Unconstrained muscle-tendon workloops indicate resonance tuning as a mechanism for elastic limb behavior during terrestrial locomotion

Edited by Andrew A. Biewener, Harvard University, Bedford, MA, and accepted by the Editorial Board September 3, 2015 (received for review January 26, 2015)
October 12, 2015
112 (43) E5891-E5898

Significance

The fields of terrestrial biomechanics and bio-inspired robotics have identified spring-like limb mechanics as critical to stable and efficient gait. In biological systems, distal muscle groups cycling large amounts of energy in series tendons are a primary source of compliance. To investigate the origins of this behavior, we coupled a biological muscle-tendon to a feedback controlled servomotor simulating the inertial/gravitational environment of terrestrial gait. We drove this bio-robotic system via direct nerve stimulation across a range of frequencies to explore the influence of neural control on muscle-tendon interactions. This study concluded that by matching stimulation frequency to that of the passive biomechanical system, muscle-tendon interactions resulting in spring-like behavior occur naturally and do not require closed-loop neural control.

Abstract

In terrestrial locomotion, there is a missing link between observed spring-like limb mechanics and the physiological systems driving their emergence. Previous modeling and experimental studies of bouncing gait (e.g., walking, running, hopping) identified muscle-tendon interactions that cycle large amounts of energy in series tendon as a source of elastic limb behavior. The neural, biomechanical, and environmental origins of these tuned mechanics, however, have remained elusive. To examine the dynamic interplay between these factors, we developed an experimental platform comprised of a feedback-controlled servo-motor coupled to a biological muscle-tendon. Our novel motor controller mimicked in vivo inertial/gravitational loading experienced by muscles during terrestrial locomotion, and rhythmic patterns of muscle activation were applied via stimulation of intact nerve. This approach was based on classical workloop studies, but avoided predetermined patterns of muscle strain and activation—constraints not imposed during real-world locomotion. Our unconstrained approach to position control allowed observation of emergent muscle-tendon mechanics resulting from dynamic interaction of neural control, active muscle, and system material/inertial properties. This study demonstrated that, despite the complex nonlinear nature of musculotendon systems, cyclic muscle contractions at the passive natural frequency of the underlying biomechanical system yielded maximal forces and fractions of mechanical work recovered from previously stored elastic energy in series-compliant tissues. By matching movement frequency to the natural frequency of the passive biomechanical system (i.e., resonance tuning), muscle-tendon interactions resulting in spring-like behavior emerged naturally, without closed-loop neural control. This conceptual framework may explain the basis for elastic limb behavior during terrestrial locomotion.

Continue Reading

Acknowledgments

We thank Siddharth Vadakkeevedu for assistance with experiments. Funding for this research was supplied by the College of Engineering, North Carolina State University, and Grant 2011152 from the United States-Israel Binational Science Foundation (to G.S.S.).

