Stefano Sapienza
Orcid: 0000-0002-0917-6454
According to our database1,
Stefano Sapienza
authored at least 14 papers
between 2016 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
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Bibliography
2024
Integrating digital gait data with metabolomics and clinical data to predict outcomes in Parkinson's disease.
npj Digit. Medicine, 2024
2023
Experimental Evaluation of a Transparent Operation Mode for a Lower-Limb Exoskeleton Designed for Children with Cerebral Palsy.
IROS, 2023
2021
Crowdsourcing digital health measures to predict Parkinson's disease severity: the Parkinson's Disease Digital Biomarker DREAM Challenge.
npj Digit. Medicine, 2021
Trajectory Tracking Impedance Controller in 6-DoF Lower-Limb Exoskeleton for Over-Ground Walking Training: Preliminary Results.
Proceedings of the International Symposium on Medical Robotics, 2021
2020
Assessing the Feasibility of Augmenting Fall Detection Systems by Relying on UWB-Based Position Tracking and a Home Robot.
Sensors, 2020
2019
Development of a "transparent operation mode" for a lower-limb exoskeleton designed for children with cerebral palsy.
Proceedings of the 16th IEEE International Conference on Rehabilitation Robotics, 2019
2018
On-Line Event-Driven Hand Gesture Recognition Based on Surface Electromyographic Signals.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2018
Proceedings of the IEEE International Symposium on Circuits and Systems, 2018
Proceedings of the Applications in Electronics Pervading Industry, Environment and Society, 2018
2017
Using a Minimum Set of Wearable Sensors to Assess Quality of Movement in Stroke Survivors.
Proceedings of the Second IEEE/ACM International Conference on Connected Health: Applications, 2017
Very low power event-based surface EMG acquisition system with off-the-shelf components.
Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2017
2016
PhD thesis, 2016
On Integration and Validation of a Very Low Complexity ATC UWB System for Muscle Force Transmission.
IEEE Trans. Biomed. Circuits Syst., 2016
Recent machine learning advancements in sensor-based mobility analysis: Deep learning for Parkinson's disease assessment.
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016