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A soft wearable robot for tremor assessment and suppression

Juan Álvaro Gallego, Eduardo Rocón, Jaime Ibáñez, Jakob Lund Dideriksen, Aikaterini D. Koutsou, R. Paradiso, Mirjana B. Popović, Juan Manuel Belda Lois, Francesco Gianfelici, Dario Farina, Dejan B. Popović, Mario Manto, Tommaso D’Alessio, José L. Pons

Year
2011
Citations
38

Abstract

Tremor constitutes the most common motor disorder, and poses a functional problem to a large number of patients. Despite of the considerable experience in tremor management, current treatment based on drugs or surgery does not attain an effective attenuation in 25 % of patients, motivating the need for research in new therapeutic alternatives. In this context, this paper presents the concept design, development, and preliminary validation of a soft wearable robot for tremor assessment and suppression. The TREMOR neurorobot comprises a Brain Neural Computer Interface that monitors the whole neuromusculoskeletal system, aiming at characterizing both voluntary movement and tremor, and a Functional Electrical Stimulation system that compensates for tremulous movements without impeding the user perform functional tasks. First results demonstrate the performance of the TREMOR neurorobot as a novel means of assessing and attenuating pathological tremors.

Keywords

Context (archaeology)Wearable computerComputer scienceBrain–computer interfacePhysical medicine and rehabilitationInterface (matter)Functional electrical stimulationHuman–computer interactionPsychologyElectroencephalography

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