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Integrated Pedal System for Data Driven Rehabilitation

We present a system capable of providing visual feedback for ergometer training, allowing detailed analysis and gamification. The presented solution can easily upgrade any existing ergometer device. The system consists of a set of pedals with embedded sensors, readout electronics and wireless commun...

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Detalles Bibliográficos
Autores principales: Schaer, Alessandro, Helander, Oskar, Buffa, Francesco, Müller, Alexis, Schneider, Kevin, Maurenbrecher, Henrik, Becsek, Barna, Chatzipirpiridis, George, Ergeneman, Olgac, Pané, Salvador, Nelson, Bradley J., Schaffert, Nina
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8662464/
https://www.ncbi.nlm.nih.gov/pubmed/34884118
http://dx.doi.org/10.3390/s21238115
Descripción
Sumario:We present a system capable of providing visual feedback for ergometer training, allowing detailed analysis and gamification. The presented solution can easily upgrade any existing ergometer device. The system consists of a set of pedals with embedded sensors, readout electronics and wireless communication modules and a tablet device for interaction with the users, which can be mounted on any ergometer, transforming it into a full analytical assessment tool with interactive training capabilities. The methods to capture the forces and moments applied to the pedal, as well as the pedal’s angular position, were validated using reference sensors and high-speed video capture systems. The mean-absolute error (MAE) for load is found to be 18.82 N, 25.35 N, 0.153 Nm for [Formula: see text] , [Formula: see text] and [Formula: see text] respectively and the MAE for the pedal angle is 13.2°. A fully gamified experience of ergometer training has been demonstrated with the presented system to enhance the rehabilitation experience with audio visual feedback, based on measured cycling parameters.