Evidence map›Paper›PMID 36051565›Full record

ArticleIEEE robotics and automation letters2022

Enhancing Voluntary Motion with Modular, Backdrivable, Powered Hip and Knee Orthoses.

Christopher Nesler, Gray Thomas, Nikhil Divekar, Elliott J Rouse, Robert D Gregg

Abstract read
In one paragraph

Article in IEEE robotics and automation letters, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
–field-weighted citation impact
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

23 citing papers in PubMed.

  1. Advancing human sensorimotor research through modular robotics: the case of the HRX-1.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2026
    Review
  2. Article
  3. Optimal Energy Shaping and Force Amplification Framework for Task-Agnostic, Biomimetic Ankle Exoskeletons.IEEE transactions on robotics : a publication of the IEEE Robotics and Automation Society · 2026
    Article
  4. Task-Agnostic Exoskeleton Torque Assistance Reduces Ankle Osteoarthritis Pain: A Pilot Study.Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference · 2025
    Article
  5. Article
  6. Article
  7. Human-Interface Dynamics of Knee Exoskeletons with Lateral and Anteroposterior Attachment.IEEE ... International Conference on Rehabilitation Robotics : [proceedings] · 2025
    Article
  8. A Task-Agnostic Knee Exoskeleton for Reducing Osteoarthritis Pain Across Activities of Daily Life: A Pilot Study.IEEE ... International Conference on Rehabilitation Robotics : [proceedings] · 2025
    Article
  9. A Task-Agnostic Hip Exoskeleton for Osteoarthritis Pain Relief: Energetic Control Across Activities of Daily Life.IEEE ... International Conference on Rehabilitation Robotics : [proceedings] · 2025
    Article
  10. Article
  11. A Modular Framework for Task-Agnostic, Energy Shaping Control of Lower Limb Exoskeletons.IEEE transactions on control systems technology : a publication of the IEEE Control Systems Society · 2024
    Article
  12. Article
  13. Design and Validation of a Modular, Backdrivable Ankle Exoskeleton.Proceedings of the ... IEEE/RAS-EMBS International Conference on Biomedical Robotics and Biomechatronics. IEEE/RAS-EMBS International Conference on Biomedical Robotics and Biomechatronics · 2024
    Article
  14. Article
  15. Hip Exoskeleton for Cycling Assistance.Bioengineering (Basel, Switzerland) · 2024
    Article
  16. Article
  17. Article
  18. Article
  19. Review
  20. Optimal Energy Shaping Control for a Backdrivable Hip Exoskeleton.Proceedings of the ... American Control Conference. American Control Conference · 2023
    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

5 authors.

Christopher NeslerDepartment of Electrical Engineering and Computer Science and the Robotics Institute.
Gray ThomasDepartment of Electrical Engineering and Computer Science and the Robotics Institute.
Nikhil DivekarDepartment of Electrical Engineering and Computer Science and the Robotics Institute.
Elliott J RouseDepartment of Mechanical Engineering and the Robotics Institute, University of Michigan, Ann Arbor, MI 48109.
Robert D GreggDepartment of Electrical Engineering and Computer Science and the Robotics Institute.

Funding

Understanding Personalized Control with Modular Powered OrthosesR01EB031166 · NIBIB · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Robert D Gregg · 2021 to 2026
$2.5M
NIBIB NIH HHS R01 EB031166
6 · The paper itself

Abstract

Mobility disabilities are prominent in society with wide-ranging deficits, motivating modular, partial-assist, lower-limb exoskeletons for this heterogeneous population. This paper introduces the Modular Backdrivable Lower-limb Unloading Exoskeleton (M-BLUE), which implements high torque, low mechanical impedance actuators on commercial orthoses with sheet metal modifications to produce a variety of hip- and/or knee-assisting configurations. Benchtop system identification verifies the desirable backdrive properties of the actuator, and allows for torque prediction within ±0.4 Nm. An able-bodied human subject experiment demonstrates that three unilateral configurations of M-BLUE (hip only, knee only, and hip-knee) with a simple gravity compensation controller can reduce muscle EMG readings in a lifting and lowering task relative to the bare condition. Reductions in mean muscular effort and peak muscle activation were seen across the primary squat musculature (excluding biceps femoris), demonstrating the potential to reduce fatigue leading to poor lifting posture. These promising results motivate applications of M-BLUE to additional populations, and the expansion of M-BLUE to bilateral and ankle configurations.

Indexed as

Prosthetics and ExoskeletonsWearable Robotics

Identifiers

PMID36051565
PMCPMC9427014

What OpenQuestion holds

Textmetadata
LicenceTDM
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.