Modelling and identification of characteristic kinematic features preceding freezing of gait with convolutional neural networks and layer-wise relevance propagation

BACKGROUND: Although deep neural networks (DNNs) are showing state of the art performance in clinical gait analysis, they are considered to be black-box algorithms. In other words, there is a lack of direct understanding of a DNN’s ability to identify relevant features, hindering clinical acceptance...

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Detalles Bibliográficos
Autores principales: Filtjens, Benjamin, Ginis, Pieter, Nieuwboer, Alice, Afzal, Muhammad Raheel, Spildooren, Joke, Vanrumste, Bart, Slaets, Peter
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8650332/
https://www.ncbi.nlm.nih.gov/pubmed/34876110
http://dx.doi.org/10.1186/s12911-021-01699-0

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8650332/
https://www.ncbi.nlm.nih.gov/pubmed/34876110
http://dx.doi.org/10.1186/s12911-021-01699-0

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