Towards a Robotic Knee Exoskeleton Control Based on Human Motion Intention through EEG and sEMGsignals

A. C. Villa-Parra, D. Delisle-Rodríguez, A. López-Delis, T. Bastos-Filho, R. Sagaró, A. Frizera-Neto

Research output: Contribution to journalArticleResearchpeer-review

8 Citations (Scopus)
Original languageEnglish (US)
Pages (from-to)1379-1386
Number of pages8
JournalProcedia Manufacturing
DOIs
StatePublished - 1 Jan 2015

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Electromyography
Electroencephalography
Robotics
Patient rehabilitation
Pattern recognition
Support vector machines
Feature extraction
Synchronization
Exoskeleton (Robotics)
Neural networks

Cite this

Villa-Parra, A. C. ; Delisle-Rodríguez, D. ; López-Delis, A. ; Bastos-Filho, T. ; Sagaró, R. ; Frizera-Neto, A. / Towards a Robotic Knee Exoskeleton Control Based on Human Motion Intention through EEG and sEMGsignals. In: Procedia Manufacturing. 2015 ; pp. 1379-1386.
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Towards a Robotic Knee Exoskeleton Control Based on Human Motion Intention through EEG and sEMGsignals. / Villa-Parra, A. C.; Delisle-Rodríguez, D.; López-Delis, A.; Bastos-Filho, T.; Sagaró, R.; Frizera-Neto, A.

In: Procedia Manufacturing, 01.01.2015, p. 1379-1386.

Research output: Contribution to journalArticleResearchpeer-review

TY - JOUR

T1 - Towards a Robotic Knee Exoskeleton Control Based on Human Motion Intention through EEG and sEMGsignals

AU - Villa-Parra, A. C.

AU - Delisle-Rodríguez, D.

AU - López-Delis, A.

AU - Bastos-Filho, T.

AU - Sagaró, R.

AU - Frizera-Neto, A.

PY - 2015/1/1

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DO - 10.1016/j.promfg.2015.07.296

M3 - Article

SP - 1379

EP - 1386

JO - Procedia Manufacturing

JF - Procedia Manufacturing

SN - 2351-9789

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