Cargando…
Parkinson’s disease detection from 20-step walking tests using inertial sensors of a smartphone: Machine learning approach based on an observational case-control study
Parkinson’s disease (PD) is a neurodegenerative disease inducing dystrophy of the motor system. Automatic movement analysis systems have potential in improving patient care by enabling personalized and more accurate adjust of treatment. These systems utilize machine learning to classify the movement...
Autores principales: | Juutinen, Milla, Wang, Cassia, Zhu, Justin, Haladjian, Juan, Ruokolainen, Jari, Puustinen, Juha, Vehkaoja, Antti |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7377496/ https://www.ncbi.nlm.nih.gov/pubmed/32701955 http://dx.doi.org/10.1371/journal.pone.0236258 |
Ejemplares similares
-
Identification of Motor Symptoms Related to Parkinson Disease Using Motion-Tracking Sensors at Home (KÄVELI): Protocol for an Observational Case-Control Study
por: Jauhiainen, Milla, et al.
Publicado: (2019) -
Inertial sensors for smartphones navigation
por: Dabove, P., et al.
Publicado: (2015) -
Walking Distance Estimation Using Walking Canes with Inertial Sensors
por: Dang, Duc Cong, et al.
Publicado: (2018) -
Inertial Sensor Algorithm to Estimate Walk Distance
por: Shah, Vrutangkumar V., et al.
Publicado: (2022) -
Suitability of Smartphone Inertial Sensors for Real-Time Biofeedback Applications
por: Kos, Anton, et al.
Publicado: (2016)