and 7 transitions steps (taking a step from one locomotion mode into another). For each joint degree of freedom, joint angles, angular velocities, moments, and moment rates were compared between continuous steps and transition steps, and the relative timing during the transition step at which these parameters diverged from those of a continuous step, which we refer to as transition starting times, were identified using multiple analyses of variance. Muscle synergies were also extracted for each step, and we studied in which locomotion modes these synergies were common (task-shared) and in which modes they were specific (task-specific). The transition starting times varied among different transitions and joint degrees of freedom. Most transitions started in the swing phase of the transition step. These findings can be applied to determine the critical timing at which a powered assistive device must adapt its control to enable safe and comfortable support to a user.
引用
收藏
页码:1062 / 1071
页数:10
相关论文
共 42 条
[1]   A Method for Locomotion Mode Identification Using Muscle Synergies [J].
Afzal, Taimoor ;
Iqbal, Kamran ;
White, Gannon ;
Wright, Andrew B. .
IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING, 2017, 25 (06) :608-617
[2]   Evaluation of Synergy Extrapolation for Predicting Unmeasured Muscle Excitations from Measured Muscle Synergies [J].
Ao, Di ;
Shourijeh, Mohammad S. ;
Patten, Carolynn ;
Fregly, Benjamin J. .
FRONTIERS IN COMPUTATIONAL NEUROSCIENCE, 2020, 14
[3]   Prediction of human voluntary movement before it occurs [J].
Bai, Ou ;
Rathi, Varun ;
Lin, Peter ;
Huang, Dandan ;
Battapady, Harsha ;
Fei, Ding-Yu ;
Schneider, Logan ;
Houdayer, Elise ;
Chen, Xuedong ;
Hallett, Mark .
CLINICAL NEUROPHYSIOLOGY, 2011, 122 (02) :364-372
[4]   Muscle Synergies for Turning During Human Walking [J].
Choi, Yoonjin ;
Kim, Yushin ;
Kim, Minhee ;
Yoon, BumChul .
JOURNAL OF MOTOR BEHAVIOR, 2019, 51 (01) :1-9
[5]   Common muscle synergies for balance and walking [J].
Chvatal, Stacie A. ;
Ting, Lena H. .
FRONTIERS IN COMPUTATIONAL NEUROSCIENCE, 2013, 7
[6]   Common muscle synergies for control of center of mass and force in nonstepping and stepping postural behaviors [J].
Chvatal, Stacie A. ;
Torres-Oviedo, Gelsy ;
Safavynia, Seyed A. ;
Ting, Lena H. .
JOURNAL OF NEUROPHYSIOLOGY, 2011, 106 (02) :999-1015
[7]   Shared and specific muscle synergies in natural motor behaviors [J].
d'Avella, A ;
Bizzi, E .
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2005, 102 (08) :3076-3081
[8]   Combinations of muscle synergies in the construction of a natural motor behavior [J].
d'Avella, A ;
Saltiel, P ;
Bizzi, E .
NATURE NEUROSCIENCE, 2003, 6 (03) :300-308
[9]   Lower extremity exoskeletons and active orthoses: Challenges and state-of-the-art [J].
Dollar, Aaron M. ;
Herr, Hugh .
IEEE TRANSACTIONS ON ROBOTICS, 2008, 24 (01) :144-158
[10]   Experimental Validation of Motor Primitive-Based Control for Leg Exoskeletons during Continuous Multi-Locomotion Tasks [J].
Garate, Virginia Ruiz ;
Parri, Andrea ;
Yan, Tingfang ;
Munih, Marko ;
Lova, Raffaele Molino ;
Vitiello, Nicola ;
Ronsse, Renaud .
FRONTIERS IN NEUROROBOTICS, 2017, 11 :1-17