Skip to main content
Top
Published in: Journal of NeuroEngineering and Rehabilitation 1/2019

Open Access 01-12-2019 | Stroke | Research

Mechanics and energetics of post-stroke walking aided by a powered ankle exoskeleton with speed-adaptive myoelectric control

Authors: Emily M. McCain, Taylor J. M. Dick, Tracy N. Giest, Richard W. Nuckols, Michael D. Lewek, Katherine R. Saul, Gregory S. Sawicki

Published in: Journal of NeuroEngineering and Rehabilitation | Issue 1/2019

Login to get access

Abstract

Background

Ankle exoskeletons offer a promising opportunity to offset mechanical deficits after stroke by applying the needed torque at the paretic ankle. Because joint torque is related to gait speed, it is important to consider the user’s gait speed when determining the magnitude of assistive joint torque. We developed and tested a novel exoskeleton controller for delivering propulsive assistance which modulates exoskeleton torque magnitude based on both soleus muscle activity and walking speed. The purpose of this research is to assess the impact of the resulting exoskeleton assistance on post-stroke walking performance across a range of walking speeds.

Methods

Six participants with stroke walked with and without assistance applied to a powered ankle exoskeleton on the paretic limb. Walking speed started at 60% of their comfortable overground speed and was increased each minute (n00, n01, n02, etc.). We measured lower limb joint and limb powers, metabolic cost of transport, paretic and non-paretic limb propulsion, and trailing limb angle.

Results

Exoskeleton assistance increased with walking speed, verifying the speed-adaptive nature of the controller. Both paretic ankle joint power and total limb power increased significantly with exoskeleton assistance at six walking speeds (n00, n01, n02, n03, n04, n05). Despite these joint- and limb-level benefits associated with exoskeleton assistance, no subject averaged metabolic benefits were evident when compared to the unassisted condition. Both paretic trailing limb angle and integrated anterior paretic ground reaction forces were reduced with assistance applied as compared to no assistance at four speeds (n00, n01, n02, n03).

Conclusions

Our results suggest that despite appropriate scaling of ankle assistance by the exoskeleton controller, suboptimal limb posture limited the conversion of exoskeleton assistance into forward propulsion. Future studies could include biofeedback or verbal cues to guide users into limb configurations that encourage the conversion of mechanical power at the ankle to forward propulsion.

