Optimized hip–knee–ankle exoskeleton assistance at a range of walking speeds

Journal of NeuroEngineering and Rehabilitation - Tập 18 - Trang 1-12 - 2021
Gwendolyn M. Bryan1, Patrick W. Franks1, Seungmoon Song1, Alexandra S. Voloshina2, Ricardo Reyes1, Meghan P. O’Donovan3, Karen N. Gregorczyk3, Steven H. Collins1
1Department of Mechanical Engineering, Stanford University, Stanford, USA
2Mechanical and Aerospace Engineering, University of California, Irvine, USA
3U.S. Army Natick Soldier Research, Development and Engineering Center, Natick, USA

Tóm tắt

Autonomous exoskeletons will need to be useful at a variety of walking speeds, but it is unclear how optimal hip–knee–ankle exoskeleton assistance should change with speed. Biological joint moments tend to increase with speed, and in some cases, optimized ankle exoskeleton torques follow a similar trend. Ideal hip–knee–ankle exoskeleton torque may also increase with speed. The purpose of this study was to characterize the relationship between walking speed, optimal hip–knee–ankle exoskeleton assistance, and the benefits to metabolic energy cost. We optimized hip–knee–ankle exoskeleton assistance to reduce metabolic cost for three able-bodied participants walking at 1.0 m/s, 1.25 m/s and 1.5 m/s. We measured metabolic cost, muscle activity, exoskeleton assistance and kinematics. We performed Friedman’s tests to analyze trends across walking speeds and paired t-tests to determine if changes from the unassisted conditions to the assisted conditions were significant. Exoskeleton assistance reduced the metabolic cost of walking compared to wearing the exoskeleton with no torque applied by 26%, 47% and 50% at 1.0, 1.25 and 1.5 m/s, respectively. For all three participants, optimized exoskeleton ankle torque was the smallest for slow walking, while hip and knee torque changed slightly with speed in ways that varied across participants. Total applied positive power increased with speed for all three participants, largely due to increased joint velocities, which consistently increased with speed. Exoskeleton assistance is effective at a range of speeds and is most effective at medium and fast walking speeds. Exoskeleton assistance was less effective for slow walking, which may explain the limited success in reducing metabolic cost for patient populations through exoskeleton assistance. Exoskeleton designers may have more success when targeting activities and groups with faster walking speeds. Speed-related changes in optimized exoskeleton assistance varied by participant, indicating either the benefit of participant-specific tuning or that a wide variety of torque profiles are similarly effective.

