A machine learning approach for the design optimization of a multiple magnetic and inertial sensors wearable system for the spine mobility assessment

A machine learning approach for the design optimization of a multiple magnetic and inertial sensors wearable system for the spine mobility assessment

Abstract Background Recently, magnetic and inertial measurement units (MIMU) based systems have been applied in the spine mobility assessment; this evaluation is essential in the clinical practice for diagnosis and treatment evaluation. The available systems are limited in the number of sensors, and...

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Bibliographic Details
Main Authors: Dalia Y. Domínguez-Jiménez, Adriana Martínez-Hernández, Gustavo Pacheco-Santiago, Julio C. Casasola-Vargas, Rubén Burgos-Vargas, Miguel A. Padilla-Castañeda
Format: Article
Language:English
Published: BMC 2024-11-01
Series:Journal of NeuroEngineering and Rehabilitation
Subjects:
Inertial measurement units
Spine
Biomechanics
Machine learning
Musculoskeletal Disorders
Online Access:https://doi.org/10.1186/s12984-024-01484-w

Internet

https://doi.org/10.1186/s12984-024-01484-w

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