Marianna Amboni

According to our database, Marianna Amboni authored at least 9 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

The Role of Deep Learning and Gait Analysis in Parkinson's Disease: A Systematic Review.

Alessandra Franco, Michela Russo, Marianna Amboni, Alfonso Maria Ponsiglione, Federico Di Filippo, Maria Romano, Francesco Amato, Carlo Ricciardi

Sensors, September, 2024

2023

Agreement between Optoelectronic System and Wearable Sensors for the Evaluation of Gait Spatiotemporal Parameters in Progressive Supranuclear Palsy.

Carlo Ricciardi, Noemi Pisani, Leandro Donisi, Filomena Abate, Marianna Amboni, Paolo Barone, Marina Picillo, Mario Cesarelli, Francesco Amato

Sensors, December, 2023

Identification of a Gait Pattern for Detecting Mild Cognitive Impairment in Parkinson's Disease.

Michela Russo, Marianna Amboni, Paolo Barone, Maria Teresa Pellecchia, Maria Romano, Carlo Ricciardi, Francesco Amato

Sensors, February, 2023

A Cluster Analysis for Parkinson's Disease Phenotyping with Gait Parameters.

Michela Russo, Carlo Ricciardi, Marianna Amboni, Antonio Volzone, Paolo Barone, Maria Romano, Francesco Amato

Proceedings of the IEEE International Conference on Metrology for eXtended Reality, 2023

2022

Performing a short sway to distinguish Parkinsonisms.

Michela Russo, Carlo Ricciardi, Marianna Amboni, Marina Picillo, Gianluca Ricciardelli, Filomena Abate, Maria Francesca Tepedino, Maria Consiglia Calabrese, Mario Cesarelli, Maria Romano

Proceedings of the IEEE International Conference on Metrology for Extended Reality, 2022

2020

A quantitative analysis of muscular co-activation on EMG signals in spastic patients treated with Botulinum toxin.

Carlo Ricciardi, Luigi Iuppariello, Gianluca Ricciardelli, Marianna Amboni, Giuseppe Cesarelli, Giovanni Improta, Giovanni D'Addio, Giovanni Cannaviello, Mario Cesarelli

Proceedings of the 2020 IEEE International Symposium on Medical Measurements and Applications, 2020

Machine learning can detect the presence of Mild cognitive impairment in patients affected by Parkinson's Disease.

Carlo Ricciardi, Marianna Amboni, Chiara De Santis, Gianluca Ricciardelli, Giovanni Improta, Giovanni D'Addio, Sofia Cuoco, Marina Picillo, Paolo Barone, Mario Cesarelli

Proceedings of the 2020 IEEE International Symposium on Medical Measurements and Applications, 2020

Classifying patients affected by Parkinson's disease into freezers or non-freezers through machine learning.

Carlo Ricciardi, Marianna Amboni, Chiara De Santis, Gianluca Ricciardelli, Giovanni Improta, Giuseppe Cesarelli, Giovanni D'Addio, Paolo Barone

Proceedings of the 2020 IEEE International Symposium on Medical Measurements and Applications, 2020

2019

Using gait analysis' parameters to classify Parkinsonism: A data mining approach.

Carlo Ricciardi, Marianna Amboni, Chiara De Santis, Giovanni Improta, Giampiero Volpe, Luigi Iuppariello, Gianluca Ricciardelli, Giovanni D'Addio, Carmine Vitale, Paolo Barone, Mario Cesarelli

Comput. Methods Programs Biomed., 2019