Evidence map›Paper›PMID 35009741›Full record

ArticleSensors (Basel, Switzerland)2021

RGB-D-Based Method for Measuring the Angular Range of Hip and Knee Joints during Home Care Rehabilitation.

Francesca Uccheddu, Rocco Furferi, Lapo Governi, Monica Carfagni

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

4 authors.

Francesca UcchedduDipartimento Ingegneria Industriale, Università di Padova, Via Venezia 1, 35131 Padova, Italy.
Rocco FurferiDipartimento Ingegneria Industriale, Università di Firenze, Via Santa Marta 3, 50100 Firenze, Italy.ORCID 0000-0001-6771-5981
Lapo GoverniDipartimento Ingegneria Industriale, Università di Firenze, Via Santa Marta 3, 50100 Firenze, Italy.ORCID 0000-0002-7417-3487
Monica CarfagniDipartimento Ingegneria Industriale, Università di Firenze, Via Santa Marta 3, 50100 Firenze, Italy.

Funding

Tuscany Region 7165_24-05-2017
6 · The paper itself

Abstract

Home-based rehabilitation is becoming a gold standard for patient who have undergone knee arthroplasty or full knee replacement, as it helps healthcare costs to be minimized. Nevertheless, there is a chance of increasing adverse health effects in case of home care, primarily due to the patients' lack of motivation and the doctors' difficulty in carrying out rigorous supervision. The development of devices to assess the efficient recovery of the operated joint is highly valued both for the patient, who feels encouraged to perform the proper number of activities, and for the doctor, who can track him/her remotely. Accordingly, this paper introduces an interactive approach to angular range calculation of hip and knee joints based on the use of low-cost devices which can be operated at home. First, the patient's body posture is estimated using a 2D acquisition method. Subsequently, the 3D posture is evaluated by using the depth information coming from an RGB-D sensor. Preliminary results show that the proposed method effectively overcomes many limitations by fusing the results obtained by the state-of-the-art robust 2D pose estimation algorithms with the 3D data of depth cameras by allowing the patient to be correctly tracked during rehabilitation exercises.

Indexed as

Arthroplasty, Replacement, KneeHome Care ServicesExercise TherapyFemaleHumansKnee JointMalePosture3D modelbody trackingdata fusionjoints estimationRGB-D camera

Identifiers

PMID35009741
PMCPMC8749510

What OpenQuestion holds

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LicenceCC BY
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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.