Using Lower Limb Wearable Sensors to Identify Gait Modalities: A Machine-Learning-Based Approach

Real-world gait analysis can aid in clinical assessments and influence related interventions, free from the restrictions of a laboratory setting. Using individual accelerometers, we aimed to use a simple machine learning method to quantify the performance of the discrimination between three self-sel...

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Detalles Bibliográficos
Autores principales: Hughes, Liam David, Bencsik, Martin, Bisele, Maria, Barnett, Cleveland Thomas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10675053/
https://www.ncbi.nlm.nih.gov/pubmed/38005627
http://dx.doi.org/10.3390/s23229241

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10675053/
https://www.ncbi.nlm.nih.gov/pubmed/38005627
http://dx.doi.org/10.3390/s23229241

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