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Francesco Ferracuti

Showing results (11-20 of 16) with videos related to

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Medical & Biological Engineering & Computing|November 16, 2020
Functional evaluation of triceps surae during heel rise test: from EMG frequency analysis to machine learning approachFrancesco Ferracuti, Sandro Fioretti, Emanuele Frontoni, et al.
Journal of Biomedical Informatics|December 27, 2017
A Hidden Semi-Markov Model based approach for rehabilitation exercise assessmentMarianna Capecci, Maria Gabriella Ceravolo, Francesco Ferracuti, et al.
Journal of Biomechanics|February 6, 2018
An instrumental approach for monitoring physical exercises in a visual markerless scenario: A proof of conceptMarianna Capecci, Maria Gabriella Ceravolo, Francesco Ferracuti, et al.
Journal of Stroke and Cerebrovascular Diseases : the Official Journal of National Stroke Association|August 6, 2018
Predicting Motor and Cognitive Improvement Through Machine Learning Algorithm in Human Subject that Underwent a Rehabilitation Treatment in the Early Stage of StrokePatrizio Sale, Giorgio Ferriero, Lucio Ciabattoni, et al.
Brain Sciences|January 12, 2021
Hybrid Deep Learning (hDL)-Based Brain-Computer Interface (BCI) Systems: A Systematic ReviewNibras Abo Alzahab, Luca Apollonio, Angelo Di Iorio, et al.
Journal of Stroke and Cerebrovascular Diseases : the Official Journal of National Stroke Association|November 27, 2018
Corrigendum to "Predicting Motor and Cognitive Improvement Through Machine Learning Algorithm in Human Subject That Underwent a Rehabilitation Treatment in the Early Stage of Stroke" [J Stroke Cerebrovasc Dis 27/11 (2018) 2962-2972]Patrizio Sale, Giorgio Ferriero, Lucio Ciabattoni, et al.
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Showing results (11-20 of 16) with videos related to

Sort By:
Pageof 2
You have reached the last page of results.This site can display upto 16 results.
Medical & Biological Engineering & Computing|November 16, 2020
Functional evaluation of triceps surae during heel rise test: from EMG frequency analysis to machine learning approachFrancesco Ferracuti, Sandro Fioretti, Emanuele Frontoni, et al.
Journal of Biomedical Informatics|December 27, 2017
A Hidden Semi-Markov Model based approach for rehabilitation exercise assessmentMarianna Capecci, Maria Gabriella Ceravolo, Francesco Ferracuti, et al.
Journal of Biomechanics|February 6, 2018
An instrumental approach for monitoring physical exercises in a visual markerless scenario: A proof of conceptMarianna Capecci, Maria Gabriella Ceravolo, Francesco Ferracuti, et al.
Journal of Stroke and Cerebrovascular Diseases : the Official Journal of National Stroke Association|August 6, 2018
Predicting Motor and Cognitive Improvement Through Machine Learning Algorithm in Human Subject that Underwent a Rehabilitation Treatment in the Early Stage of StrokePatrizio Sale, Giorgio Ferriero, Lucio Ciabattoni, et al.
Brain Sciences|January 12, 2021
Hybrid Deep Learning (hDL)-Based Brain-Computer Interface (BCI) Systems: A Systematic ReviewNibras Abo Alzahab, Luca Apollonio, Angelo Di Iorio, et al.
Journal of Stroke and Cerebrovascular Diseases : the Official Journal of National Stroke Association|November 27, 2018
Corrigendum to "Predicting Motor and Cognitive Improvement Through Machine Learning Algorithm in Human Subject That Underwent a Rehabilitation Treatment in the Early Stage of Stroke" [J Stroke Cerebrovasc Dis 27/11 (2018) 2962-2972]Patrizio Sale, Giorgio Ferriero, Lucio Ciabattoni, et al.
Pageof 2