Data for "Influence of controlled masticatory muscle activity on dynamic reactive balance"

DOI

The research project "Influence of the craniomandibular system on human postural control" is funded by the German Research Foundation (DFG). The aim of the project is to investigate for the first time the influences of controlled motor activity of the craniomandibular system (CMS) on human postural control in predictable and non-predictable dynamic situations. For this purpose, the movements of participants during different dynamic equilibrium tasks are recorded in the kinematic and muscular level, and analyzed using methods that are directly derived from current models of motor control. With this interdisciplinary research approach, previous research work will be continued in a targeted manner in order to comprehensively understand the influence of the CMS on postural control processes.

In this experiment, 48 physically active adults aged between 18 and 30 years are tested. The experimental design includes one measurement time. An oscillating stability platform, Posturomed (Haider-Bioswing, Weiden, Germany) is used to evaluate the postural dynamic reactive stability.

o Raw data o Fully labeled data o Demographic (gender) and anthropometric (e.g., height, weight) data o Methods are described in the referred paper

Infrared camera-based motion capturing: Vicon Motion Systems; Oxford Metrics Group, Oxford, UK; 10 Vantage V8 and 6 Vero V2.2 cameras; 200 Hz

Wireless EMG system: Noraxon U.S.A., Inc.; Scottsdale, AZ, USA; 2,000 Hz; Bipolar Ag/AgCl surface electrodes with a diameter 14 mm

Identifier
DOI https://doi.org/10.35097/nuabf8ah1h150hc9
Related Identifier IsSupplementTo https://doi.org/10.1111/joor.13284
Metadata Access https://www.radar-service.eu/oai/OAIHandler?verb=GetRecord&metadataPrefix=datacite&identifier=10.35097/nuabf8ah1h150hc9
Provenance
Creator Kettner, Cagla (ORCID: 0000-0003-4283-281X); Stein, Thorsten ORCID logo
Publisher Karlsruhe Institute of Technology
Contributor RADAR
Publication Year 2026
Funding Reference Deutsche Forschungsgemeinschaft https://doi.org/10.13039/501100001659 Crossref Funder ID 427937447
Rights Open Access; Creative Commons Attribution Share Alike 4.0 International; info:eu-repo/semantics/openAccess; https://creativecommons.org/licenses/by-sa/4.0/legalcode
OpenAccess true
Representation
Language English
Resource Type Dataset
Format application/x-tar
Size 44,5 GB
Discipline Life Sciences
Temporal Coverage 2019-2023