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Abstract

Background

In recent years, as the large own weight of active exoskeleton brings some difficulty to energy-sustainable, studies have shown that passive lower extremity exoskeletons can also reduce the energy consumption of human locomotion, but the energy saving is still relatively small compared with the total consumption.

Methods

A passive lower limb exoskeleton named Multi-Resiliency was described, and design parameters were estimated based on inverse dynamics. Furthermore, a series of experiments was designed for assessing the assisting effect of the exoskeleton in uphill walking and upstairs activities.

Results

In the inverse dynamics analysis, the spring release angle θ_max was confirmed to be 45° for increasing assist performance of the exoskeleton. In the exoskeleton wearing experiments, the energy expenditure of subjects were decreased by 14.3% in uphill walking test and 16.0% in stair climbing test respectively.

Conclusion

The results show that the design of Multi-Resiliency exoskeleton is reasonable and it may effectively improve walking efficiency during uphill walking and stair climbing activities.

Keywords

Design exoskeleton passive walking efficiency physiologic cost

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References

Cardona

Destarac

and Garcia

CE.

Exoskeleton robots for rehabilitation: state of the art and future trends. In: 2017 IEEE 37th Central America and Panama Convention (CONCAPAN XXXVII), Managua, Nicaragua, 15–17 November 2017. pp. 1–6. New York: IEEE.

Zhang

Tran

and Huang

Design and experimental verification of hip exoskeleton with balance capacities for walking assistance. IEEE/ASME Trans Mechatron 2018; 23: 274–285.

Farris

Quintero

Murray

, et al. A preliminary assessment of legged mobility provided by a lower limb exoskeleton for persons with paraplegia. IEEE Trans Neural Syst Rehabil Eng 2014; 22: 482–490.

Bradley

Acosta

Hawley

, et al. NeXOS – the design, development and evaluation of a rehabilitation system for the lower limbs. Mechatronics 2009; 19: 247–257.

Zoss

Kazerooni

and Chu

On the mechanical design of the Berkeley Lower Extremity Exoskeleton (BLEEX). In: 2005 IEEE/RSJ international conference on intelligent robots and systems, Edmonton, AB, Canada, 2–6 August 2005. pp.3465–3472. New York: IEEE.

Seo

Lee

, and Park

YJ.

, Autonomous hip exoskeleton saves metabolic cost of walking uphill. In: 2017 International Conference on Rehabilitation Robotics (ICORR), London, UK, 1–2 July 2017. pp.246–251. New York: IEEE.

Long

Wang

, et al. Robust sliding mode control based on GA optimization and CMAC compensation for lower limb exoskeleton. Appl Bionics Biomech 2016; 2016: 5017381–5017381.

Jacobsen

Olivier

Smith

, et al. Research robots for applications in AI, teleoperation and entertainment. In: Siciliano B and Dario P (eds) Experimental robotics VIII. Springer tracts in advanced robotics. Berlin, Heidelberg: Springer, 2003, pp.2–20.

Pons

JL.

Wearable robots: biomechatronic exoskeletons. Hoboken, NJ: John Wiley & Sons, 2008.

10.

Sawicki

and Khan

NS.

A simple model to estimate plantarflexor muscle–tendon mechanics and energetics during walking with elastic ankle exoskeletons. IEEE Trans Biomed Eng 2016; 63: 914–923.

11.

Jackson

and Collins

SH.

An experimental comparison of the relative benefits of work and torque assistance in ankle exoskeletons. J Appl Physiol 2015; 119: 541–557.

12.

Wang

Guo

, et al. Design of a passive gait-based ankle-foot exoskeleton with self-adaptive capability. Chin J Mech Eng 2020; 33: 1–11.

13.

Nuckols

and Sawicki

GS.

Impact of elastic ankle exoskeleton stiffness on neuromechanics and energetics of human walking across multiple speeds. J Neuroeng Rehabil 2020; 17: 1–19.

14.

Collins

Wiggin

and Sawicki

GS.

Reducing the energy cost of human walking using an unpowered exoskeleton. Nature 2015; 522: 212–215.

