- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT04033146
Optimizing Ankle Exoskeleton Assistance for Walking Across the Life Span
Study Overview
Status
Conditions
Intervention / Treatment
Detailed Description
Older adults walk with greater metabolic rates than young adults. Growing evidence suggests that the greater older adult metabolic rates are related to the structural properties of their lower leg tissues. The tendons of the leg of older adults are more compliant than that of young adults. Accordingly, older adult leg tendons stretch more under a given load, such as walking and running, causing their muscles to operate at shorter, less optimal lengths, and higher activations than that of young adults. Using shorter muscles lengths and more muscle activation offers less economical force production. Thus, the investigators seek to alter the passive stiffness acting about the ankle, using an ankle exoskeleton in-parallel to the ankle, thereby enabling muscles to operate at relatively longer lengths. Generally, muscles produce force more economically when they are at operating lengths greater than that exhibited during normal walking. By adding an exoskeleton in-parallel to the ankle, the investigators hypothesize that older adults will walk with longer plantar flexor muscle lengths, thereby lessening their muscle activation, and consequently, reducing whole-body metabolic rate during walking.
In this study, the investigators will have young and older adults perform isolated calf muscle contractions while the investigators capture the behavior of their leg muscles and tendons using a non-invasive ultrasound probe that sits flush to the participant's skin. The investigators will also have participants walk on a treadmill with the ankle exoskeleton set at multiple assistance values. During these trials, the investigators will take many physiological and biomechanical measurements to assess why the optimal ankle exoskeleton profile minimizes the metabolic cost of walking in young and older adults.
Study Type
Enrollment (Actual)
Phase
- Not Applicable
Contacts and Locations
Study Contact
- Name: Lindsey Trejo, M.S.
- Phone Number: 402-580-5469
- Email: ltrejo@gatech.edu
Study Locations
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Georgia
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Atlanta, Georgia, United States, 30332
- Physiology of Wearable Robotics Laboratory (Georgia Tech)
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Participation Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Description
Inclusion Criteria:
- Subjects must be able to walk for 60 minutes in a 90-minute time frame.
- Subjects are apparently free of cardiovascular, metabolic, and renal disease, which includes no signs or symptoms suggestive of cardiovascular, metabolic or renal disease.
- Subjects have no current musculoskeletal injury.
- Subjects need to be either 18-45 or 65+ years old.
These criteria meet the American College of Sports Medicine's 2015 guidelines for participant health screening prior to joining a moderate or moderate-to-vigorous exercise protocol. (Riebe et al., 2015).
Exclusion Criteria:
- Have dementia or an inability to give informed consent
- Have a musculoskeletal injury or feel pain while walking
- Have a history of dizziness and/or balance problems
- Have cardiovascular, heart, metabolic, or renal disease, or respiratory problems
- Smoke cigarettes
- Asthma
- Feel pain or discomfort in the chest, neck, jaw, arms during rest or exercise
- Have orthopnea or paroxysmal nocturnal dyspnea
- Have ankle edema
- Have palpitations or tachycardia
- Have a heart murmur
- Have had a heart attack
- Have diabetes
- Have a pace maker
- Have unusual shortness of breath with usual activities
- Are <18 or 46-64 years of age
- Do not speak or understand English
Study Plan
How is the study designed?
Design Details
- Primary Purpose: Basic Science
- Allocation: N/A
- Interventional Model: Single Group Assignment
- Masking: None (Open Label)
Arms and Interventions
Participant Group / Arm |
Intervention / Treatment |
---|---|
Experimental: Economical muscle dynamics
The investigators are trying to figure out how to optimize muscle contractile conditions for mobility.
To do this, the investigators are systematically altering muscle contraction conditions for all participants.
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The investigators will use ankle-exoskeletons to systematically alter the behavior of participant muscle contractions.
For example, participants will walk in a robotic device that adds a spring in parallel with their lower limb that will help the participants generate a stronger propulsive push-off and may reduce the effort of walking.
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What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
Metabolic rate (watts)
Time Frame: 1 year
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The rate of metabolic energy that subjects expend during walking.
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1 year
|
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
Preferred walking speed (m/s)
Time Frame: 1 year
|
Measurements will be taken on how fast subjects prefer to walk with each exoskeleton.condition
|
1 year
|
Collaborators and Investigators
Sponsor
Collaborators
Investigators
- Principal Investigator: Gregory S Sawicki, Ph.D., Georgia Institute of Technology
Publications and helpful links
General Publications
- Asbeck AT, De Rossi SM, Holt KG, and Walsh CJ. A biologically inspired soft exosuit for walking assistance. The international journal of robotics research 34: 744-762, 2015.
- Biewener AA, Farley CT, Roberts TJ, Temaner M. Muscle mechanical advantage of human walking and running: implications for energy cost. J Appl Physiol (1985). 2004 Dec;97(6):2266-74. doi: 10.1152/japplphysiol.00003.2004. Epub 2004 Jul 16.
