A Deep Learning Approach for Gait Event Detection from a Single Shank-Worn IMU: Validation in Healthy and Neurological Cohorts

Many algorithms use 3D accelerometer and/or gyroscope data from inertial measurement unit (IMU) sensors to detect gait events (i.e., initial and final foot contact). However, these algorithms often require knowledge about sensor orientation and use empirically derived thresholds. As alignment cannot...

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Detalles Bibliográficos
Autores principales: Romijnders, Robbin, Warmerdam, Elke, Hansen, Clint, Schmidt, Gerhard, Maetzler, Walter
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9143761/
https://www.ncbi.nlm.nih.gov/pubmed/35632266
http://dx.doi.org/10.3390/s22103859

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9143761/
https://www.ncbi.nlm.nih.gov/pubmed/35632266
http://dx.doi.org/10.3390/s22103859

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