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

doi:10.1109/MED.2015.7158742

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

Physical Medicine and Rehabilitation

Research output: Chapter in Book/Report/Conference proceeding › Conference 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 language	English (US)
Title of host publication	2015 23rd Mediterranean Conference on Control and Automation, MED 2015 - Conference Proceedings
Editors	Victor Munoz, Joseba Quevedo, Jorge L. Martinez, Jesus Morales
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	143-149
Number of pages	7
ISBN (Electronic)	9781479999361
DOIs	https://doi.org/10.1109/MED.2015.7158742
State	Published - Jul 14 2015
Event	23rd Mediterranean Conference on Control and Automation, MED 2015 - Torremolinos, Spain Duration: Jun 16 2015 → Jun 19 2015

Publication series

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

Conference

Conference	23rd Mediterranean Conference on Control and Automation, MED 2015
Country/Territory	Spain
City	Torremolinos
Period	6/16/15 → 6/19/15

Keywords

EEG
EMG
biomechanical data
lower limb
synchronized registers

ASJC Scopus subject areas

Control and Optimization
Control and Systems Engineering

Access to Document

10.1109/MED.2015.7158742

Cite this

Ianez, E., Costa, A., Ceseracciu, E., Marquez-Sanchez, E., Pinuela-Martin, E., Asin, G., Del-Ama, A. J., Gil-Agudo, A., Reggiani, M., Pons, J. L., Moreno, J. C., & Azorin, J. M. (2015). Experimental architecture for synchronized recordings of cerebral, muscular and biomechanical data during lower limb activities. In V. Munoz, J. Quevedo, J. L. Martinez, & J. Morales (Eds.), 2015 23rd Mediterranean Conference on Control and Automation, MED 2015 - Conference Proceedings (pp. 143-149). [7158742] (2015 23rd Mediterranean Conference on Control and Automation, MED 2015 - Conference Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/MED.2015.7158742

Ianez, E. ; Costa, A. ; Ceseracciu, E. et al. / Experimental architecture for synchronized recordings of cerebral, muscular and biomechanical data during lower limb activities. 2015 23rd Mediterranean Conference on Control and Automation, MED 2015 - Conference Proceedings. editor / Victor Munoz ; Joseba Quevedo ; Jorge L. Martinez ; Jesus Morales. Institute of Electrical and Electronics Engineers Inc., 2015. pp. 143-149 (2015 23rd Mediterranean Conference on Control and Automation, MED 2015 - Conference Proceedings).

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

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.",

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

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Ianez, E, Costa, A, Ceseracciu, E, Marquez-Sanchez, E, Pinuela-Martin, E, Asin, G, Del-Ama, AJ, Gil-Agudo, A, Reggiani, M, Pons, JL, Moreno, JC & Azorin, JM 2015, Experimental architecture for synchronized recordings of cerebral, muscular and biomechanical data during lower limb activities. in V Munoz, J Quevedo, JL Martinez & J Morales (eds), 2015 23rd Mediterranean Conference on Control and Automation, MED 2015 - Conference Proceedings., 7158742, 2015 23rd Mediterranean Conference on Control and Automation, MED 2015 - Conference Proceedings, Institute of Electrical and Electronics Engineers Inc., pp. 143-149, 23rd Mediterranean Conference on Control and Automation, MED 2015, Torremolinos, Spain, 6/16/15. https://doi.org/10.1109/MED.2015.7158742

Experimental architecture for synchronized recordings of cerebral, muscular and biomechanical data during lower limb activities. / Ianez, E.; Costa, A.; Ceseracciu, E. et al.

2015 23rd Mediterranean Conference on Control and Automation, MED 2015 - Conference Proceedings. ed. / Victor Munoz; Joseba Quevedo; Jorge L. Martinez; Jesus Morales. Institute of Electrical and Electronics Engineers Inc., 2015. p. 143-149 7158742 (2015 23rd Mediterranean Conference on Control and Automation, MED 2015 - Conference Proceedings).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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AU - Ianez, E.

AU - Costa, A.

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AU - Marquez-Sanchez, E.

AU - Pinuela-Martin, E.

AU - Asin, G.

AU - Del-Ama, A. J.

AU - Gil-Agudo, A.

AU - Reggiani, M.

AU - Pons, Jose L

AU - Moreno, J. C.

AU - Azorin, J. M.

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N2 - 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.

AB - 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.

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

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PB - Institute of Electrical and Electronics Engineers Inc.

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ER -

Ianez E, Costa A, Ceseracciu E, Marquez-Sanchez E, Pinuela-Martin E, Asin G et al. Experimental architecture for synchronized recordings of cerebral, muscular and biomechanical data during lower limb activities. In Munoz V, Quevedo J, Martinez JL, Morales J, editors, 2015 23rd Mediterranean Conference on Control and Automation, MED 2015 - Conference Proceedings. Institute of Electrical and Electronics Engineers Inc. 2015. p. 143-149. 7158742. (2015 23rd Mediterranean Conference on Control and Automation, MED 2015 - Conference Proceedings). doi: 10.1109/MED.2015.7158742

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

Abstract

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Keywords

ASJC Scopus subject areas

Access to Document

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