Abstract
Inertial sensors for analysing some biomechanics conditions have long been studied in the medical and sports fields. In order to improve any qualitative assessment related to detecting the degree of injury and the range of motion in the cervical area, the system needs to be robust enough. It is important to detect purposefully altered data, reduce subjective variables effect (such as pain or discomfort) and accurately determine the impairment or dysfunction levels. The first aim of this work was to produce a multi-sensor database for the cervical area by gathering data from an inertial system, from an EEG head-set and from a thermographic camera. This complete set of information can provide further insight when researchers try to develop an objective diagnostic algorithm or improve intelligent diagnostic systems.
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Acknowledgements
This work has been supported by FEDER and MEC, TEC2016-77791-C4-2-R.
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Font, X., Paul, C., Moreno, J. (2019). Multi-sensor Database for Cervical Area: Inertial, EEG and Thermography Data. In: Esposito, A., Faundez-Zanuy, M., Morabito, F., Pasero, E. (eds) Quantifying and Processing Biomedical and Behavioral Signals. WIRN 2017 2017. Smart Innovation, Systems and Technologies, vol 103. Springer, Cham. https://doi.org/10.1007/978-3-319-95095-2_11
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DOI: https://doi.org/10.1007/978-3-319-95095-2_11
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