Inter-individual similarities and variations in muscle forces acting on the ankle joint during gait

被引:7
作者
Blazkiewicz, Michalina [1 ]
Wiszomirska, Ida [1 ]
Kaczmarczyk, Katarzyna [1 ]
Naemi, Roozbeh [2 ]
Wit, Andrzej [1 ]
机构
[1] Jozef Pilsudski Univ Phys Educ, Fac Rehabil, Marymoncka 34, PL-00968 Warsaw, Poland
[2] Staffordshire Univ, Fac Hlth Sci, Leek Rd, Stoke On Trent, Staffs, England
关键词
Ankle joint; Musculoskeletal model; Force generation; Gait analysis; Simulation; DYNAMIC SIMULATIONS; HUMAN WALKING; BIOMECHANICS; MOVEMENT; EMG; WORK;
D O I
10.1016/j.gaitpost.2017.07.119
中图分类号
Q189 [神经科学];
学科分类号
071006 ;
摘要
Muscle forces acting over the ankle joint play an important role in the forward progression of the body during gait. Yet despite the importance of ankle muscle forces, direct in-vivo measurements are neither possible nor practical. This makes musculoskeletal simulation useful as an indirect technique to quantify the muscle forces at work during locomotion. The purpose of this study was to: 1) identify the maximum peaks of individual ankle muscle forces during gait; 2) investigate the order over which the muscles are sorted based on their maximum peak force. Three-dimensional kinematics and ground reaction forces were measured during the gait of 10 healthy subjects, and the data so obtained were input into the musculoskeletal model distributed with the OpenSim software. In all 10 individuals we observed that the soleus muscle generated the greatest strength both in dynamic (1856.1N) and isometric (3549N) conditions, followed by the gastrocnemius in dynamic conditions (1232.5N). For all other muscles, however, the sequence looks different across subjects, so the k-means clustering method was used to obtain one main order over which the muscles' peak-forces are sorted. The results indicate a common theme, with some variations in the maximum peaks of ankle muscle force across subjects.
引用
收藏
页码:166 / 170
页数:5
相关论文
共 28 条
[1]  
Anderson FRANK C., 1999, Comput Methods Biomech Biomed Engin, V2, P201, DOI 10.1080/10255849908907988
[2]  
[Anonymous], 1992, GAIT ANAL NORMAL PAT
[3]   A survey of fuzzy clustering algorithms for pattern recognition - Part II [J].
Baraldi, A ;
Blonda, P .
IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS, 1999, 29 (06) :786-801
[4]   Assessment of lower leg muscle force distribution during isometric ankle dorsi and plantar flexion in patients with diabetes: a preliminary study [J].
Blazkiewicz, Michalina ;
Sundar, Lakshmi ;
Healy, Aoife ;
Ramachandran, Ambady ;
Chockalingam, Nachiappan ;
Naemi, Roozbeh .
JOURNAL OF DIABETES AND ITS COMPLICATIONS, 2015, 29 (02) :282-287
[5]   Muscle force distribution during forward and backward locomotion [J].
Blazkiewicz, Michalina .
ACTA OF BIOENGINEERING AND BIOMECHANICS, 2013, 15 (03) :3-9
[6]   Determination of ankle muscle power in normal gait using an EMG-to-force processing approach [J].
Bogey, R. A. ;
Gitter, A. J. ;
Barnes, L. A. .
JOURNAL OF ELECTROMYOGRAPHY AND KINESIOLOGY, 2010, 20 (01) :46-54
[7]  
Carhart M.R., 2000, BIOMECHANICAL ANAL C
[8]  
Delp S.L., 1990, SURG SIMULATION COMP
[9]   OpenSim: open-source software to create and analyze dynamic Simulations of movement [J].
Delp, Scott L. ;
Anderson, Frank C. ;
Arnold, Allison S. ;
Loan, Peter ;
Habib, Ayman ;
John, Chand T. ;
Guendelman, Eran ;
Thelen, Darryl G. .
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, 2007, 54 (11) :1940-1950
[10]  
Donelan JM, 2002, J EXP BIOL, V205, P3717