Trial registration

N/A.
Appendix
Available only for authorised users
Literature
1.
go back to reference Michael KM, Allen JK, Macko RF. Reduced ambulatory activity after stroke: the role of balance, gait, and cardiovascular fitness. Arch Phys Med Rehabil. 2005;86(8):1552–6.CrossRef Michael KM, Allen JK, Macko RF. Reduced ambulatory activity after stroke: the role of balance, gait, and cardiovascular fitness. Arch Phys Med Rehabil. 2005;86(8):1552–6.CrossRef
2.
go back to reference Perry J, et al. Classification of walking handicap in the stroke population. Stroke. 1995;26(6):982–9.CrossRef Perry J, et al. Classification of walking handicap in the stroke population. Stroke. 1995;26(6):982–9.CrossRef
3.
go back to reference Jonkers I, Delp S, Patten C. Capacity to increase walking speed is limited by impaired hip and ankle power generation in lower functioning persons post-stroke. Gait Posture. 2008;29:129–37. Jonkers I, Delp S, Patten C. Capacity to increase walking speed is limited by impaired hip and ankle power generation in lower functioning persons post-stroke. Gait Posture. 2008;29:129–37.
4.
go back to reference Chen G, et al. Gait differences between individuals with post-stroke hemiparesis and non-disabled controls at matched speeds. Gait Posture. 2005;22(1):51–6.CrossRef Chen G, et al. Gait differences between individuals with post-stroke hemiparesis and non-disabled controls at matched speeds. Gait Posture. 2005;22(1):51–6.CrossRef
5.
go back to reference Farris DJ, Sawicki GS. The mechanics and energetics of human walking and running: a joint level perspective. J R Soc Interface. 2012;9(66):110–8.CrossRef Farris DJ, Sawicki GS. The mechanics and energetics of human walking and running: a joint level perspective. J R Soc Interface. 2012;9(66):110–8.CrossRef
6.
go back to reference Eng JJ, Winter DA. Kinetic analysis of the lower limbs during walking: what information can be gained from a three-dimensional model? J Biomech. 1995;28(6):753–8.CrossRef Eng JJ, Winter DA. Kinetic analysis of the lower limbs during walking: what information can be gained from a three-dimensional model? J Biomech. 1995;28(6):753–8.CrossRef
7.
go back to reference Awad LN, et al. A soft robotic exosuit improves walking in patients after stroke. Sci Transl Med. 2017;9(400):eaai9084. Awad LN, et al. A soft robotic exosuit improves walking in patients after stroke. Sci Transl Med. 2017;9(400):eaai9084.
8.
go back to reference Takahashi KZ, Lewek MD, Sawicki GS. A neuromechanics-based powered ankle exoskeleton to assist walking post-stroke: a feasibility study. J Neuroeng Rehabil. 2015;12:23.CrossRef Takahashi KZ, Lewek MD, Sawicki GS. A neuromechanics-based powered ankle exoskeleton to assist walking post-stroke: a feasibility study. J Neuroeng Rehabil. 2015;12:23.CrossRef
9.
go back to reference Forrester LW, et al. Task-specific ankle robotics gait training after stroke: a randomized pilot study. J Neuroeng Rehabil. 2016;13(1):51.CrossRef Forrester LW, et al. Task-specific ankle robotics gait training after stroke: a randomized pilot study. J Neuroeng Rehabil. 2016;13(1):51.CrossRef
10.
go back to reference Forrester LW, et al. Ankle training with a robotic device improves Hemiparetic gait after a stroke. Neurorehabil Neural Repair. 2010;25(4):369–77.CrossRef Forrester LW, et al. Ankle training with a robotic device improves Hemiparetic gait after a stroke. Neurorehabil Neural Repair. 2010;25(4):369–77.CrossRef
11.
go back to reference Collins SH, Wiggin MB, Sawicki GS. Reducing the energy cost of human walking using an unpowered exoskeleton. Nature. 2015;522(7555):212–5.CrossRef Collins SH, Wiggin MB, Sawicki GS. Reducing the energy cost of human walking using an unpowered exoskeleton. Nature. 2015;522(7555):212–5.CrossRef
12.
go back to reference Galle S, et al. Reducing the metabolic cost of walking with an ankle exoskeleton: interaction between actuation timing and power. J Neuroeng Rehabil. 2017;14(1):35.CrossRef Galle S, et al. Reducing the metabolic cost of walking with an ankle exoskeleton: interaction between actuation timing and power. J Neuroeng Rehabil. 2017;14(1):35.CrossRef
13.
go back to reference Sawicki GS, Ferris DP. Mechanics and energetics of level walking with powered ankle exoskeletons. J Exp Biol. 2008;211:1402–13. Sawicki GS, Ferris DP. Mechanics and energetics of level walking with powered ankle exoskeletons. J Exp Biol. 2008;211:1402–13.
14.
