Evidence map›Paper›PMID 38982087›Full record

ArticleNature communications2024

Estimation of joint torque in dynamic activities using wearable A-mode ultrasound.

Yichu Jin, Jonathan T Alvarez, Elizabeth L Suitor, Krithika Swaminathan, Andrew Chin, Umut S Civici, Richard W Nuckols, Robert D Howe, Conor J Walsh

Abstract read
In one paragraph

Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. A framework for quantifying the mechanics of dexterous grasp.bioRxiv : the preprint server for biology · 2026
    Article
  6. Article
  7. Unperceivable Designs of Wearable Electronics.Advanced materials (Deerfield Beach, Fla.) · 2025
    Review
  8. Wearable Bioelectronics for Home-Based Monitoring and Treatment of Muscle Atrophy.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Review
  9. Review
  10. Review
  11. [Feasibility study on biomechanical indicators as supplementary evaluation to Musculoskeletal Tumor Society Scoring System for amputee patients].Zhongguo xiu fu chong jian wai ke za zhi = Zhongguo xiufu chongjian waike zazhi = Chinese journal of reparative and reconstructive surgery · 2025
    Article
  12. Article
  13. Emerging Wearable Acoustic Sensing Technologies.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Review
  14. Article
  15. Article
  16. 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

9 authors.

Yichu JinJohn A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, USA.ORCID 0009-0000-5167-0950
Jonathan T AlvarezJohn A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, USA.ORCID 0000-0003-0679-895X
Elizabeth L SuitorJohn A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, USA.
Krithika SwaminathanJohn A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, USA.ORCID 0000-0001-7570-1408
Andrew ChinJohn A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, USA.ORCID 0009-0008-9523-6097
Umut S CiviciJohn A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, USA.ORCID 0000-0002-2607-218X
Richard W NuckolsJohn A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, USA.
Robert D HoweJohn A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, USA.ORCID 0000-0002-1392-227X
Conor J WalshJohn A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, USA. walsh@seas.harvard.edu.ORCID 0000-0002-2744-917X

Funding

Real-time quantification of muscle-tendon dynamics for individualized and adaptive robot-assisted locomotionR21AR076686 · NIAMS · HARVARD UNIVERSITY · PI HOWE, ROBERT D · 2020 to 2021
$415k
National Science Foundation (NSF) DGE2140743NIAMS NIH HHS R21 AR076686U.S. Department of Health & Human Services | National Institutes of Health (NIH) R21AR076686
6 · The paper itself

Abstract

The human body constantly experiences mechanical loading. However, quantifying internal loads within the musculoskeletal system remains challenging, especially during unconstrained dynamic activities. Conventional measures are constrained to laboratory settings, and existing wearable approaches lack muscle specificity or validation during dynamic movement. Here, we present a strategy for estimating corresponding joint torque from muscles with different architectures during various dynamic activities using wearable A-mode ultrasound. We first introduce a method to track changes in muscle thickness using single-element ultrasonic transducers. We then estimate elbow and knee torque with errors less than 7.6% and coefficients of determination (R

Indexed as

Muscle, SkeletalTorqueUltrasonographyWearable Electronic DevicesAdultBiomechanical PhenomenaElbow JointFemaleHumansJointsKnee JointMaleMovementMuscle ContractionYoung Adult

Identifiers

PMID38982087
PMCPMC11233567

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.