Supporting Information

Supporting Information (PDF)
Supporting Information

References

1
CT Farley, J Glasheen, TA McMahon, Running springs: Speed and animal size. J Exp Biol 185, 71–86 (1993).
2
CT Farley, O González, Leg stiffness and stride frequency in human running. J Biomech 29, 181–186 (1996).
3
R Blickhan, The spring-mass model for running and hopping. J Biomech 22, 1217–1227 (1989).
4
H Geyer, A Seyfarth, R Blickhan, Compliant leg behaviour explains basic dynamics of walking and running. Proc Biol Sci 273, 2861–2867 (2006).
5
MA Daley, AA Biewener, Running over rough terrain reveals limb control for intrinsic stability. Proc Natl Acad Sci USA 103, 15681–15686 (2006).
6
A Seyfarth, H Geyer, H Herr, Swing-leg retraction: A simple control model for stable running. J Exp Biol 206, 2547–2555 (2003).
7
RJ Full, DE Koditschek, Templates and anchors: Neuromechanical hypotheses of legged locomotion on land. J Exp Biol 202, 3325–3332 (1999).
8
ER Westervelt, JW Grizzle, DE Koditschek, Hybrid zero dynamics of planar bipedal walkers. IEEE-TAC 48, 42–56 (2003).
9
B Dadashzadeh, HR Vejdani, J Hurst From Template to Anchor: A Novel Control Strategy for Spring-Mass Running of Bipedal Robots (IEEE-IROS, Chicago), pp. 2566–2571 (2014).
10
FE Zajac, Muscle and tendon: Properties, models, scaling, and application to biomechanics and motor control. Crit Rev Biomed Eng 17, 359–411 (1989).
11
AM Gordon, AF Huxley, FJ Julian, The variation in isometric tension with sarcomere length in vertebrate muscle fibres. J Physiol 184, 170–192 (1966).
12
AV Hill, The heat of shortening and the dynamic constants of muscle. Proc R Soc Lond B Biol Sci 126, 136–195 (1938).
13
GA Lichtwark, AM Wilson, Optimal muscle fascicle length and tendon stiffness for maximising gastrocnemius efficiency during human walking and running. J Theor Biol 252, 662–673 (2008).
14
E Azizi, EL Brainerd, TJ Roberts, Variable gearing in pennate muscles. Proc Natl Acad Sci USA 105, 1745–1750 (2008).
15
E Azizi, TJ Roberts, Biaxial strain and variable stiffness in aponeuroses. J Physiol 587, 4309–4318 (2009).
16
RK Josephson, Dissecting muscle power output. J Exp Biol 202, 3369–3375 (1999).
17
CN Maganaris, JP Paul, Hysteresis measurements in intact human tendon. J Biomech 33, 1723–1727 (2000).
18
JM Winters, L Stark, Estimated mechanical properties of synergistic muscles involved in movements of a variety of human joints. J Biomech 21, 1027–1041 (1988).
19
GA Lichtwark, AM Wilson, Is Achilles tendon compliance optimised for maximum muscle efficiency during locomotion? J Biomech 40, 1768–1775 (2007).
20
DP Ferris, CT Farley, Interaction of leg stiffness and surfaces stiffness during human hopping. J Appl Physiol (1985) 82, 15–22, discussion 13–14 (1997).
21
YH Chang, RA Roiz, AG Auyang, Intralimb compensation strategy depends on the nature of joint perturbation in human hopping. J Biomech 41, 1832–1839 (2008).
22
CT Farley, DC Morgenroth, Leg stiffness primarily depends on ankle stiffness during human hopping. J Biomech 32, 267–273 (1999).
23
MM van der Krogt, et al., Robust passive dynamics of the musculoskeletal system compensate for unexpected surface changes during human hopping. J Appl Physiol (1985) 107, 801–808 (2009).
24
MH Dickinson, et al., How animals move: An integrative view. Science 288, 100–106 (2000).
25
TJ Roberts, E Azizi, Flexible mechanisms: The diverse roles of biological springs in vertebrate movement. J Exp Biol 214, 353–361 (2011).
26
D Takeshita, et al., Resonance in the human medial gastrocnemius muscle during cyclic ankle bending exercise. J Appl Physiol (1985) 101, 111–118 (2006).
27
GA Lichtwark, AM Wilson, In vivo mechanical properties of the human Achilles tendon during one-legged hopping. J Exp Biol 208, 4715–4725 (2005).
28
DJ Farris, BD Robertson, GS Sawicki, Elastic ankle exoskeletons reduce soleus muscle force but not work in human hopping. J Appl Physiol (1985) 115, 579–585 (2013).
29
GA Lichtwark, CJ Barclay, The influence of tendon compliance on muscle power output and efficiency during cyclic contractions. J Exp Biol 213, 707–714 (2010).
30
TJ Roberts, RL Marsh, PG Weyand, CR Taylor, Muscular force in running turkeys: The economy of minimizing work. Science 275, 1113–1115 (1997).
31
GA Lichtwark, CJ Barclay, A compliant tendon increases fatigue resistance and net efficiency during fatiguing cyclic contractions of mouse soleus muscle. Acta Physiol (Oxf) 204, 533–543 (2012).
32
JC Dean, AD Kuo, Energetic costs of producing muscle work and force in a cyclical human bouncing task. J Appl Physiol (1985) 110, 873–880 (2011).
33
AA Biewener, DD Konieczynski, RV Baudinette, In vivo muscle force-length behavior during steady-speed hopping in tammar wallabies. J Exp Biol 201, 1681–1694 (1998).
34
AA Biewener, C McGowan, GM Card, RV Baudinette, Dynamics of leg muscle function in tammar wallabies (M. eugenii) during level versus incline hopping. J Exp Biol 207, 211–223 (2004).
35
