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Dario Farina
Imperial College London
861Publications
70H-index
18.4kCitations
Publications 861
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#1Chen Chen (SJTU: Shanghai Jiao Tong University)
#2Yang Yu (SJTU: Shanghai Jiao Tong University)H-Index: 1
Last.Xiangyang Zhu (SJTU: Shanghai Jiao Tong University)H-Index: 21
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Abstract Objective Methods for surface electromyographic (EMG) signal decomposition have been developed in the past decade, to extract neural information transferred from the spinal cord to muscles. Here, we characterize the accuracy in the identification of motor unit activities during hand postures from high-density EMG signals and we propose a mapping approach between these neural signals and hand gestures. Methods High-density EMG signals were recorded during 11 hand gesture tasks from 11 ab...
#1Tamás Kapelner (GAU: University of Göttingen)H-Index: 3
#2Ivan Vujaklija (Aalto University)
Last.Dario Farina (Imperial College London)H-Index: 70
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Background Current myoelectric control algorithms for active prostheses map time- and frequency-domain features of the interference EMG signal into prosthesis commands. With this approach, only a fraction of the available information content of the EMG is used and the resulting control fails to satisfy the majority of users. In this study, we predict joint angles of the three degrees of freedom of the wrist from motor unit discharge timings identified by decomposition of high-density surface EMG...
#1Guillaume Durandau (UT: University of Twente)H-Index: 2
#2Dario Farina (Imperial College London)H-Index: 70
Last.Massimo Sartori (UT: University of Twente)H-Index: 15
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Background Research efforts in neurorehabilitation technologies have been directed towards creating robotic exoskeletons to restore motor function in impaired individuals. However, despite advances in mechatronics and bioelectrical signal processing, current robotic exoskeletons have had only modest clinical impact. A major limitation is the inability to enable exoskeleton voluntary control in neurologically impaired individuals. This hinders the possibility of optimally inducing the activity-dr...
Objective: Brain-computer interface (BCI) systems aim to control external devices by using brain signals. The performance of these systems is influenced by the user's mental state, such as attention. In this study, we classified two attention states to a target task (attended and distracted task level) while attention to the task is altered by one of three types of distractors. Methods: Twenty-seven participants were allocated into three experimental groups and exposed to one type of distractor....
#1Arash Andalib (UF: University of Florida)H-Index: 2
#2Dario FarinaH-Index: 70
Last.Jose C. PrincipeH-Index: 63
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The performance of upper-limb prostheses is currently limited by the relatively poor functionality of unintuitive control schemes. This paper proposes to extract, from multichannel electromyographic signals (EMG), motor neuron spike trains and project them into lower dimensional continuous signals, which are used as multichannel proportional inputs to control the prosthetic's actuators. These control signals are an estimation of the common synaptic input that the motor neurons receive. We use th...
#1Jakob Lund Dideriksen (AAU: Aalborg University)H-Index: 15
#2Alessandro Del Vecchio (Imperial College London)H-Index: 4
Last.Dario Farina (Imperial College London)H-Index: 70
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The ability to produce rapid forces requires quick motor unit recruitment, high motor unit discharge rates, and fast motor unit force twitches. The relative importance of these parameters for maxim...
#1Christopher K. Thompson (TU: Temple University)H-Index: 9
#2Michael D. Johnson (NU: Northwestern University)H-Index: 14
Last.C. J. Heckman (NU: Northwestern University)H-Index: 40
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The spontaneous or self-sustained discharge of spinal motoneurons can be observed in both animals and humans. Though the origins of this self-sustained discharge are not fully known, it can be gene...
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