Experimental architecture for synchronized recordings of cerebral, muscular and biomechanical data during lower limb activities

E. Ianez, A. Costa, E. Ceseracciu, E. Marquez-Sanchez, E. Pinuela-Martin, G. Asin, A. J. Del-Ama, A. Gil-Agudo, M. Reggiani, Jose L Pons, J. C. Moreno, J. M. Azorin

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In this paper, an architecture that allows the synchronized recording of cerebral, muscular and biomechanical data during lower limb activities has been designed. The synchronization issue has been addressed. The goal is to analyze the relationship between the different signals, first during simple lower limbs movements, then extending the analysis to gait. Five incomplete spinal cord injury patients and four healthy users participated in experiments to validate the architecture. The users were asked to perform simple movements that involve only one or two joints, particularly knee and ankle. Future studies with the recorded data will address several issues, such as creating neuromusculoskeletal models that relate kinematics data with EMG information, improving the decoding of the angles of the lower limb through EEG signals, or analyzing the coherence between the EEG signals and the EMG information.

Original languageEnglish (US)
Title of host publication2015 23rd Mediterranean Conference on Control and Automation, MED 2015 - Conference Proceedings
EditorsVictor Munoz, Joseba Quevedo, Jorge L. Martinez, Jesus Morales
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages143-149
Number of pages7
ISBN (Electronic)9781479999361
DOIs
StatePublished - Jul 14 2015
Event23rd Mediterranean Conference on Control and Automation, MED 2015 - Torremolinos, Spain
Duration: Jun 16 2015Jun 19 2015

Publication series

Name2015 23rd Mediterranean Conference on Control and Automation, MED 2015 - Conference Proceedings

Conference

Conference23rd Mediterranean Conference on Control and Automation, MED 2015
CountrySpain
CityTorremolinos
Period6/16/156/19/15

Keywords

  • biomechanical data
  • EEG
  • EMG
  • lower limb
  • synchronized registers

ASJC Scopus subject areas

  • Control and Optimization
  • Control and Systems Engineering

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