Evidence map›Paper›PMID 33954159›Full record

ArticleFrontiers in bioengineering and biotechnology2021

Neuromechanics and Energetics of Walking With an Ankle Exoskeleton Using Neuromuscular-Model Based Control: A Parameter Study.

Benjamin A Shafer, Sasha A Philius, Richard W Nuckols, James McCall, Aaron J Young, Gregory S Sawicki

Open access · goldAbstract read
In one paragraph

Article in Frontiers in bioengineering and biotechnology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
2.1field-weighted citation impact, top 13% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

15 citing papers in PubMed, 31 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Biomechanical models in the lower-limb exoskeletons development: a review.Journal of neuroengineering and rehabilitation · 2025
    Review
  7. Article
  8. Article
  9. Exo Supportive Devices: Summary of Technical Aspects.Bioengineering (Basel, Switzerland) · 2023
    Review
  10. Assisting walking balance using a bio-inspired exoskeleton controller.Journal of neuroengineering and rehabilitation · 2023
    Article
  11. Article
  12. Article
  13. Review
  14. Review
  15. Harnessing Energy of a Treadmill for Push-Off Assistance During Walking:Frontiers in bioengineering and biotechnology · 2022
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 3 institutions in 1 country.

Benjamin A ShaferGeorge W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, GA, United States.
Sasha A PhiliusJoint Department of Biomedical Engineering, North Carolina State University and University of North Carolina at Chapel Hill, Raleigh, NC, United States.
Richard W NuckolsHarvard John A. Paulson School of Engineering and Applied Sciences, Harvard University, Boston, MA, United States.
James McCallJoint Department of Biomedical Engineering, North Carolina State University and University of North Carolina at Chapel Hill, Raleigh, NC, United States.
Aaron J YoungGeorge W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, GA, United States.
Gregory S SawickiGeorge W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, GA, United States.
Georgia Institute of Technology · USNorth Carolina State University · USHarvard University · US

Funding

NRI: Novel platform for rapid exploration of robotic ankle exoskeleton control stR01NR014756 · NINR · NORTH CAROLINA STATE UNIVERSITY RALEIGH · PI KAMPER, DEREK, SAWICKI, GREGORY STEPHEN · 2013 to 2017
$729k
NIEHS NIH HHS 27303C0140NINR NIH HHS R01 NR014756
6 · The paper itself

Abstract

Powered ankle exoskeletons that apply assistive torques with optimized timing and magnitude can reduce metabolic cost by ∼10% compared to normal walking. However, finding individualized optimal control parameters is time consuming and must be done independently for different walking modes (e.g., speeds, slopes). Thus, there is a need for exoskeleton controllers that are capable of continuously adapting torque assistance in concert with changing locomotor demands. One option is to use a biologically inspired, model-based control scheme that can capture the adaptive behavior of the human plantarflexors during natural gait. Here, based on previously demonstrated success in a powered ankle-foot prosthesis, we developed an ankle exoskeleton controller that uses a neuromuscular model (NMM) comprised of a Hill type musculotendon driven by a simple positive force feedback reflex loop. To examine the effects of NMM reflex parameter settings on (i) ankle exoskeleton mechanical performance and (ii) users' physiological response, we recruited nine healthy, young adults to walk on a treadmill at a fixed speed of 1.25 m/s while donning bilateral tethered robotic ankle exoskeletons. To quantify exoskeleton mechanics, we measured exoskeleton torque and power output across a range of NMM controller Gain (0.8-2.0) and Delay (10-40 ms) settings, as well as a High Gain/High Delay (2.0/40 ms) combination. To quantify users' physiological response, we compared joint kinematics and kinetics, ankle muscle electromyography and metabolic rate between powered and unpowered/zero-torque conditions. Increasing NMM controller reflex Gain caused increases in average ankle exoskeleton torque and net power output, while increasing NMM controller reflex Delay caused a decrease in net ankle exoskeleton power output. Despite systematic reduction in users' average biological ankle moment with exoskeleton mechanical assistance, we found no NMM controller Gain or Delay settings that yielded changes in metabolic rate.

Indexed as

human walkinglocomotion neuromechanicsmetabolic energy costmuscle electromyographyneuromuscular modelplantarflexor muscle-tendon mechanicspowered ankle exoskeleton

Identifiers

PMID33954159
PMCPMC8091965
OpenAlexW3156343597

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.