Evidence map›Paper›PMID 28558835›Full record

ArticleJournal of neuroengineering and rehabilitation2017

A muscle-driven approach to restore stepping with an exoskeleton for individuals with paraplegia.

Sarah R Chang, Mark J Nandor, Lu Li, Rudi Kobetic, Kevin M Foglyano, John R Schnellenberger, Musa L Audu, Gilles Pinault, Roger D Quinn, Ronald J Triolo

Open access · goldAbstract read
In one paragraph

Article in Journal of neuroengineering and rehabilitation, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
2.4field-weighted citation impact, top 12% 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

14 citing papers in PubMed, 1 synthesis or guideline pooled it, 41 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Trial
  4. Article
  5. Article
  6. Review
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. 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

10 authors at 2 institutions in 1 country.

Sarah R ChangDepartment of Veterans Affairs, Advanced Platform Technology Center, Louis Stokes Cleveland VA Medical Center, 10701 East Blvd, 151AW/APT, Cleveland, OH, 44106, USA. sarah.r.chang@case.edu.
Mark J NandorDepartment of Veterans Affairs, Advanced Platform Technology Center, Louis Stokes Cleveland VA Medical Center, 10701 East Blvd, 151AW/APT, Cleveland, OH, 44106, USA.
Lu LiDepartment of Mechanical and Aerospace Engineering, Case Western Reserve University, 10900 Euclid Avenue, Cleveland, OH, 44106, USA.
Rudi KobeticDepartment of Veterans Affairs, Advanced Platform Technology Center, Louis Stokes Cleveland VA Medical Center, 10701 East Blvd, 151AW/APT, Cleveland, OH, 44106, USA.
Kevin M FoglyanoDepartment of Veterans Affairs, Advanced Platform Technology Center, Louis Stokes Cleveland VA Medical Center, 10701 East Blvd, 151AW/APT, Cleveland, OH, 44106, USA.
John R SchnellenbergerDepartment of Veterans Affairs, Advanced Platform Technology Center, Louis Stokes Cleveland VA Medical Center, 10701 East Blvd, 151AW/APT, Cleveland, OH, 44106, USA.
Musa L AuduDepartment of Veterans Affairs, Advanced Platform Technology Center, Louis Stokes Cleveland VA Medical Center, 10701 East Blvd, 151AW/APT, Cleveland, OH, 44106, USA.
Gilles PinaultDepartment of Veterans Affairs, Advanced Platform Technology Center, Louis Stokes Cleveland VA Medical Center, 10701 East Blvd, 151AW/APT, Cleveland, OH, 44106, USA.
Roger D QuinnDepartment of Veterans Affairs, Advanced Platform Technology Center, Louis Stokes Cleveland VA Medical Center, 10701 East Blvd, 151AW/APT, Cleveland, OH, 44106, USA.
Ronald J TrioloDepartment of Veterans Affairs, Advanced Platform Technology Center, Louis Stokes Cleveland VA Medical Center, 10701 East Blvd, 151AW/APT, Cleveland, OH, 44106, USA.
Louis Stokes Cleveland VA Medical Center · USCase Western Reserve University · US

Funding

TRAINING PROGRAM IN MUSCULOSKELETAL RESEARCHT32AR007505 · NIAMS · CASE WESTERN RESERVE UNIVERSITY · PI TRIOLO, RONALD J · 1986 to 2023
$6.3M
NIAMS NIH HHS T32 AR007505RRD VA I01 RX002275
6 · The paper itself

Abstract

backgroundFunctional neuromuscular stimulation, lower limb orthosis, powered lower limb exoskeleton, and hybrid neuroprosthesis (HNP) technologies can restore stepping in individuals with paraplegia due to spinal cord injury (SCI). However, a self-contained muscle-driven controllable exoskeleton approach based on an implanted neural stimulator to restore walking has not been previously demonstrated, which could potentially result in system use outside the laboratory and viable for long term use or clinical testing. In this work, we designed and evaluated an untethered muscle-driven controllable exoskeleton to restore stepping in three individuals with paralysis from SCI.

methodsThe self-contained HNP combined neural stimulation to activate the paralyzed muscles and generate joint torques for limb movements with a controllable lower limb exoskeleton to stabilize and support the user. An onboard controller processed exoskeleton sensor signals, determined appropriate exoskeletal constraints and stimulation commands for a finite state machine (FSM), and transmitted data over Bluetooth to an off-board computer for real-time monitoring and data recording. The FSM coordinated stimulation and exoskeletal constraints to enable functions, selected with a wireless finger switch user interface, for standing up, standing, stepping, or sitting down. In the stepping function, the FSM used a sensor-based gait event detector to determine transitions between gait phases of double stance, early swing, late swing, and weight acceptance.

resultsThe HNP restored stepping in three individuals with motor complete paralysis due to SCI. The controller appropriately coordinated stimulation and exoskeletal constraints using the sensor-based FSM for subjects with different stimulation systems. The average range of motion at hip and knee joints during walking were 8.5°-20.8° and 14.0°-43.6°, respectively. Walking speeds varied from 0.03 to 0.06 m/s, and cadences from 10 to 20 steps/min.

conclusionsA self-contained muscle-driven exoskeleton was a feasible intervention to restore stepping in individuals with paraplegia due to SCI. The untethered hybrid system was capable of adjusting to different individuals' needs to appropriately coordinate exoskeletal constraints with muscle activation using a sensor-driven FSM for stepping. Further improvements for out-of-the-laboratory use should include implantation of plantar flexor muscles to improve walking speed and power assist as needed at the hips and knees to maintain walking as muscles fatigue.

Indexed as

Exoskeleton DeviceAdultElectric Stimulation TherapyFemaleHumansLower ExtremityMaleParaplegiaSpinal Cord InjuriesWalkingAssistive technologyBiomechanicsExoskeletonFinite state machineFunctional neuromuscular stimulationGaitHybrid neuroprosthesisSpinal cord injury

Identifiers

PMID28558835
PMCPMC5450339
OpenAlexW2618163766

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.