Evidence map›Paper›PMID 29738442›Full record

ArticleSensors (Basel, Switzerland)2018

A Telerehabilitation System for the Selection, Evaluation and Remote Management of Therapies.

David Anton, Idoia Berges, Jesús Bermúdez, Alfredo Goñi, Arantza Illarramendi

3 registry-linked trialsAbstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 3 registered trials, which are not on this map. Cited by 28 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed, 1 pooled it
–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.

NCT06498453 nacompletednot on this mapstarted 2022, after this paper: background citation

A Randomized Clinical Trial to Evaluate the Effectiveness of Telerehabilitation With Trak in Patients With Knee or Shoulder Pathology.

TypeinterventionalSponsorTrak Health Solutions S.L.Ran2022 to 2023Enrolled40ConditionsShoulder Injury, Knee InjuryArmsTrak-Physio knee condition, Trak-Physio in shoulder condition, Knee conventional rehabilitation program, Shoulder conventional rehabilitation program
NCT06699875 nacompletednot on this mapstarted 2023, after this paper: background citation

Comparative Study of the Effectiveness Between Models of Conventional Therapy vs Telerehabilitation With TRAK in Patients Undergoing Axillary Lymph Node Removal (Axillary Lymphadenectomy) as Part of Therapy Against Breast Cancer.

TypeinterventionalSponsorTrak Health Solutions S.L.Ran2023 to 2026Enrolled40ConditionsBreast Cancer FemaleArmsTrak exercise prescription protocol at home, Conventional rehabilitation plan at home
NCT06720779 narecruitingnot on this mapstarted 2024, after this paper: background citation

A Randomized Clinical Trial to Evaluate the Effectiveness of Telerehabilitation With Trak in Combination With the Traditional Treatment in Patients Who Have Undergone Knee Prothesis Surgery

TypeinterventionalSponsorTrak Health Solutions S.L.Ran2024 to 2025Enrolled20ConditionsKnee ArthropathyArmsTRAK physio knee prosthesis protocol, Knee conventional rehabilitation program
3 · Its place in the literature

Who cites it

28 citing papers in PubMed, 1 synthesis or guideline pooled it.

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  17. Process of Posthospital Care Involving Telemedicine Solutions for Patients after Total Hip Arthroplasty.International journal of environmental research and public health · 2021
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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

5 authors.

David AntonDepartment of Electrical Engineering & Computer Sciences, University of California, Berkeley, CA 94720, USA. davidantonsaez@eecs.berkeley.edu.
Idoia BergesDepartment of Languages and Information Systems, University of the Basque Country UPV/EHU, 20018 Donostia-San Sebastián, Spain. idoia.berges@ehu.eus.
Jesús BermúdezDepartment of Languages and Information Systems, University of the Basque Country UPV/EHU, 20018 Donostia-San Sebastián, Spain. jesus.bermudez@ehu.eus.
Alfredo GoñiDepartment of Languages and Information Systems, University of the Basque Country UPV/EHU, 20018 Donostia-San Sebastián, Spain. alfredo@ehu.eus.
Arantza IllarramendiDepartment of Languages and Information Systems, University of the Basque Country UPV/EHU, 20018 Donostia-San Sebastián, Spain. a.illarramendi@ehu.eus.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Telerehabilitation systems that support physical therapy sessions anywhere can help save healthcare costs while also improving the quality of life of the users that need rehabilitation. The main contribution of this paper is to present, as a whole, all the features supported by the innovative Kinect-based Telerehabilitation System (KiReS). In addition to the functionalities provided by current systems, it handles two new ones that could be incorporated into them, in order to give a step forward towards a new generation of telerehabilitation systems. The knowledge extraction functionality handles knowledge about the physical therapy record of patients and treatment protocols described in an ontology, named TrhOnt, to select the adequate exercises for the rehabilitation of patients. The teleimmersion functionality provides a convenient, effective and user-friendly experience when performing the telerehabilitation, through a two-way real-time multimedia communication. The ontology contains about 2300 classes and 100 properties, and the system allows a reliable transmission of Kinect video depth, audio and skeleton data, being able to adapt to various network conditions. Moreover, the system has been tested with patients who suffered from shoulder disorders or total hip replacement.

Indexed as

User-Computer InterfaceArthroplasty, Replacement, HipDatabases, FactualExerciseHip FracturesHumansRange of Motion, ArticularShoulder InjuriesTelerehabilitationeHealthKinecttelemedicinetelerehabilitationvirtual therapy

Identifiers

PMID29738442
PMCPMC5982396

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.