Evidence map›Paper›PMID 33228137›Full record

SynthesisSensors (Basel, Switzerland)2020

Effects of Wearable Devices with Biofeedback on Biomechanical Performance of Running-A Systematic Review.

Alexandra Giraldo-Pedroza, Winson Chiu-Chun Lee, Wing-Kai Lam, Robyn Coman, Gursel Alici

Open access · goldAbstract readSystematic Review
In one paragraph

Synthesis in Sensors (Basel, Switzerland), 2020. 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
0.9field-weighted citation impact, top 29% 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

10 citing papers in PubMed, 19 citations in OpenAlex.

  1. Use of the STRYDSports (Basel, Switzerland) · 2026
    Review
  2. Review
  3. Article
  4. Article
  5. Article
  6. Connected model to optimize performance.Frontiers in sports and active living · 2022
    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

5 authors at 2 institutions in 2 countries.

Alexandra Giraldo-PedrozaSchool of Mechanical, Materials, Mechatronic and Biomedical Engineering, Faculty of Engineering and Information Sciences, University of Wollongong, Wollongong, NSW 2522, Australia.ORCID 0000-0002-9487-9735
Winson Chiu-Chun LeeSchool of Mechanical, Materials, Mechatronic and Biomedical Engineering, Faculty of Engineering and Information Sciences, University of Wollongong, Wollongong, NSW 2522, Australia.ORCID 0000-0003-2119-7108
Wing-Kai LamDepartment of Kinesiology, Shenyang Sport University, Shenyang 110102, China.
Robyn ComanSchool of Health and Society, Faculty of Arts, Social Sciences & Humanities, University of Wollongong, Wollongong, NSW 2522, Australia.ORCID 0000-0003-2713-7376
Gursel AliciSchool of Mechanical, Materials, Mechatronic and Biomedical Engineering, Faculty of Engineering and Information Sciences, University of Wollongong, Wollongong, NSW 2522, Australia.ORCID 0000-0001-6527-2881
University of Wollongong · AUShenyang Sport University · CN

Funding

Li Ning Sports Science Research Center 0000University of Wollongong 0000
6 · The paper itself

Abstract

This present review includes a systematic search for peer-reviewed articles published between March 2009 and March 2020 that evaluated the effects of wearable devices with biofeedback on the biomechanics of running. The included articles did not focus on physiological and metabolic metrics. Articles with patients, animals, orthoses, exoskeletons and virtual reality were not included. Following the PRISMA guidelines, 417 articles were first identified, and nineteen were selected following the removal of duplicates and articles which did not meet the inclusion criteria. Most reviewed articles reported a significant reduction in positive peak acceleration, which was found to be related to tibial stress fractures in running. Some previous studies provided biofeedback aiming to increase stride frequencies. They produced some positive effects on running, as they reduced vertical load in knee and ankle joints and vertical displacement of the body and increased knee flexion. Some other parameters, including contact ground time and speed, were fed back by wearable devices for running. Such devices reduced running time and increased swing phase time. This article reviews challenges in this area and suggests future studies can evaluate the long-term effects in running biomechanics produced by wearable devices with biofeedback.

Indexed as

RunningWearable Electronic DevicesBiofeedback, PsychologyBiomechanical PhenomenaFemaleGaitHumansMalebiofeedbackbiomechanicsgait retrainingperformancerunningtechniquewearable device

Identifiers

PMID33228137
PMCPMC7699362
OpenAlexW3102167143

What Socratic 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 Socratic graph.