Evidence map›Paper›PMID 37663049›Full record

ArticleCurrent opinion in biomedical engineering2023

Wearable sensing for understanding and influencing human movement in ecological contexts.

Peter Gabriel Adamczyk, Sara E Harper, Alex J Reiter, Rebecca A Roembke, Yisen Wang, Kieran M Nichols, Darryl G Thelen

Abstract read
In one paragraph

Article in Current opinion in biomedical engineering, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

7 authors.

Peter Gabriel AdamczykUniversity of Wisconsin - Madison, Department of Mechanical Engineering, 1513 University Ave., Madison, Wisconsin, USA.
Sara E HarperUniversity of Wisconsin - Madison, Department of Biomedical Engineering, 1550 Engineering Dr., Madison, Wisconsin, USA.
Alex J ReiterUniversity of Wisconsin - Madison, Department of Mechanical Engineering, 1513 University Ave., Madison, Wisconsin, USA.
Rebecca A RoembkeUniversity of Wisconsin - Madison, Department of Mechanical Engineering, 1513 University Ave., Madison, Wisconsin, USA.
Yisen WangUniversity of Wisconsin - Madison, Department of Mechanical Engineering, 1513 University Ave., Madison, Wisconsin, USA.
Kieran M NicholsUniversity of Wisconsin - Madison, Department of Mechanical Engineering, 1513 University Ave., Madison, Wisconsin, USA.
Darryl G ThelenUniversity of Wisconsin - Madison, Department of Mechanical Engineering, 1513 University Ave., Madison, Wisconsin, USA.

Funding

NRSA Training CoreTL1TR002375 · NCATS · UNIVERSITY OF WISCONSIN-MADISON · PI Vivek Prabhakaran · 2017 to 2026
$8.4M
Wearable shear-wave tensiometry for tracking tendon load during dynamic movementR42AR074897 · NIAMS · DESIGN CONCEPTS, INC · PI ADAMCZYK, PETER G, THELEN, DARRYL G · 2020 to 2022
$1.6M
Wearable Shear Wave Tensiometry for Tracking Tendon Load during Dynamic MovementR41AR074897 · NIAMS · DESIGN CONCEPTS, INC · PI ADAMCZYK, PETER G · 2018 to 2018
$225k
NCATS NIH HHS TL1 TR002375NIAMS NIH HHS R41 AR074897NIAMS NIH HHS R42 AR074897
6 · The paper itself

Abstract

Wearable sensors offer a unique opportunity to study movement in ecological contexts - that is, outside the laboratory where movement happens in ordinary life. This article discusses the purpose, means, and impact of using wearable sensors to assess movement context, kinematics, and kinetics during locomotion, and how this information can be used to better understand and influence movement. We outline the types of information wearable sensors can gather and highlight recent developments in sensor technology, data analysis, and applications. We close with a vision for important future research and key questions the field will need to address to bring the potential benefits of wearable sensing to fruition.

Indexed as

biomechanicslocomotionwearable sensors

Identifiers

PMID37663049
PMCPMC10469849

What OpenQuestion holds

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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.