Cargando…
Wearable-Sensor-Based Detection and Prediction of Freezing of Gait in Parkinson’s Disease: A Review
Freezing of gait (FOG) is a serious gait disturbance, common in mid- and late-stage Parkinson’s disease, that affects mobility and increases fall risk. Wearable sensors have been used to detect and predict FOG with the ultimate aim of preventing freezes or reducing their effect using gait monitoring...
Autores principales: | Pardoel, Scott, Kofman, Jonathan, Nantel, Julie, Lemaire, Edward D. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6928783/ https://www.ncbi.nlm.nih.gov/pubmed/31771246 http://dx.doi.org/10.3390/s19235141 |
Ejemplares similares
-
Grouping successive freezing of gait episodes has neutral to detrimental effect on freeze detection and prediction in Parkinson’s disease
por: Pardoel, Scott, et al.
Publicado: (2021) -
Prediction of Freezing of Gait in Parkinson's Disease Using Unilateral and Bilateral Plantar-Pressure Data
por: Pardoel, Scott, et al.
Publicado: (2022) -
Prediction and detection of freezing of gait in Parkinson’s disease from plantar pressure data using long short-term memory neural-networks
por: Shalin, Gaurav, et al.
Publicado: (2021) -
Early Detection of Freezing of Gait during Walking Using Inertial Measurement Unit and Plantar Pressure Distribution Data
por: Pardoel, Scott, et al.
Publicado: (2021) -
Foot Pressure Wearable Sensors for Freezing of Gait Detection in Parkinson’s Disease
por: Marcante, Andrea, et al.
Publicado: (2020)