Cargando…
Wearable Sensors System for an Improved Analysis of Freezing of Gait in Parkinson’s Disease Using Electromyography and Inertial Signals
We propose a wearable sensor system for automatic, continuous and ubiquitous analysis of Freezing of Gait (FOG), in patients affected by Parkinson’s disease. FOG is an unpredictable gait disorder with different clinical manifestations, as the trembling and the shuffling-like phenotypes, whose underl...
Autores principales: | Mazzetta, Ivan, Zampogna, Alessandro, Suppa, Antonio, Gumiero, Alessandro, Pessione, Marco, Irrera, Fernanda |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6412484/ https://www.ncbi.nlm.nih.gov/pubmed/30813411 http://dx.doi.org/10.3390/s19040948 |
Ejemplares similares
-
Prediction of Freezing of Gait in Parkinson’s Disease Using Wearables and Machine Learning
por: Borzì, Luigi, et al.
Publicado: (2021) -
Predicting Axial Impairment in Parkinson’s Disease through a Single Inertial Sensor
por: Borzì, Luigi, et al.
Publicado: (2022) -
Stand-Alone Wearable System for Ubiquitous Real-Time Monitoring of Muscle Activation Potentials
por: Mazzetta, Ivan, et al.
Publicado: (2018) -
l-DOPA and Freezing of Gait in Parkinson’s Disease: Objective Assessment through a Wearable Wireless System
por: Suppa, Antonio, et al.
Publicado: (2017) -
Long-Term Polygraphic Monitoring through MEMS and Charge Transfer for Low-Power Wearable Applications
por: Manoni, Alessandro, et al.
Publicado: (2022)