Cargando…
Detecting Parkinson’s Disease through Gait Measures Using Machine Learning
Parkinson’s disease (PD) is one of the most common long-term degenerative movement disorders that affects the motor system. This progressive nervous system disorder affects nearly one million Americans, and more than 20,000 new cases are diagnosed each year. PD is a chronic and progressive painful n...
Autores principales: | Li, Alex, Li, Chenyu |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9600300/ https://www.ncbi.nlm.nih.gov/pubmed/36292093 http://dx.doi.org/10.3390/diagnostics12102404 |
Ejemplares similares
-
Prediction of Freezing of Gait in Parkinson’s Disease Using Wearables and Machine Learning
por: Borzì, Luigi, et al.
Publicado: (2021) -
Machine Learning Approach to Support the Detection of Parkinson’s Disease in IMU-Based Gait Analysis
por: Trabassi, Dante, et al.
Publicado: (2022) -
A Supervised Machine Learning Approach to Detect the On/Off State in Parkinson’s Disease Using Wearable Based Gait Signals
por: Aich, Satyabrata, et al.
Publicado: (2020) -
Measuring Gait Quality in Parkinson’s Disease through Real-Time Gait Phase Recognition
por: Mileti, Ilaria, et al.
Publicado: (2018) -
Deep Learning Approaches for Detecting Freezing of Gait in Parkinson’s Disease Patients through On-Body Acceleration Sensors
por: Sigcha, Luis, et al.
Publicado: (2020)