Evidence map›Paper›PMID 40363277›Full record

ArticleSensors (Basel, Switzerland)2025

Conventional Training Integrated with SteamVR Tracking 2.0: Body Stability and Coordination Training Evaluation on ICAROS Pro.

Katharina Meiszl, Fabian Ratert, Tessa Schulten, Daniel Wiswede, Lara Kuhlmann de Canaviri, Tobias Potthast, Marc Silberbach, Laurin Hake, Yannik Warnecke, Witold Schiprowski and 3 more

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 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

13 authors.

Katharina MeiszlDepartment of Computer Science, University of Applied Sciences and Arts Dortmund (FH Dortmund), 44227 Dortmund, Germany.ORCID 0000-0003-3402-592X
Fabian RatertDepartment of Computer Science, University of Applied Sciences and Arts Dortmund (FH Dortmund), 44227 Dortmund, Germany.ORCID 0000-0002-1521-4496
Tessa SchultenDepartment of Computer Science, University of Applied Sciences and Arts Dortmund (FH Dortmund), 44227 Dortmund, Germany.ORCID 0000-0001-9535-3703
Daniel WiswedeDepartment of Computer Science, University of Applied Sciences and Arts Dortmund (FH Dortmund), 44227 Dortmund, Germany.ORCID 0000-0002-4557-8717
Lara Kuhlmann de CanaviriDepartment of Computer Science, University of Applied Sciences and Arts Dortmund (FH Dortmund), 44227 Dortmund, Germany.ORCID 0000-0002-8195-7124
Tobias PotthastDepartment of Computer Science, University of Applied Sciences and Arts Dortmund (FH Dortmund), 44227 Dortmund, Germany.ORCID 0000-0002-2847-7877
Marc SilberbachDepartment of Computer Science, University of Applied Sciences and Arts Dortmund (FH Dortmund), 44227 Dortmund, Germany.
Laurin HakeDepartment of Computer Science, University of Applied Sciences and Arts Dortmund (FH Dortmund), 44227 Dortmund, Germany.ORCID 0000-0002-8512-5114
Yannik WarneckeDepartment of Computer Science, University of Applied Sciences and Arts Dortmund (FH Dortmund), 44227 Dortmund, Germany.ORCID 0000-0001-9584-3219
Witold SchiprowskiDepartment of Computer Science, University of Applied Sciences and Arts Dortmund (FH Dortmund), 44227 Dortmund, Germany.
Mathias MerschhemkeTurn- und Sport-Club Eintracht von 1848/95 Korporation zu Dortmund (TSC Eintracht Dortmund), 44139 Dortmund, Germany.
Christoph M FriedrichDepartment of Computer Science, University of Applied Sciences and Arts Dortmund (FH Dortmund), 44227 Dortmund, Germany.ORCID 0000-0001-7906-0038
Raphael BrüngelDepartment of Computer Science, University of Applied Sciences and Arts Dortmund (FH Dortmund), 44227 Dortmund, Germany.ORCID 0000-0002-6046-4048

Funding

University of Applied Sciences and Arts Dortmund, Germany PhD grant for Raphael Brüngel
6 · The paper itself

Abstract

Technological advances continually reduce the effort to digitally transform health-related activities such as rehabilitation and training. Exemplary systems use tracking and vital sign monitoring to assess physical condition and training progress. This paper presents a system for body stability training and coordination evaluation, using cost-efficient tracking and monitoring solutions. It implements the use case of app-guided back posture tracking on the ICAROS Pro training device via SteamVR Tracking 2.0, with pulse and respiration rate monitoring via Zephyr BioHarness 3.0. A longitudinal study on training effects with 20 subjects was conducted, involving a representative procedure created with a sports manager. Posture errors served as the main progress indicator, and pulse and respiration rates as co-indicators. Outcomes suggest the system's capabilities to foster comprehension of effects and steering of exercises. Further, a secondary study presents a self-developed VR-based exergame demo for future system expansion. The Empatica EmbracePlus smartwatch was used as an alternative for vital sign acquisition. The user experiences of five subjects gathered via a survey highlight its motivating and entertaining character. For both the main and secondary studies, a thorough discussion elaborates on potentials and current limitations. The developed training system can serve as template and be adjusted for further use cases, and the exergame's reception revealed prospective extension directions. Software components are available via GitHub.

Indexed as

Postural BalanceAdultExerciseFemaleHeart RateHumansLongitudinal StudiesMaleMonitoring, PhysiologicPostureRespiratory RateYoung Adultapp-guided trainingbody stability and coordinationexergameICAROS ProSteamVR Tracking 2.0virtual reality

Identifiers

PMID40363277
PMCPMC12074322

What OpenQuestion holds

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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.