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Potential Use of Wearable Inertial Sensors to Assess and Train Deep Cervical Flexors: A Feasibility Study with Real Time Synchronization of Kinematic and Pressure Data during the Craniocervical Flexion Test

  • The aim of the study was to develop a novel real-time, computer-based synchronization system to continuously record pressure and craniocervical flexion ROM (range of motion) during the CCFT (craniocervical flexion test) in order to assess its feasibility for measuring and discriminating the values of ROM between different pressure levels. This was a descriptive, observational, crosssectional, feasibility study. Participants performed a full-range craniocervical flexion and the CCFT. During the CCFT, a pressure sensor and a wireless inertial sensor simultaneously registered data of pressure and ROM. A web application was developed using HTML and NodeJS technologies. Forty-five participants successfully finished the study protocol (20 males, 25 females; 32 (11.48) years). ANOVAs showed large effect significant interactions between pressure levels and the percentage of full craniocervical flexion ROM when considering the 6 pressure reference levels of the CCFT (p < 0.001; η 2 = 0.697), 11 pressure levels separated by 1 mmHg (p < 0.001; η 2 = 0.683), and 21 pressure levels separated by 0.5 mmHg (p < 0.001; η 2 = 0.671). The novel time synchronizing system seems a feasible option to provide real-time monitoring of both pressure and ROM, which could serve as reference targets to further investigate the potential use of inertial sensor technology to assess or train deep cervical flexors.

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Metadaten
Author:Elena Bocos-Corredor, Tomás Pérez-Fernández, Raquel Perez-Dominguez, Sonia Liébana, Susan Armijo-OlivoORCiD, Rafael Raya, Aitor Martin-Pintado-Zugasti
Title (English):Potential Use of Wearable Inertial Sensors to Assess and Train Deep Cervical Flexors: A Feasibility Study with Real Time Synchronization of Kinematic and Pressure Data during the Craniocervical Flexion Test
URN:urn:nbn:de:bsz:959-opus-62954
DOI:https://doi.org/10.3390/s23083911
ISSN:1424-8220
Parent Title (English):Sensors
Document Type:Article
Language:English
Year of Completion:2023
Release Date:2024/06/07
Tag:assessment technology; biomechanics feasibility studies; movement disorders; neck pain
Volume:23
Issue:8
Article Number:3911
Page Number:11
Faculties:Fakultät WiSo
DDC classes:600 Technik, Medizin, angewandte Wissenschaften / 610 Medizin, Gesundheit
Review Status:Peer Reviewed
Licence (German):License LogoCreative Commons - CC BY - Namensnennung 4.0 International