Cargando…
The detection of age groups by dynamic gait outcomes using machine learning approaches
Prevalence of gait impairments increases with age and is associated with mobility decline, fall risk and loss of independence. For geriatric patients, the risk of having gait disorders is even higher. Consequently, gait assessment in the clinics has become increasingly important. The purpose of the...
Autores principales: | Zhou, Yuhan, Romijnders, Robbin, Hansen, Clint, Campen, Jos van, Maetzler, Walter, Hortobágyi, Tibor, Lamoth, Claudine J. C. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7064519/ https://www.ncbi.nlm.nih.gov/pubmed/32157168 http://dx.doi.org/10.1038/s41598-020-61423-2 |
Ejemplares similares
-
A Deep Learning Approach for Gait Event Detection from a Single Shank-Worn IMU: Validation in Healthy and Neurological Cohorts
por: Romijnders, Robbin, et al.
Publicado: (2022) -
Classification of Neurological Patients to Identify Fallers Based on Spatial-Temporal Gait Characteristics Measured by a Wearable Device
por: Zhou, Yuhan, et al.
Publicado: (2020) -
Reduced Range of Gait Speed: A Parkinson’s Disease-Specific Symptom?
por: von der Recke, Felix, et al.
Publicado: (2023) -
Reliability of IMU-Derived Temporal Gait Parameters in Neurological Diseases
por: Hansen, Clint, et al.
Publicado: (2022) -
Validation of IMU-based gait event detection during curved walking and turning in older adults and Parkinson’s Disease patients
por: Romijnders, Robbin, et al.
Publicado: (2021)