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

Study approved by the Local Ethics Committee of the General Hospital of Mexico "Dr. Eduardo Liceaga" (protocol code DI/03/17/471).

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Publication Details

Journal
Journal of NeuroEngineering and Rehabilitation
Published
2024-11-05
DOI
https://doi.org/10.1186/s12984-024-01484-w
Citations
2
Primary Topic
Scoliosis diagnosis and treatment
Type
article
Field-Weighted Citation Impact
1.15

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article

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

M. Castañeda, Rubén Burgos‐Vargas, Adriana Martínez‐Hernández, Julio Casasola-Vargas et al.
2 citations
Journal of NeuroEngineering and Rehabilitation
Scoliosis diagnosis and treatment
1.15
article

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

M. Castañeda, Rubén Burgos‐Vargas, Adriana Martínez‐Hernández, Julio Casasola-Vargas, Dalia Y. Domínguez-Jiménez, Gustavo Pacheco-Santiago
article en
2 citations

Abstract

Study approved by the Local Ethics Committee of the General Hospital of Mexico "Dr. Eduardo Liceaga" (protocol code DI/03/17/471).

Journal of NeuroEngineering and RehabilitationVol. 21(1)
Universidad Iberoamericana (MX), Hospital General de México (MX), Universidad Nacional Autónoma de México (MX)
Consejo Nacional de Ciencia y Tecnología, Secretaría de Estado de Ciencia, Tecnología e Innovación, Dirección General de Asuntos del Personal Académico, Universidad Nacional Autónoma de México
Affordable and clean energy
Openalex Percentile: Top 20%
Scoliosis diagnosis and treatment
1.15
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