Evidence map›Paper›PMID 30823373›Full record

ArticleSensors (Basel, Switzerland)2019

Verification of a Portable Motion Tracking System for Remote Management of Physical Rehabilitation of the Knee.

Kevin M Bell, Chukwudi Onyeukwu, Michael P McClincy, Marcus Allen, Laura Bechard, Abhigyan Mukherjee, Robert A Hartman, Clair Smith, Andrew D Lynch, James J Irrgang

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05668312 (Effects of Tele-prehabilitation on Clinical and Muscular Recover in Patients Waiting for Knee Replacement), which is not on this map. Cited by 26 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 1 pooled it
4.5field-weighted citation impact, top 6% 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.

NCT05668312 naunknown statusnot on this mapstarted 2023, after this paper: background citation

Effects of Tele-prehabilitation on Clinical and Muscular Recover in Patients Waiting for Knee Replacement: a Randomized Controlled Trial

TypeinterventionalSponsorI.R.C.C.S Ospedale Galeazzi-Sant'AmbrogioRan2023 to 2025Enrolled68ConditionsKnee OsteoarthritisArmsTele-prehabilitation, Standard prehabilitation
3 · Its place in the literature

Who cites it

26 citing papers in PubMed, 1 synthesis or guideline pooled it, 51 citations in OpenAlex.

  1. Pooled it
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  11. A portable system to measure knee extensor spasticity after spinal cord injury.Journal of neuroengineering and rehabilitation · 2024
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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

10 authors at 1 institution in 1 country.

Kevin M BellDepartment of Orthopaedic Surgery, School of Medicine, University of Pittsburgh, Pittsburgh, PA 15213, USA. kmb7@pitt.edu.ORCID 0000-0003-2099-413X
Chukwudi OnyeukwuDepartment of Orthopaedic Surgery, School of Medicine, University of Pittsburgh, Pittsburgh, PA 15213, USA. Onyeukwu.Chukwudi@medstudent.pitt.edu.
Michael P McClincyDepartment of Orthopaedic Surgery, School of Medicine, University of Pittsburgh, Pittsburgh, PA 15213, USA. mcclincymp@upmc.edu.
Marcus AllenDepartment of Mechanical Engineering and Materials Science, Swanson School of Engineering, University of Pittsburgh, Pittsburgh, PA 15213, USA. mca36@pitt.edu.
Laura BechardDepartment of Orthopaedic Surgery, School of Medicine, University of Pittsburgh, Pittsburgh, PA 15213, USA. leb94@pitt.edu.
Abhigyan MukherjeeSchool of Medicine, University of Pittsburgh, Pittsburgh, PA 15213, USA. mukherab@rutgers.edu.
Robert A HartmanDepartment of Orthopaedic Surgery, School of Medicine, University of Pittsburgh, Pittsburgh, PA 15213, USA. rob.a.hartman@gmail.com.
Clair SmithDepartment of Orthopaedic Surgery, School of Medicine, University of Pittsburgh, Pittsburgh, PA 15213, USA. CNS45@pitt.edu.ORCID 0000-0003-3394-0237
Andrew D LynchDepartment of Physical Therapy, School of Health and Rehabilitation Sciences, University of Pittsburgh, Pittsburgh, PA 15213, USA. adl45@pitt.edu.ORCID 0000-0002-9272-7201
James J IrrgangDepartment of Orthopaedic Surgery, School of Medicine, University of Pittsburgh, Pittsburgh, PA 15213, USA. jirrgang@pitt.edu.
University of Pittsburgh · US

Funding

Pittsburgh Innovation Challenge UL1TR000005University of Pittsburgh PCOR Career Development Program K12 HS 022989-01Wallace H. Coulter Foundation PI: Sanjeev Shroff, PhD
6 · The paper itself

Abstract

Rehabilitation following knee injury or surgery is critical for recovery of function and independence. However, patient non-adherence remains a significant barrier to success. Remote rehabilitation using mobile health (mHealth) technologies have potential for improving adherence to and execution of home exercise. We developed a remote rehabilitation management system combining two wireless inertial measurement units (IMUs) with an interactive mobile application and a web-based clinician portal (interACTION). However, in order to translate interACTION into the clinical setting, it was first necessary to verify the efficacy of measuring knee motion during rehabilitation exercises for physical therapy and determine if visual feedback significantly improves the participant's ability to perform the exercises correctly. Therefore, the aim of this study was to verify the accuracy of the IMU-based knee angle measurement system during three common physical therapy exercises, quantify the effect of visual feedback on exercise performance, and understand the qualitative experience of the user interface through survey data. A convenience sample of ten healthy control participants were recruited for an IRB-approved protocol. Using the interACTION application in a controlled laboratory environment, participants performed ten repetitions of three knee rehabilitation exercises: heel slides, short arc quadriceps contractions, and sit-to-stand. The heel slide exercise was completed without feedback from the mobile application, then all exercises were performed with visual feedback. Exercises were recorded simultaneously by the IMU motion tracking sensors and a video-based motion tracking system. Validation showed moderate to good agreement between the two systems for all exercises and accuracy was within three degrees. Based on custom usability survey results, interACTION was well received. Overall, this study demonstrated the potential of interACTION to measure range of motion during rehabilitation exercises for physical therapy and visual feedback significantly improved the participant's ability to perform the exercises correctly.

Indexed as

AdultExerciseExercise TherapyFeedbackFemaleHumansKnee JointMaleMobile ApplicationsPatient Identification SystemsRange of Motion, ArticularRehabilitationTelerehabilitationWireless TechnologyYoung Adultinertial measurement unitskneemHealthmobile healthphysical therapyrehabilitation

Identifiers

PMID30823373
PMCPMC6427361
OpenAlexW2916406341

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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.