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Biomechanics beyond the lab: Remote technology for osteoarthritis patient data-A scoping review.

作者信息

Hamilton Rebecca I, Williams Jenny, Holt Cathy

机构信息

Musculoskeletal Biomechanics Research Facility, School of Engineering, Cardiff University, Cardiff, United Kingdom.

Osteoarthritis Technology NetworkPlus (OATech+), EPSRC UK-Wide Research Network+, United Kingdom.

出版信息

Front Rehabil Sci. 2022 Nov 14;3:1005000. doi: 10.3389/fresc.2022.1005000. eCollection 2022.


DOI:10.3389/fresc.2022.1005000
PMID:36451804
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9701737/
Abstract

The objective of this project is to produce a review of available and validated technologies suitable for gathering biomechanical and functional research data in patients with osteoarthritis (OA), outside of a traditionally fixed laboratory setting. A scoping review was conducted using defined search terms across three databases (Scopus, Ovid MEDLINE, and PEDro), and additional sources of information from grey literature were added. One author carried out an initial title and abstract review, and two authors independently completed full-text screenings. Out of the total 5,164 articles screened, 75 were included based on inclusion criteria covering a range of technologies in articles published from 2015. These were subsequently categorised by technology type, parameters measured, level of remoteness, and a separate table of commercially available systems. The results concluded that from the growing number of available and emerging technologies, there is a well-established range in use and further in development. Of particular note are the wide-ranging available inertial measurement unit systems and the breadth of technology available to record basic gait spatiotemporal measures with highly beneficial and informative functional outputs. With the majority of technologies categorised as suitable for part-remote use, the number of technologies that are usable and fully remote is rare and they usually employ smartphone software to enable this. With many systems being developed for camera-based technology, such technology is likely to increase in usability and availability as computational models are being developed with increased sensitivities to recognise patterns of movement, enabling data collection in the wider environment and reducing costs and creating a better understanding of OA patient biomechanical and functional movement data.

摘要
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6828/9701737/790358a7c955/fresc-03-1005000-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6828/9701737/e760fe67c183/fresc-03-1005000-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6828/9701737/282db118bc5b/fresc-03-1005000-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6828/9701737/11dfb35031e2/fresc-03-1005000-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6828/9701737/790358a7c955/fresc-03-1005000-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6828/9701737/e760fe67c183/fresc-03-1005000-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6828/9701737/282db118bc5b/fresc-03-1005000-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6828/9701737/11dfb35031e2/fresc-03-1005000-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6828/9701737/790358a7c955/fresc-03-1005000-g004.jpg

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Biomechanics beyond the lab: Remote technology for osteoarthritis patient data-A scoping review.

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引用本文的文献

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本文引用的文献

[1]
The use of technology in the subcategorisation of osteoarthritis: a Delphi study approach.

Osteoarthr Cartil Open. 2020-6-9

[2]
Electronic system for step width estimation using programmable system-on-chip technology and time of flight cameras.

HardwareX. 2020-7-18

[3]
Smartphone Applications for Assessing Ankle Range of Motion in Clinical Practice.

Foot Ankle Orthop. 2019-9-17

[4]
Applications of Wearable Technology in a Real-Life Setting in People with Knee Osteoarthritis: A Systematic Scoping Review.

J Clin Med. 2021-11-30

[5]
American society of biomechanics early career achievement award 2020: Toward portable and modular biomechanics labs: How video and IMU fusion will change gait analysis.

J Biomech. 2021-12-2

[6]
Consensus based framework for digital mobility monitoring.

PLoS One. 2021

[7]
Concurrent assessment of gait kinematics using marker-based and markerless motion capture.

J Biomech. 2021-10-11

[8]
Repurposing an EMG Biofeedback Device for Gait Rehabilitation: Development, Validity and Reliability.

Int J Environ Res Public Health. 2021-6-15

[9]
Moving outside the lab: Markerless motion capture accurately quantifies sagittal plane kinematics during the vertical jump.

J Biomech. 2021-8-26

[10]
Assessment Methods of Post-stroke Gait: A Scoping Review of Technology-Driven Approaches to Gait Characterization and Analysis.

Front Neurol. 2021-6-8

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