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A systematic review of diagnostic accuracy and clinical applications of wearable movement sensors for knee joint rehabilitation

  • In clinical practice, only a few reliable measurement instruments are available for monitoring knee joint rehabilitation. Advances to replace motion capturing with sensor data measurement have been made in the last years. Thus, a systematic review of the literature was performed, focusing on the implementation, diagnostic accuracy, and facilitators and barriers of integrating wearable sensor technology in clinical practices based on a Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) statement. For critical appraisal, the COSMIN Risk of Bias tool for reliability and measurement of error was used. PUBMED, Prospero, Cochrane database, and EMBASE were searched for eligible studies. Six studies reporting reliability aspects in using wearable sensor technology at any point after knee surgery in humans were included. All studies reported excellent results with high reliability coefficients, high limits of agreement, or a few detectable errors. They used different or partly inappropriate methods for estimatingIn clinical practice, only a few reliable measurement instruments are available for monitoring knee joint rehabilitation. Advances to replace motion capturing with sensor data measurement have been made in the last years. Thus, a systematic review of the literature was performed, focusing on the implementation, diagnostic accuracy, and facilitators and barriers of integrating wearable sensor technology in clinical practices based on a Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) statement. For critical appraisal, the COSMIN Risk of Bias tool for reliability and measurement of error was used. PUBMED, Prospero, Cochrane database, and EMBASE were searched for eligible studies. Six studies reporting reliability aspects in using wearable sensor technology at any point after knee surgery in humans were included. All studies reported excellent results with high reliability coefficients, high limits of agreement, or a few detectable errors. They used different or partly inappropriate methods for estimating reliability or missed reporting essential information. Therefore, a moderate risk of bias must be considered. Further quality criterion studies in clinical settings are needed to synthesize the evidence for providing transparent recommendations for the clinical use of wearable movement sensors in knee joint rehabilitation.show moreshow less

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Author details:Robert PrillORCiDGND, Marina Walter, Aleksandra KrólikowskaORCiD, Roland Becker
DOI:https://doi.org/10.3390/s21248221
ISSN:1424-8220
Title of parent work (English):Sensors
Publisher:MDPI
Place of publishing:Basel
Publication type:Article
Language:English
Date of first publication:2021/12/09
Publication year:2021
Release date:2024/01/17
Tag:IMU; clinical; motion capture; orthopedic; reliability; wearable movement sensor
Volume:21
Issue:24
Article number:8221
Number of pages:14
Funding institution:MHB Open Access Publication Fund - German Research Association (DFG)German Research Foundation (DFG)
Organizational units:An-Institute / Hasso-Plattner-Institut für Digital Engineering gGmbH
DDC classification:6 Technik, Medizin, angewandte Wissenschaften / 62 Ingenieurwissenschaften / 620 Ingenieurwissenschaften und zugeordnete Tätigkeiten
Peer review:Referiert
Publishing method:Open Access / Gold Open-Access
DOAJ gelistet
License (German):License LogoCC-BY - Namensnennung 4.0 International
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