Cargando…
Revealing posturographic profile of patients with Parkinsonian syndromes through a novel hypothesis testing framework based on machine learning
Falling in Parkinsonian syndromes (PS) is associated with postural instability and consists a common cause of disability among PS patients. Current posturographic practices record the body’s center-of-pressure displacement (statokinesigram) while the patient stands on a force platform. Statokinesigr...
Autores principales: | Bargiotas, Ioannis, Kalogeratos, Argyris, Limnios, Myrto, Vidal, Pierre-Paul, Ricard, Damien, Vayatis, Nicolas |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7906303/ https://www.ncbi.nlm.nih.gov/pubmed/33630865 http://dx.doi.org/10.1371/journal.pone.0246790 |
Ejemplares similares
-
A Non Linear Scoring Approach for Evaluating Balance: Classification of Elderly as Fallers and Non-Fallers
por: Audiffren, Julien, et al.
Publicado: (2016) -
On the importance of local dynamics in statokinesigram: A multivariate approach for postural control evaluation in elderly
por: Bargiotas, Ioannis, et al.
Publicado: (2018) -
Preventing falls: the use of machine learning for the prediction of future falls in individuals without history of fall
por: Bargiotas, Ioannis, et al.
Publicado: (2022) -
A review of center of pressure (COP) variables to quantify standing balance in elderly people: Algorithms and open‐access code
por: Quijoux, Flavien, et al.
Publicado: (2021) -
Tilt perception is different in the pitch and roll planes in human
por: Keriven Serpollet, Dimitri, et al.
Publicado: (2023)