A wearable multi-sensor system for real world gait analysis
Creators
- 1. Department of Biomedical Sciences, University of Sassari, Sassari, Italy
- 2. Department of Mechanical Engineering, Insigneo Institute, University of Sheffield, Sheffield, UK
- 3. Department of Electronics and Telecommunications, PolitoBIOMed Lab – Biomedical Engineering Lab, Politecnico di Torino, Torino, Italy
- 4. Department of Electronics and Telecommunications, Politecnico di Torino, Torino, Italy
Description
Gait analysis is commonly performed in standardized environments, but there is a growing interest in assessing gait also in ecological conditions. In this regard, an important limitation is the lack of an accurate mobile gold standard for validating any wearable system, such as continuous monitoring devices mounted on the trunk or wrist. This study therefore deals with the development and validation of a new wearable multi-sensor-based system for digital gait assessment in free-living conditions. In particular, results obtained from five healthy subjects during lab-based and realworld experiments were presented and discussed. The in-lab validation, which assessed the accuracy and reliability of the proposed system, shows median percentage errors smaller than 2% in the estimation of spatio-temporal parameters. The system also proved to be easy to use, comfortable to wear and robust during the out-of-lab acquisitions, showing its feasibility for free-living applications.
This work was supported by the Mobilise-D project that has received funding from the Innovative Medicines Initiative 2 Joint Undertaking under grant agreement No. 820820. This Joint Undertaking receives support from the European Union's Horizon 2020 research and innovation program and the European Federation of Pharmaceutical Industries and Associations (EFPIA). Content in this publication reflects the authors’ view and neither IMI nor the European Union, EFPIA, or any Associated Partners are responsible for any use that may be made of the information contained herein.
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Related works
- Is identical to
- https://ieeexplore.ieee.org/document/9630392 (URL)