Evidence map›Paper›PMID 40573705›Full record

ArticleSensors (Basel, Switzerland)2025

The Reliability and Validity of an Instrumented Device for Tracking the Shoulder Range of Motion.

Rachel E Roos, Jennifer Lambiase, Michelle Riffitts, Leslie Scholle, Simran Kulkarni, Connor L Luck, Dharma Parmanto, Vayu Putraadinatha, Made D Yoga, Stephany N Lang and 9 more

Abstract read
PubMed Full text at PMC Publisher
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 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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

19 authors.

Rachel E RoosDepartment of Bioengineering, University of Pittsburgh, Pittsburgh, PA 15260, USA.ORCID 0009-0009-3676-0873
Jennifer Lambiaseēlizur, Pittsburgh, PA 15237, USA.
Michelle RiffittsDepartment of Bioengineering, University of Pittsburgh, Pittsburgh, PA 15260, USA.ORCID 0000-0003-0921-9650
Leslie ScholleDepartment of Bioengineering, University of Pittsburgh, Pittsburgh, PA 15260, USA.
Simran KulkarniDepartment of Bioengineering, University of Pittsburgh, Pittsburgh, PA 15260, USA.ORCID 0009-0006-7996-0216
Connor L LuckDepartment of Orthopaedic Surgery, University of Pittsburgh, Pittsburgh, PA 15213, USA.
Dharma ParmantoDepartment of Health Information Management, University of Pittsburgh, Pittsburgh, PA 15260, USA.
Vayu PutraadinathaDepartment of Health Information Management, University of Pittsburgh, Pittsburgh, PA 15260, USA.
Made D YogaDepartment of Health Information Management, University of Pittsburgh, Pittsburgh, PA 15260, USA.
Stephany N Langēlizur, Pittsburgh, PA 15237, USA.
Erica Tatkoēlizur, Pittsburgh, PA 15237, USA.
Jim Grantēlizur, Pittsburgh, PA 15237, USA.
Jennifer I OakleyDepartment of Orthopaedic Surgery, University of Pittsburgh, Pittsburgh, PA 15213, USA.
Ashley DisantisDepartment of Physical Therapy, Duquesne University, Pittsburgh, PA 15282, USA.
Andi SaptonoDepartment of Health Information Management, University of Pittsburgh, Pittsburgh, PA 15260, USA.
Bambang ParmantoDepartment of Health Information Management, University of Pittsburgh, Pittsburgh, PA 15260, USA.
Adam PopchakDepartment of Physical Therapy, University of Pittsburgh, Pittsburgh, PA 15219, USA.ORCID 0000-0002-4932-6541
Michael P McClincyDepartment of Orthopaedic Surgery, University of Pittsburgh, Pittsburgh, PA 15213, USA.
Kevin M BellDepartment of Bioengineering, University of Pittsburgh, Pittsburgh, PA 15260, USA.ORCID 0000-0003-2099-413X

Funding

NIH HHS 1R41AR079357-01A1University of Pittsburgh Clinical and Translational Science Institute: Pitt Innovation Challenge Program 2023
6 · The paper itself

Abstract

Rotator cuff tears are common in individuals over 40, and physical therapy is often prescribed post-surgery. However, access can be limited by cost, convenience, and insurance coverage. CuffLink is a telehealth rehabilitation system that integrates the Strengthening and Stabilization System mechanical exerciser with the interACTION mobile health platform. The system includes a triple-axis accelerometer (LSM6DSOX + LIS3MDL FeatherWing), a rotary encoder, a VL530X time-of-flight sensor, and two wearable BioMech Health IMUs to capture upper-limb motion. CuffLink is designed to facilitate controlled, home-based exercise while enabling clinicians to remotely monitor joint function. Concurrent validity and test-retest reliability were used to assess device accuracy and repeatability. The results showed moderate to good validity for shoulder rotation (ICC = 0.81), device rotation (ICC = 0.94), and linear tracking (from zero: ICC = 0.75 and RMSE = 2.41; from start: ICC = 0.88 and RMSE = 2.02) and good reliability (e.g., RMSEs as low as 1.66 cm), with greater consistency in linear tracking compared to angular measures. Shoulder rotation and abduction exhibited higher variability in both validity and reliability measures. Future improvements will focus on manufacturability, signal stability, and force sensing. CuffLink supports accessible, data-driven rehabilitation and holds promise for advancing digital health in orthopedic recovery.

Indexed as

Range of Motion, ArticularShoulderAccelerometryAdultFemaleHumansMaleReproducibility of ResultsRotator CuffRotator Cuff InjuriesTelemedicineWearable Electronic Devicesinertial measurement unitreliabilityrotator cuff repairvalidity

Identifiers

PMID40573705
PMCPMC12197020

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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.