Alessandro Zampogna

Orcid: 0000-0002-0227-1993

According to our database1, Alessandro Zampogna authored at least 15 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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Bibliography

2024
Multisensor Integrated Platform Based on MEMS Charge Variation Sensing Technology for Biopotential Acquisition.
Sensors, March, 2024

Stride Length and Foot Clearance Measurements in Parkinson Patients through IMU Wearable Sensors.
Proceedings of the IEEE International Symposium on Medical Measurements and Applications, 2024

2023
Four Days Are Enough to Provide a Reliable Daily Step Count in Mild to Moderate Parkinson's Disease through a Commercial Smartwatch.
Sensors, November, 2023

2022
Machine Learning and Wearable Sensors for the Early Detection of Balance Disorders in Parkinson's Disease.
Sensors, 2022

Long-Term Polygraphic Monitoring through MEMS and Charge Transfer for Low-Power Wearable Applications.
Sensors, 2022

Predicting Axial Impairment in Parkinson's Disease through a Single Inertial Sensor.
Sensors, 2022

Wearable Electrochemical Sensors in Parkinson's Disease.
Sensors, 2022

2021
Prediction of Freezing of Gait in Parkinson's Disease Using Wearables and Machine Learning.
Sensors, 2021

2020
Fifteen Years of Wireless Sensors for Balance Assessment in Neurological Disorders.
Sensors, 2020

Shedding Light on Nocturnal Movements in Parkinson's Disease: Evidence from Wearable Technologies.
Sensors, 2020

Muscle Synergies in Parkinson's Disease.
Sensors, 2020

Machine-Learning Analysis of Voice Samples Recorded through Smartphones: The Combined Effect of Ageing and Gender.
Sensors, 2020

2019
Wearable Sensors System for an Improved Analysis of Freezing of Gait in Parkinson's Disease Using Electromyography and Inertial Signals.
Sensors, 2019

Parkinson's disease and Levodopa effects on muscle synergies in postural perturbation.
Proceedings of the IEEE International Symposium on Medical Measurements and Applications, 2019

2018
Stand-Alone Wearable System for Ubiquitous Real-Time Monitoring of Muscle Activation Potentials.
Sensors, 2018


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