Zobrazeno 1 - 3
of 3
pro vyhledávání: '"UPDRS tasks"'
Autor:
Claudia Ferraris, Roberto Nerino, Antonio Chimienti, Giuseppe Pettiti, Nicola Cau, Veronica Cimolin, Corrado Azzaro, Lorenzo Priano, Alessandro Mauro
Publikováno v:
Sensors, Vol 19, Iss 5, p 1129 (2019)
A self-managed, home-based system for the automated assessment of a selected set of Parkinson’s disease motor symptoms is presented. The system makes use of an optical RGB-Depth device both to implement its gesture-based human computer interface an
Externí odkaz:
https://doaj.org/article/6cfefe7ca8c74276a307744b8d8cad15
Autor:
Alessandro Mauro, Claudia Ferraris, Nicola Cau, Roberto Nerino, Veronica Cimolin, Giuseppe Pettiti, Corrado Azzaro, Antonio Chimienti, Lorenzo Priano
Publikováno v:
Sensors, Vol 19, Iss 5, p 1129 (2019)
Sensors (Basel, Switzerland)
Sensors
Volume 19
Issue 5
Sensors (Basel) 19 (2019). doi:10.3390/s19051129
info:cnr-pdr/source/autori:Claudia Ferraris*, Roberto Nerino*, Antonio Chimienti*, Giuseppe Pettiti*, Nicola Cau§, Veronica Cimolin#, Corrado Azzaro§, Lorenzo Priano§, Alessandro Mauro§/titolo:Feasibility of Home-Based Automated Assessment of Postural Instability and Lower Limb Impairments in Parkinson's Disease/doi:10.3390%2Fs19051129/rivista:Sensors (Basel)/anno:2019/pagina_da:/pagina_a:/intervallo_pagine:/volume:19
Sensors (Basel, Switzerland)
Sensors
Volume 19
Issue 5
Sensors (Basel) 19 (2019). doi:10.3390/s19051129
info:cnr-pdr/source/autori:Claudia Ferraris*, Roberto Nerino*, Antonio Chimienti*, Giuseppe Pettiti*, Nicola Cau§, Veronica Cimolin#, Corrado Azzaro§, Lorenzo Priano§, Alessandro Mauro§/titolo:Feasibility of Home-Based Automated Assessment of Postural Instability and Lower Limb Impairments in Parkinson's Disease/doi:10.3390%2Fs19051129/rivista:Sensors (Basel)/anno:2019/pagina_da:/pagina_a:/intervallo_pagine:/volume:19
A self-managed, home-based system for the automated assessment of a selected set of Parkinson&rsquo
s disease motor symptoms is presented. The system makes use of an optical RGB-Depth device both to implement its gesture-based human computer int
s disease motor symptoms is presented. The system makes use of an optical RGB-Depth device both to implement its gesture-based human computer int
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