Sfoglia per Rivista GAIT & POSTURE
Mostrati risultati da 1 a 4 di 4
An automatic procedure to classify biomechanical risk classes associated to lifting activities according to the Revised NIOSH Lifting Equation
2022 Donisi, L.; Cesarelli, G.; Capodaglio, E.; Pagano, G.; Cesarelli, M.; Panigazzi, M.; D’Addio, G.
Detecting Parkinson’s disease through an upper limb reaching task and a machine learning approach
2022 Cesarelli, G.; Donisi, L.; Amato, F.; Romano, M.; Cesarelli, M.; D’Addio, G.; Ponsiglione, A. M.; Ricciardi, C.
Gait analysis to quantitatively classify Ataxia and Parkinson’s disease patients: a pilot study using tree-based Machine Learning algorithms
2022 Cesarelli, G.; Donisi, L.; Biancardi, A.; Lanzillo, B.; D’Addio, G.; Cesarelli, M.
Study of Agreement between two Wereable Inertial Systems for Gait Analysis based on a different sensor placement: G-Walk System and Opal System
2019 Donisi, L.; D’Addio, G.; Pagano, G.; Coccia, A.; Cesarelli, M.
| Titolo | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|
| An automatic procedure to classify biomechanical risk classes associated to lifting activities according to the Revised NIOSH Lifting Equation | 1-gen-2022 | Donisi, L.; Cesarelli, G.; Capodaglio, E.; Pagano, G.; Cesarelli, M.; Panigazzi, M.; D’Addio, G. | |
| Detecting Parkinson’s disease through an upper limb reaching task and a machine learning approach | 1-gen-2022 | Cesarelli, G.; Donisi, L.; Amato, F.; Romano, M.; Cesarelli, M.; D’Addio, G.; Ponsiglione, A. M.; Ricciardi, C. | |
| Gait analysis to quantitatively classify Ataxia and Parkinson’s disease patients: a pilot study using tree-based Machine Learning algorithms | 1-gen-2022 | Cesarelli, G.; Donisi, L.; Biancardi, A.; Lanzillo, B.; D’Addio, G.; Cesarelli, M. | |
| Study of Agreement between two Wereable Inertial Systems for Gait Analysis based on a different sensor placement: G-Walk System and Opal System | 1-gen-2019 | Donisi, L.; D’Addio, G.; Pagano, G.; Coccia, A.; Cesarelli, M. |
Mostrati risultati da 1 a 4 di 4
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