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Leandro Donisi

Showing results (11-20 of 33) with videos related to

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Mathematical Biosciences and Engineering : MBE|September 14, 2021
Positive impact of short-term gait rehabilitation in Parkinson patients: a combined approach based on statistics and machine learningLeandro Donisi, Giuseppe Cesarelli, Pietro Balbi, et al.
Diagnostics (Basel, Switzerland)|March 27, 2024
Capability of Machine Learning Algorithms to Classify Safe and Unsafe Postures during Weight Lifting Tasks Using Inertial SensorsGiuseppe Prisco, Maria Romano, Fabrizio Esposito, et al.
Sensors (Basel, Switzerland)|November 26, 2020
Design and Validation of an E-Textile-Based Wearable Sock for Remote Gait and Postural AssessmentFederica Amitrano, Armando Coccia, Carlo Ricciardi, et al.
Diagnostics (Basel, Switzerland)|January 11, 2025
Validity of Wearable Inertial Sensors for Gait Analysis: A Systematic ReviewGiuseppe Prisco, Maria Agnese Pirozzi, Antonella Santone, et al.
Bioengineering (Basel, Switzerland)|September 28, 2023
sEMG Spectral Analysis and Machine Learning Algorithms Are Able to Discriminate Biomechanical Risk Classes Associated with Manual Material LiftingsLeandro Donisi, Deborah Jacob, Lorena Guerrini, et al.
Current Medicinal Chemistry|January 12, 2021
Machine Learning Approaches in Parkinson's DiseaseAnnamaria Landolfi, Carlo Ricciardi, Leandro Donisi, et al.
Bioengineering (Basel, Switzerland)|October 22, 2021
Extracting Features from Poincaré Plots to Distinguish Congestive Heart Failure Patients According to NYHA ClassesGiovanni D'Addio, Leandro Donisi, Giuseppe Cesarelli, et al.
Journal of Imaging|October 22, 2021
A Combined Radiomics and Machine Learning Approach to Distinguish Clinically Significant Prostate Lesions on a Publicly Available MRI DatasetLeandro Donisi, Giuseppe Cesarelli, Anna Castaldo, et al.
Bioengineering (Basel, Switzerland)|July 29, 2023
A General Approach for the Modelling of Negative Feedback Physiological Control SystemsAlfonso Maria Ponsiglione, Francesco Montefusco, Leandro Donisi, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering : a Publication of the IEEE Engineering in Medicine and Biology Society|April 6, 2023
Using Features Extracted From Upper Limb Reaching Tasks to Detect Parkinson's Disease by Means of Machine Learning ModelsGiuseppe Cesarelli, Leandro Donisi, Francesco Amato, et al.
Pageof 4

Showing results (11-20 of 33) with videos related to

Sort By:
Pageof 4
Mathematical Biosciences and Engineering : MBE|September 14, 2021
Positive impact of short-term gait rehabilitation in Parkinson patients: a combined approach based on statistics and machine learningLeandro Donisi, Giuseppe Cesarelli, Pietro Balbi, et al.
Diagnostics (Basel, Switzerland)|March 27, 2024
Capability of Machine Learning Algorithms to Classify Safe and Unsafe Postures during Weight Lifting Tasks Using Inertial SensorsGiuseppe Prisco, Maria Romano, Fabrizio Esposito, et al.
Sensors (Basel, Switzerland)|November 26, 2020
Design and Validation of an E-Textile-Based Wearable Sock for Remote Gait and Postural AssessmentFederica Amitrano, Armando Coccia, Carlo Ricciardi, et al.
Diagnostics (Basel, Switzerland)|January 11, 2025
Validity of Wearable Inertial Sensors for Gait Analysis: A Systematic ReviewGiuseppe Prisco, Maria Agnese Pirozzi, Antonella Santone, et al.
Bioengineering (Basel, Switzerland)|September 28, 2023
sEMG Spectral Analysis and Machine Learning Algorithms Are Able to Discriminate Biomechanical Risk Classes Associated with Manual Material LiftingsLeandro Donisi, Deborah Jacob, Lorena Guerrini, et al.
Current Medicinal Chemistry|January 12, 2021
Machine Learning Approaches in Parkinson's DiseaseAnnamaria Landolfi, Carlo Ricciardi, Leandro Donisi, et al.
Bioengineering (Basel, Switzerland)|October 22, 2021
Extracting Features from Poincaré Plots to Distinguish Congestive Heart Failure Patients According to NYHA ClassesGiovanni D'Addio, Leandro Donisi, Giuseppe Cesarelli, et al.
Journal of Imaging|October 22, 2021
A Combined Radiomics and Machine Learning Approach to Distinguish Clinically Significant Prostate Lesions on a Publicly Available MRI DatasetLeandro Donisi, Giuseppe Cesarelli, Anna Castaldo, et al.
Bioengineering (Basel, Switzerland)|July 29, 2023
A General Approach for the Modelling of Negative Feedback Physiological Control SystemsAlfonso Maria Ponsiglione, Francesco Montefusco, Leandro Donisi, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering : a Publication of the IEEE Engineering in Medicine and Biology Society|April 6, 2023
Using Features Extracted From Upper Limb Reaching Tasks to Detect Parkinson's Disease by Means of Machine Learning ModelsGiuseppe Cesarelli, Leandro Donisi, Francesco Amato, et al.
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