Evidence map›Paper›PMID 35049742›Full record

ReviewBioengineering (Basel, Switzerland)2022

Wearables for Biomechanical Performance Optimization and Risk Assessment in Industrial and Sports Applications.

Sam McDevitt, Haley Hernandez, Jamison Hicks, Russell Lowell, Hamza Bentahaikt, Reuben Burch, John Ball, Harish Chander, Charles Freeman, Courtney Taylor and 1 more

Abstract readReview
In one paragraph

Review in Bioengineering (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 1 pooled it
–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

24 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

11 authors.

Sam McDevittDepartment of Electrical & Computer Engineering, Mississippi State University, Starkville, MS 39765, USA.
Haley HernandezDepartment of Electrical & Computer Engineering, Mississippi State University, Starkville, MS 39765, USA.
Jamison HicksDepartment of Industrial & Systems Engineering, Mississippi State University, Starkville, MS 39765, USA.
Russell LowellNeuromechanics Laboratory, Department of Kinesiology, Mississippi State University, Starkville, MS 39765, USA.
Hamza BentahaiktDepartment of Mechanical Engineering, Mississippi State University, Starkville, MS 39765, USA.
Reuben BurchDepartment of Industrial & Systems Engineering, Mississippi State University, Starkville, MS 39765, USA.ORCID 0000-0003-2944-1945
John BallDepartment of Electrical & Computer Engineering, Mississippi State University, Starkville, MS 39765, USA.ORCID 0000-0002-6774-4851
Harish ChanderNeuromechanics Laboratory, Department of Kinesiology, Mississippi State University, Starkville, MS 39765, USA.ORCID 0000-0001-9427-2936
Charles FreemanDepartment of Human Sciences, Mississippi State University, Starkville, MS 39765, USA.
Courtney TaylorAccelerate MS, Jackson, MS 39201, USA.
Brock AndersonErgo-Ology, Atlanta, GA 31139, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Wearable technologies are emerging as a useful tool with many different applications. While these devices are worn on the human body and can capture numerous data types, this literature review focuses specifically on wearable use for performance enhancement and risk assessment in industrial- and sports-related biomechanical applications. Wearable devices such as exoskeletons, inertial measurement units (IMUs), force sensors, and surface electromyography (EMG) were identified as key technologies that can be used to aid health and safety professionals, ergonomists, and human factors practitioners improve user performance and monitor risk. IMU-based solutions were the most used wearable types in both sectors. Industry largely used biomechanical wearables to assess tasks and risks wholistically, which sports often considered the individual components of movement and performance. Availability, cost, and adoption remain common limitation issues across both sports and industrial applications.

Indexed as

athleticsbiomechanicsexoskeletonperformance optimizationrisk assessmentwearable ergonomicswearables

Identifiers

PMID35049742
PMCPMC8772827

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.