go back to reference Wiggin MB, Collins SH, Sawicki GS. An exoskeleton using controlled energy storage and release to aid ankle propulsion. In: IEEE International Conference on Rehabilitation Robotics (ICORR). Zurich: IEEE; 2011. Wiggin MB, Collins SH, Sawicki GS. An exoskeleton using controlled energy storage and release to aid ankle propulsion. In: IEEE International Conference on Rehabilitation Robotics (ICORR). Zurich: IEEE; 2011.
15.
go back to reference Koller JR, et al. Learning to walk with an adaptive gain proportional myoelectric controller for a robotic ankle exoskeleton. J Neuroeng Rehabil. 2015;12(1):97.CrossRef Koller JR, et al. Learning to walk with an adaptive gain proportional myoelectric controller for a robotic ankle exoskeleton. J Neuroeng Rehabil. 2015;12(1):97.CrossRef
16.
go back to reference Awad LN, et al. Identifying candidates for targeted gait rehabilitation after stroke: better prediction through biomechanics-informed characterization. J Neuroeng Rehabil. 2016;13(1):84.CrossRef Awad LN, et al. Identifying candidates for targeted gait rehabilitation after stroke: better prediction through biomechanics-informed characterization. J Neuroeng Rehabil. 2016;13(1):84.CrossRef
17.
go back to reference Tyrell CM, et al. Influence of systematic increases in treadmill walking speed on gait kinematics after stroke. Phys Ther. 2011;91(3):392–403.CrossRef Tyrell CM, et al. Influence of systematic increases in treadmill walking speed on gait kinematics after stroke. Phys Ther. 2011;91(3):392–403.CrossRef
18.
go back to reference Hsiao H, et al. Mechanisms to increase propulsive force for individuals poststroke. J Neuroeng Rehabil. 2015;12:40.CrossRef Hsiao H, et al. Mechanisms to increase propulsive force for individuals poststroke. J Neuroeng Rehabil. 2015;12:40.CrossRef
19.
go back to reference Awad LN, et al. Walking speed and step length asymmetry modify the energy cost of walking after stroke. Neurorehabil Neural Repair. 2015;29(5):416–23.CrossRef Awad LN, et al. Walking speed and step length asymmetry modify the energy cost of walking after stroke. Neurorehabil Neural Repair. 2015;29(5):416–23.CrossRef
20.
go back to reference Nuckols RW, Collins SH, Sawicki GS. An emulator system to characterize optimal elastic ankle exoskeleton stiffness during human walking and running. Columbus Ohio: Dynamic Walking Conf.; 2015. Nuckols RW, Collins SH, Sawicki GS. An emulator system to characterize optimal elastic ankle exoskeleton stiffness during human walking and running. Columbus Ohio: Dynamic Walking Conf.; 2015.
21.
go back to reference Lamontagne A, et al. Mechanisms of disturbed motor control in ankle weakness during gait after stroke. Gait Posture. 2002;15(3):244–55.CrossRef Lamontagne A, et al. Mechanisms of disturbed motor control in ankle weakness during gait after stroke. Gait Posture. 2002;15(3):244–55.CrossRef
22.
go back to reference Farris DJ, et al. Revisiting the mechanics and energetics of walking in individuals with chronic hemiparesis following stroke: from individual limbs to lower limb joints. J Neuroeng Rehabil. 2015;12(1):24.CrossRef Farris DJ, et al. Revisiting the mechanics and energetics of walking in individuals with chronic hemiparesis following stroke: from individual limbs to lower limb joints. J Neuroeng Rehabil. 2015;12(1):24.CrossRef
23.
go back to reference Thelen DG, Anderson FC. Using computed muscle control to generate forward dynamic simulations of human walking from experimental data. J Biomech. 2006;39(6):1107–15.CrossRef Thelen DG, Anderson FC. Using computed muscle control to generate forward dynamic simulations of human walking from experimental data. J Biomech. 2006;39(6):1107–15.CrossRef
24.
go back to reference Brockway JM. Derivation of formulae used to calculate energy expenditure in man. Hum Nutr Clin Nutr. 1987;41(6):463–71.PubMed Brockway JM. Derivation of formulae used to calculate energy expenditure in man. Hum Nutr Clin Nutr. 1987;41(6):463–71.PubMed
25.
go back to reference Peterson CL, et al. Pre-swing deficits in forward propulsion, swing initiation and power generation by individual muscles during hemiparetic walking. J Biomech. 2010;43(12):2348–55.CrossRef Peterson CL, et al. Pre-swing deficits in forward propulsion, swing initiation and power generation by individual muscles during hemiparetic walking. J Biomech. 2010;43(12):2348–55.CrossRef
26.
go back to reference Kim W-S, Kim MJ. Individual joint contribution to body weight support in the affected lower limb during walking in post-stroke hemiplegia. Top Stroke Rehabil. 2017;24(3):170–6.CrossRef Kim W-S, Kim MJ. Individual joint contribution to body weight support in the affected lower limb during walking in post-stroke hemiplegia. Top Stroke Rehabil. 2017;24(3):170–6.CrossRef
