Cargando…
Gait Analysis in Parkinson’s Disease: An Overview of the Most Accurate Markers for Diagnosis and Symptoms Monitoring
The aim of this review is to summarize that most relevant technologies used to evaluate gait features and the associated algorithms that have shown promise to aid diagnosis and symptom monitoring in Parkinson’s disease (PD) patients. We searched PubMed for studies published between 1 January 2005, a...
Autores principales: | di Biase, Lazzaro, Di Santo, Alessandro, Caminiti, Maria Letizia, De Liso, Alfredo, Shah, Syed Ahmar, Ricci, Lorenzo, Di Lazzaro, Vincenzo |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7349580/ https://www.ncbi.nlm.nih.gov/pubmed/32580330 http://dx.doi.org/10.3390/s20123529 |
Ejemplares similares
-
Parkinson’s Disease Wearable Gait Analysis: Kinematic and Dynamic Markers for Diagnosis
por: di Biase, Lazzaro, et al.
Publicado: (2022) -
Levodopa-Induced Dyskinesias in Parkinson’s Disease: An Overview on Pathophysiology, Clinical Manifestations, Therapy Management Strategies and Future Directions
por: di Biase, Lazzaro, et al.
Publicado: (2023) -
Quantitative High Density EEG Brain Connectivity Evaluation in Parkinson’s Disease: The Phase Locking Value (PLV)
por: di Biase, Lazzaro, et al.
Publicado: (2023) -
Markerless Radio Frequency Indoor Monitoring for Telemedicine: Gait Analysis, Indoor Positioning, Fall Detection, Tremor Analysis, Vital Signs and Sleep Monitoring
por: di Biase, Lazzaro, et al.
Publicado: (2022) -
Classification of Dystonia
por: di Biase, Lazzaro, et al.
Publicado: (2022)