Wearable Wireless Inertial Sensors for Long-Time Monitoring of Specific Motor Symptoms in Parkinson's Disease. - Paolo Lorenzi 001; Rosario Rao; Antonio Suppa; Ardian Kita; Riccardo Parisi; Giulio Romano; Alfredo Berardelli; Fernanda Irrera (BIODEVICES, 2015)

Smart sensors for the recognition of specific human motion disorders in Parkinson's disease. - Paolo Lorenzi 001; Rosario Rao; Giulio Romano; Ardian Kita; Martin Serpa; Federico Filesi; Fernanda Irrera; Matteo Bologna; Antonio Suppa; Alfredo Berardelli (IWASI, 2015)

Smart Sensing System for the Detection of Specific Human Motion Symptoms of the Parkinson's Disease. - Ardian Kita; Paolo Lorenzi 001; Giulio Romano; Rosario Rao; Riccardo Parisi; Antonio Suppa; Matteo Bologna; Alfredo Berardelli; Fernanda Irrera (BIODEVICES, 2016)

Measuring age-related differences in kinematic postural strategies under yaw perturbation. - Ilaria Mileti; Juri Taborri; Stefano Rossi; Zaccaria Del Prete; Marco Paoloni; Antonio Suppa; Eduardo Palermo (MeMeA, 2018)

Stand-Alone Wearable System for Ubiquitous Real-Time Monitoring of Muscle Activation Potentials. - Ivan Mazzetta; Paolo Gentile; Marco Pessione; Antonio Suppa; Alessandro Zampogna; Edoardo Bianchini; Fernanda Irrera (Sensors, 2018)

Parkinson's disease and Levodopa effects on muscle synergies in postural perturbation. - Ilaria Mileti; Alessandro Zampogna; Juri Taborri; Francesca Martelli; Stefano Rossi; Zaccaria Del Prete; Marco Paoloni; Antonio Suppa; Eduardo Palermo (MeMeA, 2019)

Wearable Sensors System for an Improved Analysis of Freezing of Gait in Parkinson's Disease Using Electromyography and Inertial Signals. - Ivan Mazzetta; Alessandro Zampogna; Antonio Suppa; Alessandro Gumiero; Marco Pessione; Fernanda Irrera (Sensors, 2019)

Machine-Learning Analysis of Voice Samples Recorded through Smartphones: The Combined Effect of Ageing and Gender. - Francesco Asci; Giovanni Costantini; Pietro Di Leo; Alessandro Zampogna; Giovanni Ruoppolo; Alfredo Berardelli; Giovanni Saggio; Antonio Suppa (Sensors, 2020)

Reactive Postural Responses to Continuous Yaw Perturbations in Healthy Humans: The Effect of Aging. - Ilaria Mileti; Juri Taborri; Stefano Rossi; Zaccaria Del Prete; Marco Paoloni; Antonio Suppa; Eduardo Palermo (Sensors, 2020)

Muscle Synergies in Parkinson's Disease. - Ilaria Mileti; Alessandro Zampogna; Alessandro Santuz; Francesco Asci; Zaccaria Del Prete; Adamantios Arampatzis; Eduardo Palermo; Antonio Suppa (Sensors, 2020)

Shedding Light on Nocturnal Movements in Parkinson's Disease: Evidence from Wearable Technologies. - Alessandro Zampogna; Alessandro Manoni; Francesco Asci; Claudio Liguori; Fernanda Irrera; Antonio Suppa (Sensors, 2020)

Fifteen Years of Wireless Sensors for Balance Assessment in Neurological Disorders. - Alessandro Zampogna; Ilaria Mileti; Eduardo Palermo; Claudia Celletti; Marco Paoloni; Alessandro Manoni; Ivan Mazzetta; Gloria Dalla Costa; Carlos Pérez-López; Filippo Camerota; Letizia Leocani; Joan Cabestany; et al. (Sensors, 2020)

Machine Learning based Voice Analysis in Spasmodic Dysphonia: An Investigation of Most Relevant Features from Specific Vocal Tasks. - Giovanni Costantini; Pietro Di Leo; Francesco Asci; Zakarya Zarezadeh; Luca Marsili; Vito Errico; Antonio Suppa; Giovanni Saggio (BIOSIGNALS, 2021)

