Prediction and detection of freezing of gait in Parkinson’s disease from plantar pressure data using long short-term memory neural-networks
Abstract Background Freezing of gait (FOG) is a walking disturbance in advanced stage Parkinson’s disease (PD) that has been associated with increased fall risk and decreased quality of life. Freezing episodes can be mitigated or prevented with external intervention such as visual or auditory cues,...
Enregistré dans:
Auteurs principaux: | Gaurav Shalin, Scott Pardoel, Edward D. Lemaire, Julie Nantel, Jonathan Kofman |
---|---|
Format: | article |
Langue: | EN |
Publié: |
BMC
2021
|
Sujets: | |
Accès en ligne: | https://doaj.org/article/197700bcd5684bbabd97bb04db9c1fea |
Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
-
Protocol for the DeFOG trial: A randomized controlled trial on the effects of smartphone-based, on-demand cueing for freezing of gait in Parkinson's disease
par: Demi Zoetewei, et autres
Publié: (2021) -
Clinical features and related factors of freezing of gait in patients with Parkinson's disease
par: Fengting Zhang, et autres
Publié: (2021) -
A practical method for the detection of freezing of gait in patients with Parkinson’s disease
par: Kwon Y, et autres
Publié: (2014) -
Trastorno de la marcha en la enfermedad de Parkinson: freezing y perspectivas actuales
par: Gonçalves,Giovanna, et autres
Publié: (2013) -
Relationships between Freezing of Gait Severity and Cognitive Deficits in Parkinson’s Disease
par: Jamie L. Scholl, et autres
Publié: (2021)