Evidence map›Paper›PMID 34738079›Full record

ArticleIEEE transactions on medical robotics and bionics2021

Acquisition of Surface EMG Using Flexible and Low-Profile Electrodes for Lower Extremity Neuroprosthetic Control.

Seong Ho Yeon, Tony Shu, Hyungeun Song, Tsung-Han Hsieh, Junqing Qiao, Emily A Rogers, Samantha Gutierrez-Arango, Erica Israel, Lisa E Freed, Hugh M Herr

Open access · greenAbstract read
In one paragraph

Article in IEEE transactions on medical robotics and bionics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.3field-weighted citation impact, top 23% 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

8 citing papers in PubMed, 28 citations in OpenAlex.

  1. Design and evaluation of a bone-anchored, neurally-controlled knee prosthesis.Journal of neuroengineering and rehabilitation · 2026
    Article
  2. Article
  3. Article
  4. Review
  5. Review
  6. Article
  7. Ankle Torque Estimation With Motor Unit Discharges in Residual Muscles Following Lower-Limb Amputation.IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society · 2023
    Article
  8. 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.

Seong Ho YeonMIT Program in Media Arts and Sciences, and the MIT Center for Extreme Bionics, Massachusetts Institute of Technology, Cambridge, MA 02139 USA.
Tony ShuMIT Program in Media Arts and Sciences, and the MIT Center for Extreme Bionics, Massachusetts Institute of Technology, Cambridge, MA 02139 USA.
Hyungeun SongMIT Health Sciences and Technology Program, and the MIT Center for Extreme Bionics, Massachusetts Institute of Technology, Cambridge, MA 02139 USA.
Tsung-Han HsiehMIT Program in Media Arts and Sciences, and the MIT Center for Extreme Bionics, Massachusetts Institute of Technology, Cambridge, MA 02139 USA.
Junqing QiaoMIT Program in Media Arts and Sciences, and the MIT Center for Extreme Bionics, Massachusetts Institute of Technology, Cambridge, MA 02139 USA.
Emily A RogersMIT Department of Mechanical Engineering, and the MIT Center for Extreme Bionics, Massachusetts Institute of Technology, Cambridge, MA 02139 USA.
Samantha Gutierrez-ArangoMIT Program in Media Arts and Sciences, and the MIT Center for Extreme Bionics, Massachusetts Institute of Technology, Cambridge, MA 02139 USA.
Erica IsraelMIT Program in Media Arts and Sciences, and the MIT Center for Extreme Bionics, Massachusetts Institute of Technology, Cambridge, MA 02139 USA.
Lisa E FreedMIT Program in Media Arts and Sciences, and the MIT Center for Extreme Bionics, Massachusetts Institute of Technology, Cambridge, MA 02139 USA.
Hugh M HerrMIT Program in Media Arts and Sciences, and the MIT Center for Extreme Bionics, Massachusetts Institute of Technology, Cambridge, MA 02139 USA.
Massachusetts Institute of Technology · USIIT@MIT · US

Funding

Agonist-Antagonist Myoneural Interface for Functional Limb Restoration after Transtibial AmputationR01HD097135 · NICHD · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI HERR, HUGH M · 2019 to 2023
$2.8M
NICHD NIH HHS R01 HD097135
6 · The paper itself

Abstract

For persons with lower extremity (LE) amputation, acquisition of surface electromyography (sEMG) from within the prosthetic socket remains a significant challenge due to the dynamic loads experienced during the gait cycle. However, these signals are critical for both understanding the clinical effects of LE amputation and determining the desired control trajectories of active LE prostheses. Current solutions for collecting within-socket sEMG are generally (i) incompatible with a subject's prescribed prosthetic socket and liners, (ii) uncomfortable, and (iii) expensive. This study presents an alternative within-socket sEMG acquisition paradigm using a novel flexible and low-profile electrode. First, the practical performance of this Sub-Liner Interface for Prosthetics (SLIP) electrode is compared to that of commercial Ag/AgCl electrodes within a cohort of subjects without amputation. Then, the corresponding SLIP electrode sEMG acquisition paradigm is implemented in a single subject with unilateral transtibial amputation performing unconstrained movements and walking on level ground. Finally, a quantitative questionnaire characterizes subjective comfort for SLIP electrode and commercial Ag/AgCl electrode instrumentation setups. Quantitative analyses suggest comparable signal qualities between SLIP and Ag/AgCl electrodes while qualitative analyses suggest the feasibility of using the SLIP electrode for real-time sEMG data collection from load-bearing, ambulatory subjects with LE amputation.

Identifiers

PMID34738079
PMCPMC8562690
OpenAlexW3189734721

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.