Prediction of Freezing of Gait in Parkinson's Disease Using Wearables and Machine Learning. - Luigi Borzì; Ivan Mazzetta; Alessandro Zampogna; Antonio Suppa; Gabriella Olmo; Fernanda Irrera (Sensors, 2021)

Wearable Electrochemical Sensors in Parkinson's Disease. - Francesco Asci; Giorgio Vivacqua; Alessandro Zampogna; Valentina D'Onofrio; Adolfo Mazzeo; Antonio Suppa (Sensors, 2022)

Predicting Axial Impairment in Parkinson's Disease through a Single Inertial Sensor. - Luigi Borzì; Ivan Mazzetta; Alessandro Zampogna; Antonio Suppa; Fernanda Irrera; Gabriella Olmo (Sensors, 2022)

Long-Term Polygraphic Monitoring through MEMS and Charge Transfer for Low-Power Wearable Applications. - Alessandro Manoni; Alessandro Gumiero; Alessandro Zampogna; Chiara Ciarlo; Lorenzo Panetta; Antonio Suppa; Luigi Della Torre; Fernanda Irrera (Sensors, 2022)

Machine Learning and Wearable Sensors for the Early Detection of Balance Disorders in Parkinson's Disease. - Francesco Castelli Gattinara Di Zubiena; Greta Menna; Ilaria Mileti; Alessandro Zampogna; Francesco Asci; Marco Paoloni; Antonio Suppa; Zaccaria Del Prete; Eduardo Palermo (Sensors, 2022)

Artificial Intelligence-Based Voice Assessment of Patients with Parkinson's Disease Off and On Treatment: Machine vs. Deep-Learning Comparison. - Giovanni Costantini; Valerio Cesarini; Pietro Di Leo; Federica Amato; Antonio Suppa; Francesco Asci; Antonio Pisani; Alessandra Calculli; Giovanni Saggio (Sensors, 2023)

Four Days Are Enough to Provide a Reliable Daily Step Count in Mild to Moderate Parkinson's Disease through a Commercial Smartwatch. - Edoardo Bianchini; Silvia Galli; Marika Alborghetti; Lanfranco De Carolis; Alessandro Zampogna; Clint Hansen; Nicolas Vuillerme; Antonio Suppa; Francesco E. Pontieri (Sensors, 2023)

Stride Length and Foot Clearance Measurements in Parkinson Patients through IMU Wearable Sensors. - Francesco Castelli Gattinara Di Zubiena; Alessandro Zampogna; Martina Patera; Giovanni Cusolito; Ilaria Mileti; Antonio Cannuli; Antonio Suppa; Marco Paoloni; Zaccaria Del Prete; Eduardo Palermo (MeMeA, 2024)

Features of 3-D Phase Space Attractors as Descriptors of Chaotic Laws in Voice Signals for the AI-based Detection of Dysphonia. - Valerio Cesarini; Mattia Magliocchetti; Diego Calicchia; Federica Amato; Antonio Suppa; Francesco Asci; Luca Marsili; Giovanni Saggio; Giovanni Costantini (MetroInd4.0 & IoT, 2024)

Multisensor Integrated Platform Based on MEMS Charge Variation Sensing Technology for Biopotential Acquisition. - Fernanda Irrera; Alessandro Gumiero; Alessandro Zampogna; Federico Boscari; Angelo Avogaro; Michele Antonio Gazzanti Pugliese di Cotrone; Martina Patera; Luigi Della Torre; Nicola Picozzi; Antonio Suppa (Sensors, 2024)

A Novel Machine Learning Framework for Drowsiness Detection Using an Electrostatic Wearable Sensor and Hyperdimensional Computing. - Ludovica Ferri; Michele Antonio Gazzanti Pugliese di Cotrone; Marco Angioli; Marco Balsi; Antonio Suppa; Leonardo Davì; Nicola Picozzi; Alessandro Gumiero; Luigi Della Torre; Fernanda Irrera (MetroInd4.0 & IoT, 2025)