15.

Ohashi

and Matsuoka

Energy efficiency during walking with a short leg brace in healthy young adults. Rigakuryoho Kagaku 2000; 15: 167–171.

16.

Otsuki

Matsumoto

Ueki

, et al. Automated stride assistance device improved the gait parameters and energy cost during walking of healthy middle-aged females but not those of young controls. J Phys Therapy Sci 2016; 28: 3361–3366.

17.

Theoretical analysis and experimental research of the power-support human lower extremity exoskeleton . PhD Thesis, Nanjing University of Science and Technology, China, 2017.

18.

Aoustin

and Formalskii

AM.

Walking of biped with passive exoskeleton: evaluation of energy consumption. Multibody Syst Dyn 2018; 43: 71–96.

19.

Zhao

and Xu

Torque parameters of human knee joint. Chin J Tissue Eng Res 2011; 15: 705.

20.

Zhang

, et al. Dynamic analysis and simulation of the lower extremity exoskeleton based on human-machine interaction. Appl Math Mech-Engl 2019; 40: 780–790.

21.

Guan

and Wang

RC.

Optimization of an unpowered energy-stored exoskeleton on spring stiffness for spinal cord injuries. J Tsinghua Univ (Science and Technology) 2017; 11: 1179–1184.

22.

A study on human lower-limb dynamics modeling and walking gait analysis . PhD Thesis, Huazhong University of Science & Technology, China, 2018.

23.

Apkarian

Naumann

and Cairns

A three-dimensional kinematic and dynamic model of the lower limb. J Biomech 1989; 22: 143–155.

24.

Tang

Qin

and Luo

XD.

Research on the impact of heel height on plantar pressure comfortableness of young ladaies. Chinese Leather 2011; 40: 106–111.

25.

MacGregor

The evaluation of patient performance using longterm ambulatory monitoring technique in the domiciliary environment. Physiotherapy 1981; 67: 30–33.

26.

Nene

AV.

Physiological cost index of walking in able-bodied adolescents and adults. Clin Rehabil 1993; 7: 319–326.

27.

CH.

Physiological cost index of walking for normal adults. J Special Educ Health 2007; 17: 1–19.

28.

MacGregor

The objective measurement of physical performance with long term ambulatory physiological surveillance equipment (LAPSE). In: Proceedings of 3rd international symposium on ambulatory monitoring. Cambridge: Academic Press, 1979.

29.

Bailey

and Ratcliffe

CM.

Reliability of physiological cost index measurements in walking normal subjects using steady-state, non-steady-state and post-exercise heart rate recording. Physiotherapy 1995; 81: 618–623.

30.

Jaiyesimi

and Fashakin

OG.

Reliability of physiological cost index measurements. Afr J Med Med Sci 2007; 36: 229–234.

31.

Rana

and Pun

Estimation of physiological cost index as an energy expenditure index using MacGregor's equation. J Nepal Med Assoc 2015; 53: 174–179.

32.

Raj

Amiri

Wang

, et al. The repeatability of gait speed and physiological cost index measurements in working adults. J Prim Care Community Health 2014; 5: 128–133.

33.

Karami

, et al. The physiological cost index and some kinematic parameters of walking and jogging in blind and sighted students. Iran J Med Sci 2020; 45: 2–8.

34.

Hagberg

Tranberg

Zugner

, et al. Reproducibility of the physiological cost index among individuals with a lower-limb amputation and healthy adults. Physiotherapy Res Int 2011; 16: 92–100.

35.

Fredrickson

Ruff

and Daly

JJ.

Physiological cost index as a proxy measure for the oxygen cost of gait in stroke patients. Neurorehabil Neural Repair 2007; 21: 429–434.

36.

Zhang

, et al. The research of the sport burden grade standard corresponding to the heart rate. Natural Sci J Harbin Normal Univ 2008; 24: 99–102.

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Design of a multi-resiliency exoskeleton and its physiologic cost evaluation in uphill walking and stair climbing locomotion

Abstract

Background

Methods

Results

Conclusion

Keywords

Get full access to this article

References

Supplementary Material