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Deep Learning with Convolutional Neural Network for Proportional Control of Finger Movements from surface EMG Recordings.

, , , и . NER, стр. 1074-1078. IEEE, (2021)

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Daniele Silvestro

Silvestro Fiore

 

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Principal component analysis can decrease neural networks performance for incipient falls detection: A preliminary study with hands and feet accelerations., , , и . EMBC, стр. 6194-6197. IEEE, (2016)Topographical strategies to control neural outgrowth., , , , и . EMBC, стр. 7147-7150. IEEE, (2015)EMG-based learning approach for estimating wrist motion., , , , , , и . EMBC, стр. 6732-6735. IEEE, (2015)Modifications of muscle synergies and spinal maps due to absence of visual feedback in patients with unilateral vestibular disease., , , , , и . EMBC, стр. 3608-3611. IEEE, (2012)An Event-Driven Closed-Loop System for Real-Time FES Control., , , , , и . ICECS, стр. 867-870. IEEE, (2019)A Cosmetic Prosthetic Hand with Tendon Driven Under-Actuated Mechanism and Compliant Joints: Ongoing Research and Preliminary Results., , , , , , и . ICRA, стр. 2661-2666. IEEE, (2005)Discrimination of Walking and Standing from Entropy of EEG Signals and Common Spatial Patterns., , , , , и . SMC, стр. 2008-2013. IEEE, (2020)Deep Learning with Convolutional Neural Network for Proportional Control of Finger Movements from surface EMG Recordings., , , и . NER, стр. 1074-1078. IEEE, (2021)Machine-learning predictor of nerve fiber firing rate allows the automatic optimization of electrical stimulation protocols., , , , и . NER, стр. 1-4. IEEE, (2023)Towards in-silico robotic post-stroke rehabilitation for mice., , , , , , и . CBS, стр. 123-128. IEEE, (2019)