- Browne MG, Franz JR. The independent effects of speed and propulsive force on joint power generation in walking. J Biomech. 2017 Apr 11;55:48-55. doi: 10.1016/j.jbiomech.2017.02.011. Epub 2017 Feb 21.
- Cavagna GA, Kaneko M. Mechanical work and efficiency in level walking and running. J Physiol. 1977 Jun;268(2):467--81. doi: 10.1113/jphysiol.1977.sp011866.
- CAVAGNA GA, SAIBENE FP, MARGARIA R. MECHANICAL WORK IN RUNNING. J Appl Physiol. 1964 Mar;19:249-56. doi: 10.1152/jappl.1964.19.2.249. No abstract available.
- Collins SH, Wiggin MB, Sawicki GS. Reducing the energy cost of human walking using an unpowered exoskeleton. Nature. 2015 Jun 11;522(7555):212-5. doi: 10.1038/nature14288. Epub 2015 Apr 1.
- Csapo R, Malis V, Hodgson J, Sinha S. Age-related greater Achilles tendon compliance is not associated with larger plantar flexor muscle fascicle strains in senior women. J Appl Physiol (1985). 2014 Apr 15;116(8):961-9. doi: 10.1152/japplphysiol.01337.2013. Epub 2014 Feb 6.
- DeVita P, Helseth J, Hortobagyi T. Muscles do more positive than negative work in human locomotion. J Exp Biol. 2007 Oct;210(Pt 19):3361-73. doi: 10.1242/jeb.003970.
- DeVita P, Hortobagyi T. Age causes a redistribution of joint torques and powers during gait. J Appl Physiol (1985). 2000 May;88(5):1804-11. doi: 10.1152/jappl.2000.88.5.1804.
- Elliott G, Sawicki GS, Marecki A, Herr H. The biomechanics and energetics of human running using an elastic knee exoskeleton. IEEE Int Conf Rehabil Robot. 2013 Jun;2013:6650418. doi: 10.1109/ICORR.2013.6650418.
- Farris DJ, Sawicki GS. The mechanics and energetics of human walking and running: a joint level perspective. J R Soc Interface. 2012 Jan 7;9(66):110-8. doi: 10.1098/rsif.2011.0182. Epub 2011 May 25.
- Ferris DP, Sawicki GS, Domingo A. Powered lower limb orthoses for gait rehabilitation. Top Spinal Cord Inj Rehabil. 2005;11(2):34-49. doi: 10.1310/6gl4-um7x-519h-9jyd.
- Franz JR, Slane LC, Rasske K, Thelen DG. Non-uniform in vivo deformations of the human Achilles tendon during walking. Gait Posture. 2015 Jan;41(1):192-7. doi: 10.1016/j.gaitpost.2014.10.001. Epub 2014 Oct 12.
- Gottschall JS, Kram R. Energy cost and muscular activity required for propulsion during walking. J Appl Physiol (1985). 2003 May;94(5):1766-72. doi: 10.1152/japplphysiol.00670.2002. Epub 2002 Dec 27.
- Griffin TM, Tolani NA, Kram R. Walking in simulated reduced gravity: mechanical energy fluctuations and exchange. J Appl Physiol (1985). 1999 Jan;86(1):383-90. doi: 10.1152/jappl.1999.86.1.383.
- Holt NC, Roberts TJ, Askew GN. The energetic benefits of tendon springs in running: is the reduction of muscle work important? J Exp Biol. 2014 Dec 15;217(Pt 24):4365-71. doi: 10.1242/jeb.112813. Epub 2014 Nov 13.
- Huang HJ, Kram R, Ahmed AA. Reduction of metabolic cost during motor learning of arm reaching dynamics. J Neurosci. 2012 Feb 8;32(6):2182-90. doi: 10.1523/JNEUROSCI.4003-11.2012.
- Malcolm P, Derave W, Galle S, De Clercq D. A simple exoskeleton that assists plantarflexion can reduce the metabolic cost of human walking. PLoS One. 2013;8(2):e56137. doi: 10.1371/journal.pone.0056137. Epub 2013 Feb 13.
- Martin PE, Rothstein DE, Larish DD. Effects of age and physical activity status on the speed-aerobic demand relationship of walking. J Appl Physiol (1985). 1992 Jul;73(1):200-6. doi: 10.1152/jappl.1992.73.1.200.
- Mian OS, Thom JM, Ardigo LP, Minetti AE, Narici MV. Gastrocnemius muscle-tendon behaviour during walking in young and older adults. Acta Physiol (Oxf). 2007 Jan;189(1):57-65. doi: 10.1111/j.1748-1716.2006.01634.x.
- Mooney LM, Rouse EJ, Herr HM. Autonomous exoskeleton reduces metabolic cost of human walking during load carriage. J Neuroeng Rehabil. 2014 May 9;11:80. doi: 10.1186/1743-0003-11-80.