Tài liệu tham khảo

Bornstein MH, Bornstein HG. The pace of life. Nature. 1976;259(5544):557–9. https://doi.org/10.1038/259557a0. Song S, Choi H, Collins SH. Using force data to self-pace an instrumented treadmill and measure self-selected walking speed. J NeuroEng Rehabil. 2020;17(1):68. https://doi.org/10.1186/s12984-020-00683-5. Nadeau S, Betschart M, Bethoux F. Gait analysis for poststroke rehabilitation: the relevance of biomechanical analysis and the impact of gait speed. Phys Med Rehabil Clin N Am. 2013;24(2):265–76. https://doi.org/10.1016/j.pmr.2012.11.007. Sawicki GS, Beck ON, Kang I, Young AJ. The exoskeleton expansion: improving walking and running economy. J NeuroEng Rehabil. 2020;17(1):25. https://doi.org/10.1186/s12984-020-00663-9. Lim B, Lee J, Jang J, Kim K, Park YJ, Seo K, Shim Y. Delayed output feedback control for gait assistance with a robotic hip exoskeleton. IEEE Trans Robot. 2019;35(4):1055–62. https://doi.org/10.1109/TRO.2019.2913318. Mooney LM, Rouse EJ, Herr HM. Autonomous exoskeleton reduces metabolic cost of human walking during load carriage. J NeuroEng Rehabil. 2014;11(1):80. https://doi.org/10.1186/1743-0003-11-80. Lee S, Kim J, Baker L, Long A, Karavas N, Menard N, Galiana I, Walsh CJ. Autonomous multi-joint soft exosuit with augmentation-power-based control parameter tuning reduces energy cost of loaded walking. J NeuroEng Rehabil. 2018;15(1):66. https://doi.org/10.1186/s12984-018-0410-y. Kim J, Lee G, Heimgartner R, Arumukhom Revi D, Karavas N, Nathanson D, Galiana I, Eckert-Erdheim A, Murphy P, Perry D, Menard N, Choe DK, Malcolm P, Walsh CJ. Reducing the metabolic rate of walking and running with a versatile, portable exosuit. Science. 2019;365(6454):668–72. https://doi.org/10.1126/science.aav7536. Malcolm P, Derave W, Galle S, Clercq DD. A simple exoskeleton that assists plantarflexion can reduce the metabolic cost of human walking. PLOS One. 2013;8(2):56137. https://doi.org/10.1371/journal.pone.0056137. Collins SH, Wiggin MB, Sawicki GS. Reducing the energy cost of human walking using an unpowered exoskeleton. Nature. 2015;522(7555):212–5. https://doi.org/10.1038/nature14288. Seo K, Lee J, Lee Y, Ha T, Shim Y. Fully autonomous hip exoskeleton saves metabolic cost of walking. In: 2016 IEEE International Conference on Robotics and Automation (ICRA); 2016. pp. 4628–4635. https://doi.org/10.1109/ICRA.2016.7487663 Zhang J, Fiers P, Witte KA, Jackson RW, Poggensee KL, Atkeson CG, Collins SH. Human-in-the-loop optimization of exoskeleton assistance during walking. Science. 2017;356(6344):1280–4. https://doi.org/10.1126/science.aal5054. Quinlivan BT, Lee S, Malcolm P, Rossi DM, Grimmer M, Siviy C, Karavas N, Wagner D, Asbeck A, Galiana I, Walsh CJ. Assistance magnitude versus metabolic cost reductions for a tethered multiarticular soft exosuit. Sci Robot. 2017;2(2):4416. https://doi.org/10.1126/scirobotics.aah4416. Ding Y, Kim M, Kuindersma S, Walsh CJ. Human-in-the-loop optimization of hip assistance with a soft exosuit during walking. Sci Robot. 2018. https://doi.org/10.1126/scirobotics.aar5438. Cao W, Chen C, Hu H, Fang K, Wu X. Effect of Hip Assistance Modes on Metabolic Cost of Walking With a Soft Exoskeleton. IEEE Transactions on Automation Science and Engineering. 2020. https://doi.org/10.1109/TASE.2020.3027748. Franks PW, Bryan GM, Martin RM, Reyes R, Collins SH. Comparing optimized exoskeleton assistance of the hip, knee, and ankle in single and multi-joint configurations. bioRxiv. 2021. https://doi.org/10.1101/2021.02.19.431882. Nuckols RW, Sawicki GS. Impact of elastic ankle exoskeleton stiffness on neuromechanics and energetics of human walking across multiple speeds. J NeuroEng Rehabil. 