AA Biewener, MA Daley, Unsteady locomotion: Integrating muscle function with whole body dynamics and neuromuscular control. J Exp Biol 210, 2949–2960 (2007).
36
AN Ahn, How muscles function--the work loop technique. J Exp Biol 215, 1051–1052 (2012).
37
CJ Barclay, GA Lichtwark, The mechanics of mouse skeletal muscle when shortening during relaxation. J Biomech 40, 3121–3129 (2007).
38
GJ Ettema, Mechanical efficiency and efficiency of storage and release of series elastic energy in skeletal muscle during stretch-shorten cycles. J Exp Biol 199, 1983–1997 (1996).
39
GJ Ettema, Muscle efficiency: The controversial role of elasticity and mechanical energy conversion in stretch-shortening cycles. Eur J Appl Physiol 85, 457–465 (2001).
40
GS Sawicki, BD Robertson, E Azizi, TJ Roberts, Timing matters: Tuning the mechanics of a muscle-tendon unit by adjusting stimulation phase during cyclic contractions [published online ahead of print July 31, 2015]. J Exp Biol, 2015).
41
RL Marsh, How muscles deal with real-world loads: the influence of length trajectory on muscle performance. J Exp Biol 202, 3377–3385 (1999).
42
CJ Pennycuick, Frog fast muscle. 3. Twitches with isometric and inertial load. J Exp Biol 41, 273–289 (1964).
43
RV Baratta, M Solomonow, BH Zhou, Frequency domain-based models of skeletal muscle. J Electromyogr Kinesiol 8, 79–91 (1998).
44
CT Richards, CJ Clemente, A bio-robotic platform for integrating internal and external mechanics during muscle-powered swimming. Bioinspir Biomim 7, 016010 (2012).
45
W Farahat, H Herr, An apparatus for characterization and control of isolated muscle. IEEE Trans Neural Syst Rehabil Eng 13, 473–481 (2005).
46
CJ Clemente, C Richards, Determining the influence of muscle operating length on muscle performance during frog swimming using a bio-robotic model. Bioinspir Biomim 7, 036018 (2012).
47
CT Richards, CJ Clemente, Built for rowing: Frog muscle is tuned to limb morphology to power swimming. J R Soc Interface 10, 20130236 (2013).
48
WA Farahat, HM Herr, Optimal workloop energetics of muscle-actuated systems: an impedance matching view. PLOS Comput Biol 6, e1000795 (2010).
49
K Ogata System Dynamics (Prentice Hall, 4th Ed, Upper Saddle River, NJ, 2003).
50
RK Josephson, DR Stokes, Work-dependent deactivation of a crustacean muscle. J Exp Biol 202, 2551–2565 (1999).
51
VJ Caiozzo, KM Baldwin, Determinants of work produced by skeletal muscle: potential limitations of activation and relaxation. Am J Physiol 273, C1049–C1056 (1997).
52
TG Sandercock, CJ Heckman, Force from cat soleus muscle during imposed locomotor-like movements: Experimental data versus Hill-type model predictions. J Neurophysiol 77, 1538–1552 (1997).
53
NA Curtin, AR Gardner-Medwin, RC Woledge, Predictions of the time course of force and power output by dogfish white muscle fibres during brief tetani. J Exp Biol 201, 103–114 (1998).
54
BD Robertson, GS Sawicki, Exploiting elasticity: Modeling the influence of neural control on mechanics and energetics of ankle muscle-tendons during human hopping. J Theor Biol 353, 121–132 (2014).
55
DJ Farris, GS Sawicki, The mechanics and energetics of human walking and running: a joint level perspective. J R Soc Interface 9, 110–118 (2012).
56
E Azizi, Locomotor function shapes the passive mechanical properties and operating lengths of muscle. Proc Biol Sci 281, 20132914 (2014).
57
E Azizi, TJ Roberts, Muscle performance during frog jumping: Influence of elasticity on muscle operating lengths. Proc Biol Sci 277, 1523–1530 (2010).
58
KJ Merritt, CE Raburn, JC Dean, Adaptation of the preferred human bouncing pattern toward the metabolically optimal frequency. J Neurophysiol 107, 2244–2249 (2012).
59
CE Raburn, KJ Merritt, JC Dean, Preferred movement patterns during a simple bouncing task. J Exp Biol 214, 3768–3774 (2011).
60
DJ Farris, GS Sawicki, Linking the mechanics and energetics of hopping with elastic ankle exoskeletons. J Appl Physiol (1985) 113, 1862–1872 (2012).
61
GA Cavagna, P Franzetti, NC Heglund, P Willems, The determinants of the step frequency in running, trotting and hopping in man and other vertebrates. J Physiol 399, 81–92 (1988).
62
A Arampatzis, GP Brüggemann, V Metzler, The effect of speed on leg stiffness and joint kinetics in human running. J Biomech 32, 1349–1353 (1999).
63
; NicholsT, Stiffness regulation revisited. Behav Brain Sci 15, 783–784 (1992).
64
KC Nishikawa, et al., Is titin a 'winding filament'? A new twist on muscle contraction. Proc Biol Sci 279, 981–990 (2012).
65
N Mallouk, B Allard, Stretch-induced activation of Ca(2+)-activated K(+) channels in mouse skeletal muscle fibers. Am J Physiol Cell Physiol 278, C473–C479 (2000).
66
RM Alexander, Optimum muscle design for oscillatory movements. J Theor Biol 184, 253–259 (1997).
67
GS Sawicki, P Sheppard, TJ Roberts, Power amplification in an isolated muscle-tendon is load dependent. J Exp Biol, in press. (2015).
68
P Krishnaswamy, EN Brown, HM Herr, Human leg model predicts ankle muscle-tendon morphology, state, roles and energetics in walking. PLOS Comput Biol 7, e1001107 (2011).