- Nelson ME, Rejeski WJ, Blair SN, Duncan PW, Judge JO, King AC, Macera CA, Castaneda-Sceppa C; American College of Sports Medicine; American Heart Association. Physical activity and public health in older adults: recommendation from the American College of Sports Medicine and the American Heart Association. Circulation. 2007 Aug 28;116(9):1094-105. doi: 10.1161/CIRCULATIONAHA.107.185650. Epub 2007 Aug 1.
- Nuckols Rich DT, Sawicki Greg. Ultrasound measurements link soleus muscle dynamics and metabolic cost during human walking with elastic ankle exoskeletons. In Prep.
- Onambele GL, Narici MV, Maganaris CN. Calf muscle-tendon properties and postural balance in old age. J Appl Physiol (1985). 2006 Jun;100(6):2048-56. doi: 10.1152/japplphysiol.01442.2005. Epub 2006 Feb 2.
- Ortega JD, Beck ON, Roby JM, Turney AL, Kram R. Running for exercise mitigates age-related deterioration of walking economy. PLoS One. 2014 Nov 20;9(11):e113471. doi: 10.1371/journal.pone.0113471. eCollection 2014.
- Ortega JD, Farley CT. Individual limb work does not explain the greater metabolic cost of walking in elderly adults. J Appl Physiol (1985). 2007 Jun;102(6):2266-73. doi: 10.1152/japplphysiol.00583.2006. Epub 2007 Mar 15.
- Ortega JO, Lindstedt SL, Nelson FE, Jubrias SA, Kushmerick MJ, Conley KE. Muscle force, work and cost: a novel technique to revisit the Fenn effect. J Exp Biol. 2015 Jul;218(Pt 13):2075-82. doi: 10.1242/jeb.114512. Epub 2015 May 11.
- Panizzolo FA, Green DJ, Lloyd DG, Maiorana AJ, Rubenson J. Soleus fascicle length changes are conserved between young and old adults at their preferred walking speed. Gait Posture. 2013 Sep;38(4):764-9. doi: 10.1016/j.gaitpost.2013.03.021. Epub 2013 May 1.
- Rall JA. Sense and nonsense about the Fenn effect. Am J Physiol. 1982 Jan;242(1):H1-6. doi: 10.1152/ajpheart.1982.242.1.H1.
- Rasske K, Thelen DG, Franz JR. Variation in the human Achilles tendon moment arm during walking. Comput Methods Biomech Biomed Engin. 2017 Feb;20(2):201-205. doi: 10.1080/10255842.2016.1213818. Epub 2016 Jul 27.
- Rubenson J, Pires NJ, Loi HO, Pinniger GJ, Shannon DG. On the ascent: the soleus operating length is conserved to the ascending limb of the force-length curve across gait mechanics in humans. J Exp Biol. 2012 Oct 15;215(Pt 20):3539-51. doi: 10.1242/jeb.070466. Epub 2012 Jul 5.
- Sawicki GS, Ferris DP. Mechanics and energetics of level walking with powered ankle exoskeletons. J Exp Biol. 2008 May;211(Pt 9):1402-13. doi: 10.1242/jeb.009241.
- Stanaway FF, Gnjidic D, Blyth FM, Le Couteur DG, Naganathan V, Waite L, Seibel MJ, Handelsman DJ, Sambrook PN, Cumming RG. How fast does the Grim Reaper walk? Receiver operating characteristics curve analysis in healthy men aged 70 and over. BMJ. 2011 Dec 15;343:d7679. doi: 10.1136/bmj.d7679.
- Stenroth L, Peltonen J, Cronin NJ, Sipila S, Finni T. Age-related differences in Achilles tendon properties and triceps surae muscle architecture in vivo. J Appl Physiol (1985). 2012 Nov;113(10):1537-44. doi: 10.1152/japplphysiol.00782.2012. Epub 2012 Oct 4.
- Studenski S, Perera S, Patel K, Rosano C, Faulkner K, Inzitari M, Brach J, Chandler J, Cawthon P, Connor EB, Nevitt M, Visser M, Kritchevsky S, Badinelli S, Harris T, Newman AB, Cauley J, Ferrucci L, Guralnik J. Gait speed and survival in older adults. JAMA. 2011 Jan 5;305(1):50-8. doi: 10.1001/jama.2010.1923.
- Takahashi KZ, Gross MT, van Werkhoven H, Piazza SJ, Sawicki GS. Adding Stiffness to the Foot Modulates Soleus Force-Velocity Behaviour during Human Walking. Sci Rep. 2016 Jul 15;6:29870. doi: 10.1038/srep29870.
- Takahashi KZ, Lewek MD, Sawicki GS. A neuromechanics-based powered ankle exoskeleton to assist walking post-stroke: a feasibility study. J Neuroeng Rehabil. 2015 Feb 25;12:23. doi: 10.1186/s12984-015-0015-7.
Study record dates
Study Major Dates
Study Start (Actual)
Primary Completion (Actual)
Study Completion (Actual)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Actual)
Study Record Updates
Last Update Posted (Estimated)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Keywords
Other Study ID Numbers
- H18208
- F32AG063460 (U.S. NIH Grant/Contract)
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
product manufactured in and exported from the U.S.
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