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On the use of wearable sensors to enhance motion intention detection for a contralaterally controlled FES system.

. BSN, page 324-328. IEEE, (2016)

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Decoding of Imaginary Motor Movements of Fists Applying Spatial Filtering in a BCI Simulated Application., , and . IWINAC (1), volume 9107 of Lecture Notes in Computer Science, page 153-162. Springer, (2015)A Real-Time Research Platform for Intent Pattern Recognition: Implementation, Validation and Application., , and . IWBBIO (2), volume 10814 of Lecture Notes in Computer Science, page 106-117. Springer, (2018)Using Orientation Sensors to Control a FES System for Upper-Limb Motor Rehabilitation., , and . IWBBIO (2), volume 10814 of Lecture Notes in Computer Science, page 95-105. Springer, (2018)On the use of wearable sensors to enhance motion intention detection for a contralaterally controlled FES system.. BSN, page 324-328. IEEE, (2016)A new platform based on IEEE802.15.4 wireless inertial sensors for motion caption and assessment., , , , and . EMBC (Supplement), page 6497-6500. IEEE, (2006)Decoding Steady-State Visual Evoked Potentials From EEG Signals: Towards an EEG-Triggered FES System to Restore Hand Grasp Function., , and . UEMCON, page 1152-1157. IEEE, (2019)Rehabilitation Robotics: a Wearable Exo-Skeleton for Tremor Assessment and Suppression., , , , and . ICRA, page 2271-2276. IEEE, (2005)Deep neural network for EMG signal classification of wrist position: Preliminary results., , and . LA-CCI, page 1-5. IEEE, (2017)On the Use of an Active Wearable Exoskeleton for Tremor Suppression via Biomechanical Loading., , , , , and . ICRA, page 3140-3145. IEEE, (2006)Neurolab: a Multimodal Networked Exoskeleton for Neuromotor and Biomechanical Research., , , , , and . BIODEVICES (2), page 68-73. INSTICC - Institute for Systems and Technologies of Information, Control and Communication, (2008)978-989-8111-17-3.