Information & Authors

Information

Published in

The cover image for PNAS Vol.112; No.43
Proceedings of the National Academy of Sciences
Vol. 112 | No. 43
October 27, 2015
PubMed: 26460038

Classifications

Submission history

Published online: October 12, 2015
Published in issue: October 27, 2015

Keywords

  1. muscle-tendon mechanics
  2. elastic limb behavior
  3. neural control
  4. resonance
  5. terrestrial locomotion

Acknowledgments

We thank Siddharth Vadakkeevedu for assistance with experiments. Funding for this research was supplied by the College of Engineering, North Carolina State University, and Grant 2011152 from the United States-Israel Binational Science Foundation (to G.S.S.).

Notes

This article is a PNAS Direct Submission. A.A.B. is a guest editor invited by the Editorial Board.

Authors

Affiliations

Benjamin D. Robertson1 [email protected]
Joint Department of Biomedical Engineering, University of North Carolina-Chapel Hill and North Carolina State University, Raleigh, NC 27695
Present address: Department of Bioengineering, Temple University, Philadelphia, PA 19122.
Gregory S. Sawicki
Joint Department of Biomedical Engineering, University of North Carolina-Chapel Hill and North Carolina State University, Raleigh, NC 27695

Notes

1
To whom correspondence should be addressed. Email: [email protected].
Author contributions: B.D.R. and G.S.S. designed research; B.D.R. performed research; B.D.R. contributed new reagents/analytic tools; B.D.R. and G.S.S. analyzed data; and B.D.R. and G.S.S. wrote the paper.

Competing Interests

The authors declare no conflict of interest.

Metrics & Citations

Metrics

Note: The article usage is presented with a three- to four-day delay and will update daily once available. Due to ths delay, usage data will not appear immediately following publication. Citation information is sourced from Crossref Cited-by service.


Altmetrics

Citations

Export the article citation data by selecting a format from the list below and clicking Export.

Cited by

    Loading...

    View Options

    View options

    PDF format

    Download this article as a PDF file

    DOWNLOAD PDF

    Login options

    Check if you have access through your login credentials or your institution to get full access on this article.

    Personal login Institutional Login

    Recommend to a librarian

    Recommend PNAS to a Librarian

    Purchase options

    Purchase this article to access the full text.

    Single Article Purchase

    Unconstrained muscle-tendon workloops indicate resonance tuning as a mechanism for elastic limb behavior during terrestrial locomotion
    Proceedings of the National Academy of Sciences
    • Vol. 112
    • No. 43
    • pp. 13121-E5902

    Figures

    Tables

    Media

    Share

    Share

    Share article link

    Share on social media