Susanna Margagliotti
Comparison of head-mounted IMU-based methods for temporal gait description: performance on healthy subjects of different age range and parkinsonian patients.
Rel. Andrea Cereatti, Tecla Bonci, Francesca Salis. Politecnico di Torino, Master of science program in Biomedical Engineering, 2023
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Abstract
IMUs are increasingly popular devices in gait analysis. Various placements of this type of sensor have already been explored in the literature, both in a multi-sensor and single-sensor approach. The possibility of producing these devices on a miniaturised scale has allowed them to be easily integrated into other devices such as smartphones, headphones and smart glasses. The objective of this study was to identify a method that would allow the best possible performance in detecting gait events by analysing the head acceleration of different subjects, belonging to different populations and under different speed conditions. The performance obtained by the newly proposed method, in particular, demonstrates that this objective is achievable.
Speaking about the performance obtained by the best trade-off method, on young healthy subjects, the median absolute error ranges from 20 to 10 ms in ICs detection and from 100 to 10 ms in FCs detection with an F1-score always higher than 92%
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