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Cristiano De Marchis

Showing results (1-10 of 39) with videos related to

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Sensors (Basel, Switzerland)|April 24, 2019
Optimizing the Scale of a Wavelet-Based Method for the Detection of Gait Events from a Waist-Mounted Accelerometer under Different Walking SpeedsCarlotta Caramia, Cristiano De Marchis, Maurizio Schmid
Journal of Electromyography and Kinesiology : Official Journal of the International Society of Electrophysiological Kinesiology|June 18, 2018
An automatic, adaptive, information-based algorithm for the extraction of the sEMG envelopeSimone Ranaldi, Cristiano De Marchis, Silvia Conforto
Medical Engineering & Physics|January 20, 2012
An optimized method for tremor detection and temporal tracking through repeated second order moment calculations on the surface EMG signalCristiano De Marchis, Maurizio Schmid, Silvia Conforto
IEEE Open Journal of Engineering in Medicine and Biology|April 17, 2023
Optimal Identification of Muscle Synergies From Typical Sit-to-Stand Clinical TestsSimone Ranaldi, Leonardo Gizzi, Giacomo Severini, et al.
Sensors (Basel, Switzerland)|June 10, 2022
The Influence of the sEMG Amplitude Estimation Technique on the EMG-Force RelationshipSimone Ranaldi, Giovanni Corvini, Cristiano De Marchis, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|September 10, 2022
Classifying reaching height through muscle synergies in unconstrained scenariosSimone Ranaldi, Cristiano De Marchis, Maurizio Schmid, et al.
Physiological Measurement|December 7, 2023
Machine learning to detect, stage and classify diseases and their symptoms based on inertial sensor data: a mapping reviewDaniele Bibbo, Cristiano De Marchis, Maurizio Schmid, et al.
IEEE Open Journal of Engineering in Medicine and Biology|November 20, 2024
Synergy-Dependent Center-of-Mass Control Strategies During Sit-to-Stand MovementsSimone Ranaldi, Leonardo Gizzi, Giacomo Severini, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering : a Publication of the IEEE Engineering in Medicine and Biology Society|December 10, 2021
An Objective, Information-Based Approach for Selecting the Number of Muscle Synergies to be Extracted via Non-Negative Matrix FactorizationSimone Ranaldi, Cristiano De Marchis, Giacomo Severini, et al.
Plos One|December 30, 2022
Predictive simulation of sit-to-stand based on reflexive-controllersDavid Muñoz, Cristiano De Marchis, Leonardo Gizzi, et al.
Pageof 4

Showing results (1-10 of 39) with videos related to

Sort By:
Pageof 4
Sensors (Basel, Switzerland)|April 24, 2019
Optimizing the Scale of a Wavelet-Based Method for the Detection of Gait Events from a Waist-Mounted Accelerometer under Different Walking SpeedsCarlotta Caramia, Cristiano De Marchis, Maurizio Schmid
Journal of Electromyography and Kinesiology : Official Journal of the International Society of Electrophysiological Kinesiology|June 18, 2018
An automatic, adaptive, information-based algorithm for the extraction of the sEMG envelopeSimone Ranaldi, Cristiano De Marchis, Silvia Conforto
Medical Engineering & Physics|January 20, 2012
An optimized method for tremor detection and temporal tracking through repeated second order moment calculations on the surface EMG signalCristiano De Marchis, Maurizio Schmid, Silvia Conforto
IEEE Open Journal of Engineering in Medicine and Biology|April 17, 2023
Optimal Identification of Muscle Synergies From Typical Sit-to-Stand Clinical TestsSimone Ranaldi, Leonardo Gizzi, Giacomo Severini, et al.
Sensors (Basel, Switzerland)|June 10, 2022
The Influence of the sEMG Amplitude Estimation Technique on the EMG-Force RelationshipSimone Ranaldi, Giovanni Corvini, Cristiano De Marchis, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|September 10, 2022
Classifying reaching height through muscle synergies in unconstrained scenariosSimone Ranaldi, Cristiano De Marchis, Maurizio Schmid, et al.
Physiological Measurement|December 7, 2023
Machine learning to detect, stage and classify diseases and their symptoms based on inertial sensor data: a mapping reviewDaniele Bibbo, Cristiano De Marchis, Maurizio Schmid, et al.
IEEE Open Journal of Engineering in Medicine and Biology|November 20, 2024
Synergy-Dependent Center-of-Mass Control Strategies During Sit-to-Stand MovementsSimone Ranaldi, Leonardo Gizzi, Giacomo Severini, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering : a Publication of the IEEE Engineering in Medicine and Biology Society|December 10, 2021
An Objective, Information-Based Approach for Selecting the Number of Muscle Synergies to be Extracted via Non-Negative Matrix FactorizationSimone Ranaldi, Cristiano De Marchis, Giacomo Severini, et al.
Plos One|December 30, 2022
Predictive simulation of sit-to-stand based on reflexive-controllersDavid Muñoz, Cristiano De Marchis, Leonardo Gizzi, et al.
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