Cargando…
Multiscale Entropy Algorithms to Analyze Complexity and Variability of Trunk Accelerations Time Series in Subjects with Parkinson’s Disease
The aim of this study was to assess the ability of multiscale sample entropy (MSE), refined composite multiscale entropy (RCMSE), and complexity index (CI) to characterize gait complexity through trunk acceleration patterns in subjects with Parkinson’s disease (swPD) and healthy subjects, regardless...
Autores principales: | Castiglia, Stefano Filippo, Trabassi, Dante, Conte, Carmela, Ranavolo, Alberto, Coppola, Gianluca, Sebastianelli, Gabriele, Abagnale, Chiara, Barone, Francesca, Bighiani, Federico, De Icco, Roberto, Tassorelli, Cristina, Serrao, Mariano |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10221101/ https://www.ncbi.nlm.nih.gov/pubmed/37430896 http://dx.doi.org/10.3390/s23104983 |
Ejemplares similares
-
Machine Learning Approach to Support the Detection of Parkinson’s Disease in IMU-Based Gait Analysis
por: Trabassi, Dante, et al.
Publicado: (2022) -
Ability of a Set of Trunk Inertial Indexes of Gait to Identify Gait Instability and Recurrent Fallers in Parkinson’s Disease
por: Castiglia, Stefano Filippo, et al.
Publicado: (2021) -
An artificial neural network approach to detect presence and severity of Parkinson’s disease via gait parameters
por: Varrecchia, Tiwana, et al.
Publicado: (2021) -
Prediction of Responsiveness of Gait Variables to Rehabilitation Training in Parkinson's Disease
por: Serrao, Mariano, et al.
Publicado: (2019) -
Neuromodulation for Chronic Daily Headache
por: Coppola, Gianluca, et al.
Publicado: (2022)