27.
go back to reference Hsiao H, et al. Control of lateral weight transfer is associated with walking speed in individuals post-stroke. J Biomech. 2017;60:72–8.CrossRef Hsiao H, et al. Control of lateral weight transfer is associated with walking speed in individuals post-stroke. J Biomech. 2017;60:72–8.CrossRef
28.
go back to reference Raja B, Neptune RR, Kautz SA. Coordination of the non-paretic leg during hemiparetic gait: expected and novel compensatory patterns. Clin Biomech (Bristol Avon). 2012;27(10):1023–30.CrossRef Raja B, Neptune RR, Kautz SA. Coordination of the non-paretic leg during hemiparetic gait: expected and novel compensatory patterns. Clin Biomech (Bristol Avon). 2012;27(10):1023–30.CrossRef
29.
go back to reference Caputo JM, Collins SH. A universal ankle-foot prosthesis emulator for human locomotion experiments. J Biomech Eng. 2014;136(3):035002.CrossRef Caputo JM, Collins SH. A universal ankle-foot prosthesis emulator for human locomotion experiments. J Biomech Eng. 2014;136(3):035002.CrossRef
30.
go back to reference Nadeau S, et al. Plantarflexor weakness as a limiting factor of gait speed in stroke subjects and the compensating role of hip flexors. Clin Biomech. 1999;14(2):125–35.CrossRef Nadeau S, et al. Plantarflexor weakness as a limiting factor of gait speed in stroke subjects and the compensating role of hip flexors. Clin Biomech. 1999;14(2):125–35.CrossRef
31.
go back to reference Awad LN, et al. Paretic propulsion and trailing limb angle are key determinants of long-distance walking function after stroke. Neurorehabil Neural Repair. 2015;29(6):499–508.CrossRef Awad LN, et al. Paretic propulsion and trailing limb angle are key determinants of long-distance walking function after stroke. Neurorehabil Neural Repair. 2015;29(6):499–508.CrossRef
32.
go back to reference Aiello E, et al. Visual EMG biofeedback to improve ankle function in Hemiparetic gait. Conf Proc IEEE Eng Med Biol Soc. 2005;7:7703–6.PubMed Aiello E, et al. Visual EMG biofeedback to improve ankle function in Hemiparetic gait. Conf Proc IEEE Eng Med Biol Soc. 2005;7:7703–6.PubMed
33.
go back to reference Dobkin BH, et al. International randomized clinical trial, stroke inpatient rehabilitation with reinforcement of walking speed (SIRROWS), improves outcomes. Neurorehabil Neural Repair. 2010;24(3):235–42.CrossRef Dobkin BH, et al. International randomized clinical trial, stroke inpatient rehabilitation with reinforcement of walking speed (SIRROWS), improves outcomes. Neurorehabil Neural Repair. 2010;24(3):235–42.CrossRef
34.
go back to reference Agrawal SK, et al. Assessment of motion of a swing leg and gait rehabilitation with a gravity balancing exoskeleton. IEEE Trans Neural Syst Rehabil Eng. 2007;15(3):410–20.CrossRef Agrawal SK, et al. Assessment of motion of a swing leg and gait rehabilitation with a gravity balancing exoskeleton. IEEE Trans Neural Syst Rehabil Eng. 2007;15(3):410–20.CrossRef
35.
go back to reference Banala SK, et al. Robot assisted gait training with active leg exoskeleton (ALEX). IEEE Trans Neural Syst Rehabil Eng. 2009;17(1):2–8.CrossRef Banala SK, et al. Robot assisted gait training with active leg exoskeleton (ALEX). IEEE Trans Neural Syst Rehabil Eng. 2009;17(1):2–8.CrossRef
36.
go back to reference Krishnan C, et al. Active robotic training improves locomotor function in a stroke survivor. J Neuroeng Rehabil. 2012;9:57.CrossRef Krishnan C, et al. Active robotic training improves locomotor function in a stroke survivor. J Neuroeng Rehabil. 2012;9:57.CrossRef
37.
go back to reference Malcolm P, et al. A simple exoskeleton that assists plantarflexion can reduce the metabolic cost of human walking. PLoS One. 2013;8:e56137. Malcolm P, et al. A simple exoskeleton that assists plantarflexion can reduce the metabolic cost of human walking. PLoS One. 2013;8:e56137.
Metadata
Title
Mechanics and energetics of post-stroke walking aided by a powered ankle exoskeleton with speed-adaptive myoelectric control
Authors
Emily M. McCain
Taylor J. M. Dick
Tracy N. Giest
Richard W. Nuckols
Michael D. Lewek
Katherine R. Saul
Gregory S. Sawicki
Publication date
01-12-2019
Publisher
BioMed Central
Keyword
Stroke
Published in
Journal of NeuroEngineering and Rehabilitation / Issue 1/2019
Electronic ISSN: 1743-0003
DOI
https://doi.org/10.1186/s12984-019-0523-y

Other articles of this Issue 1/2019

Journal of NeuroEngineering and Rehabilitation 1/2019 Go to the issue