Evidence map›Paper›PMID 34458654›Full record

ArticleCurrent opinion in biomedical engineering2021

Taking Both Sides: Seeking Symbiosis Between Intelligent Prostheses and Human Motor Control during Locomotion.

He Helen Huang, Jennie Si, Andrea Brandt, Minhan Li

Abstract read
In one paragraph

Article in Current opinion in biomedical engineering, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Using EMG Biofeedback to Restore Closed-Loop Neural Control on a Powered Prosthetic Ankle.IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society · 2026
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. 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

4 authors.

He Helen HuangNC State/UNC Joint Department of Biomedical Engineering, North Carolina State University, Raleigh, North Carolina, USA, 27695.
Jennie SiDepartment of Electrical, Computer, and Energy Engineering, Arizona State University, Tempe, Arizona, USA, 85281.
Andrea BrandtNC State/UNC Joint Department of Biomedical Engineering, North Carolina State University, Raleigh, North Carolina, USA, 27695.
Minhan LiNC State/UNC Joint Department of Biomedical Engineering, North Carolina State University, Raleigh, North Carolina, USA, 27695.

Funding

Error Tolerance in Wearer-Robot SystemsR01EB024570 · NIBIB · NORTH CAROLINA STATE UNIVERSITY RALEIGH · PI HUANG, HE · 2018 to 2022
$1.8M
NIBIB NIH HHS R01 EB024570
6 · The paper itself

Abstract

Robotic lower-limb prostheses aim to replicate the power-generating capability of biological joints during locomotion to empower individuals with lower-limb loss. However, recent clinical trials have not demonstrated clear advantages of these devices over traditional passive devices. We believe this is partly because the current designs of robotic prothesis controllers and clinical methods for fitting and training individuals to use them do not ensure good coordination between the prosthesis and user. Accordingly, we advocate for new holistic approaches in which human motor control and intelligent prosthesis control function as one system (defined as human-prosthesis symbiosis). We hope engineers and clinicians will work closely to achieve this symbiosis, thereby improving the functionality and acceptance of robotic prostheses and users' quality of life.

Indexed as

Augmented biofeedbackGait biomechanicsHuman-in-the-loop optimizationHuman-prosthesis symbiosisOptimal adaptive controlReinforcement learningRobotic lower-limb prostheses

Identifiers

PMID34458654
PMCPMC8388605

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.