Evidence map›Paper›PMID 40648199›Full record

ArticleSensors (Basel, Switzerland)2025

Consistency Is Key: A Secondary Analysis of Wearable Motion Sensor Accuracy Measuring Knee Angles Across Activities of Daily Living Before and After Knee Arthroplasty.

Robert C Marchand, Kelly B Taylor, Emily C Kaczynski, Skye Richards, Jayson B Hutchinson, Shayan Khodabakhsh, Ryan M Chapman

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2025. 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. Review
  2. Review
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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

7 authors.

Robert C MarchandOrtho Rhode Island, Wakefield, RI 02879, USA.
Kelly B TaylorOrtho Rhode Island, Wakefield, RI 02879, USA.
Emily C KaczynskiOrtho Rhode Island, Wakefield, RI 02879, USA.
Skye RichardsDepartment Kinesiology, University of Rhode Island, Kingston, RI 02881, USA.
Jayson B HutchinsonDepartment Kinesiology, University of Rhode Island, Kingston, RI 02881, USA.
Shayan KhodabakhshDepartment Kinesiology, University of Rhode Island, Kingston, RI 02881, USA.ORCID 0009-0001-8834-9666
Ryan M ChapmanDepartment Kinesiology, University of Rhode Island, Kingston, RI 02881, USA.ORCID 0000-0001-7072-7334

Funding

Stryker Orthopaedics AWD10616
6 · The paper itself

Abstract

backgroundMonitoring knee range of motion (ROM) after total knee arthroplasty (TKA) via clinically deployed wearable motion sensors is increasingly common. Prior work from our own lab showed promising results in one wearable motion sensor system; however, we did not investigate errors across different activities. Accordingly, herein we conducted secondary analyses of error using wearable inertial measurement units (IMUs) quantifying sagittal knee angles across activities in TKA patients.

methodsAfter Institutional Review Board (IRB) approval, TKA patients were recruited for participation in two visits (

resultsPre-TKA/post-TKA errors were not different. No differences were noted across activities. On average, the errors were under clinically acceptable thresholds (i.e., 4.9 ± 2.6° vs. ≤5°).

conclusionsWith average error ≤ 5°, these specific sensors accurately quantify knee angles before/after surgical intervention. Future investigations should explore leveraging this type of technology to evaluate preoperative function decline and postoperative function recovery.

Indexed as

Activities of Daily LivingArthroplasty, Replacement, KneeKnee JointWearable Electronic DevicesAgedFemaleHumansMaleMiddle AgedMonitoring, PhysiologicRange of Motion, ArticularIMUkinematicsknee replacementorthopaedicsROMtelehealthwearable motion sensor

Identifiers

PMID40648199
PMCPMC12251937

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Registered trials

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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.