2020;17(1):75. https://doi.org/10.1186/s12984-020-00703-4. Bryan GM, Franks PW, Klein SC, Peuchen RJ, Collins SH. A hip–knee–ankle exoskeleton emulator for studying gait assistance. Int J Robot Res. 2020. https://doi.org/10.1177/0278364920961452. Zhang CCJ, Cheah, Collins SH. Torque control in legged locomotion. In: Sharbafi, SAM (editor) Bioinspired legged locomotion: models, concepts, control and applications, pp. 347–395. Butterworth-Heinemann, Oxford (2017). Chap. 5. Google-Books-ID: 3gVQCwAAQBAJ. Koller J, Gates D, Ferris D, Remy C. ’Body-in-the-loop’ optimization of assistive robotic devices: a validation study. 2016. https://doi.org/10.15607/RSS.2016.XII.007 Witte KA, Fiers P, Sheets-Singer AL, Collins SH. Improving the energy economy of human running with powered and unpowered ankle exoskeleton assistance. Sci Robot. 2020;5(40):9108. https://doi.org/10.1126/scirobotics.aay9108. Selinger JC, Donelan JM. Estimating instantaneous energetic cost during non-steady-state gait. J Appl Physiol. 2014;117(11):1406–15. https://doi.org/10.1152/japplphysiol.00445.2014. Brockway J. Derivation of formulae used to calculate energy expenditure in man. Hum Nutr Clin Nutr. 1987;41(6):463–71. De Luca CJ, Donald Gilmore L, Kuznetsov M, Roy SH. Filtering the surface EMG signal: Movement artifact and baseline noise contamination. J Biomech. 2010;43(8):1573–9. https://doi.org/10.1016/j.jbiomech.2010.01.027. Winter DA, Yack HJ. EMG profiles during normal human walking: stride-to-stride and inter-subject variability. Electroencephalogr Clin Neurophysiol. 1987;67(5):402–11. https://doi.org/10.1016/0013-4694(87)90003-4. Sawicki GS, Ferris DP. Mechanics and energetics of level walking with powered ankle exoskeletons. J Exp Biol. 2008;211(9):1402–13. https://doi.org/10.1242/jeb.009241. Cavagna GA, Heglund NC, Taylor CR. Mechanical work in terrestrial locomotion: two basic mechanisms for minimizing energy expenditure. Am J Physiol-Regul Integr Compar Physiol. 1977;233(5):243–61. https://doi.org/10.1152/ajpregu.1977.233.5.R243. Ishikawa M, Komi PV, Grey MJ, Lepola V, Bruggemann G-P. Muscle-tendon interaction and elastic energy usage in human walking. J Appl Physiol. 2005;99(2):603–8. https://doi.org/10.1152/japplphysiol.00189.2005. Neptune RR, Sasaki K, Kautz SA. The effect of walking speed on muscle function and mechanical energetics. Gait Posture. 2008;28(1):135–43. https://doi.org/10.1016/j.gaitpost.2007.11.004. Farris DJ, Sawicki GS. Human medial gastrocnemius force-velocity behavior shifts with locomotion speed and gait. Proc Natl Acad Sci. 2012;109(3):977–82. https://doi.org/10.1073/pnas.1107972109. Jackson RW, Dembia CL, Delp SL, Collins SH. Muscle-tendon mechanics explain unexpected effects of exoskeleton assistance on metabolic rate during walking. J Exp Biol. 2017;220(11):2082–95. https://doi.org/10.1242/jeb.150011. Uchida TK, Delp SL. Biomechanics of movement: the science of sports, robotics, and rehabilitation; 2021. MIT Press. Google-Books-ID: Hu8OEAAAQBAJ. Awad LN, Bae J, O’Donnell K, Rossi SMMD, Hendron K, Sloot LH, Kudzia P, Allen S, Holt KG, Ellis TD, Walsh CJ. A soft robotic exosuit improves walking in patients after stroke. Sci Transl Med. 2017. https://doi.org/10.1126/scitranslmed.aai9084. McCain EM, Dick TJM, Giest TN, Nuckols RW, Lewek MD, Saul KR, Sawicki GS. Mechanics and energetics of post-stroke walking aided by a powered ankle exoskeleton with speed-adaptive myoelectric control. J NeuroEng Rehabil. 2019;16(1):57. https://doi.org/10.1186/s12984-019-0523-y. Takahashi KZ, Lewek MD, Sawicki GS. A neuromechanics-based powered ankle exoskeleton to assist walking post-stroke: a feasibility study. J NeuroEng Rehabil. 2015;12(1):23. https://doi.org/10.1186/s12984-015-0015-7.