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Pregled bibliografske jedinice broj: 1213710

Feel Your Reach: An EEG-Based Framework to Continuously Detect Goal-Directed Movements and Error Processing to Gate Kinesthetic Feedback Informed Artificial Arm Control


Müller-Putz, Gernot R.; Kobler, Reinmar J.; Pereira, Joana; Lopes-Dias, Catarina; Hehenberger, Lea; Mondini, Valeria; Martínez-Cagigal, Víctor; Srisrisawang, Nitikorn; Pulferer, Hannah; Batistić, Luka; Sburlea, Andreea I.
Feel Your Reach: An EEG-Based Framework to Continuously Detect Goal-Directed Movements and Error Processing to Gate Kinesthetic Feedback Informed Artificial Arm Control // Frontiers in Human Neuroscience, 16 (2022), 841312, 21 doi:10.3389/fnhum.2022.841312 (međunarodna recenzija, članak, znanstveni)


CROSBI ID: 1213710 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
Feel Your Reach: An EEG-Based Framework to Continuously Detect Goal-Directed Movements and Error Processing to Gate Kinesthetic Feedback Informed Artificial Arm Control

Autori
Müller-Putz, Gernot R. ; Kobler, Reinmar J. ; Pereira, Joana ; Lopes-Dias, Catarina ; Hehenberger, Lea ; Mondini, Valeria ; Martínez-Cagigal, Víctor ; Srisrisawang, Nitikorn ; Pulferer, Hannah ; Batistić, Luka ; Sburlea, Andreea I.

Izvornik
Frontiers in Human Neuroscience (1662-5161) 16 (2022); 841312, 21

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

Ključne riječi
electroencephalogram (EEG), brain-computer interface (BCI), goal-directed movement, movement detection, trajectory decoding, error-related potential, kinesthetic feedback, spinal cord injury (SCI)

Sažetak
Establishing the basic knowledge, methodology, and technology for a framework for the continuous decoding of hand/arm movement intention was the aim of the ERC-funded project “Feel Your Reach”. In this work, we review the studies and methods we performed and implemented in the last 6 years, which build the basis for enabling severely paralyzed people to non-invasively control a robotic arm in real-time from electroencephalogram (EEG). In detail, we investigated goal-directed movement detection, decoding of executed and attempted movement trajectories, grasping correlates, error processing, and kinesthetic feedback. Although we have tested some of our approaches already with the target populations, we still need to transfer the “Feel Your Reach” framework to people with cervical spinal cord injury and evaluate the decoders’ performance while participants attempt to perform upper-limb movements. While on the one hand, we made major progress towards this ambitious goal, we also critically discuss current limitations.

Izvorni jezik
Engleski

Znanstvena područja
Elektrotehnika, Računarstvo, Interdisciplinarne tehničke znanosti, Psihologija



POVEZANOST RADA


Ustanove:
Tehnički fakultet, Rijeka,
Sveučilište u Rijeci

Profili:

Avatar Url Luka Batistić (autor)

Poveznice na cjeloviti tekst rada:

doi www.frontiersin.org

Citiraj ovu publikaciju:

Müller-Putz, Gernot R.; Kobler, Reinmar J.; Pereira, Joana; Lopes-Dias, Catarina; Hehenberger, Lea; Mondini, Valeria; Martínez-Cagigal, Víctor; Srisrisawang, Nitikorn; Pulferer, Hannah; Batistić, Luka; Sburlea, Andreea I.
Feel Your Reach: An EEG-Based Framework to Continuously Detect Goal-Directed Movements and Error Processing to Gate Kinesthetic Feedback Informed Artificial Arm Control // Frontiers in Human Neuroscience, 16 (2022), 841312, 21 doi:10.3389/fnhum.2022.841312 (međunarodna recenzija, članak, znanstveni)
Müller-Putz, G., Kobler, R., Pereira, J., Lopes-Dias, C., Hehenberger, L., Mondini, V., Martínez-Cagigal, V., Srisrisawang, N., Pulferer, H., Batistić, L. & Sburlea, A. (2022) Feel Your Reach: An EEG-Based Framework to Continuously Detect Goal-Directed Movements and Error Processing to Gate Kinesthetic Feedback Informed Artificial Arm Control. Frontiers in Human Neuroscience, 16, 841312, 21 doi:10.3389/fnhum.2022.841312.
@article{article, author = {M\"{u}ller-Putz, Gernot R. and Kobler, Reinmar J. and Pereira, Joana and Lopes-Dias, Catarina and Hehenberger, Lea and Mondini, Valeria and Mart\'{\i}nez-Cagigal, V\'{\i}ctor and Srisrisawang, Nitikorn and Pulferer, Hannah and Batisti\'{c}, Luka and Sburlea, Andreea I.}, year = {2022}, pages = {21}, DOI = {10.3389/fnhum.2022.841312}, chapter = {841312}, keywords = {electroencephalogram (EEG), brain-computer interface (BCI), goal-directed movement, movement detection, trajectory decoding, error-related potential, kinesthetic feedback, spinal cord injury (SCI)}, journal = {Frontiers in Human Neuroscience}, doi = {10.3389/fnhum.2022.841312}, volume = {16}, issn = {1662-5161}, title = {Feel Your Reach: An EEG-Based Framework to Continuously Detect Goal-Directed Movements and Error Processing to Gate Kinesthetic Feedback Informed Artificial Arm Control}, keyword = {electroencephalogram (EEG), brain-computer interface (BCI), goal-directed movement, movement detection, trajectory decoding, error-related potential, kinesthetic feedback, spinal cord injury (SCI)}, chapternumber = {841312} }
@article{article, author = {M\"{u}ller-Putz, Gernot R. and Kobler, Reinmar J. and Pereira, Joana and Lopes-Dias, Catarina and Hehenberger, Lea and Mondini, Valeria and Mart\'{\i}nez-Cagigal, V\'{\i}ctor and Srisrisawang, Nitikorn and Pulferer, Hannah and Batisti\'{c}, Luka and Sburlea, Andreea I.}, year = {2022}, pages = {21}, DOI = {10.3389/fnhum.2022.841312}, chapter = {841312}, keywords = {electroencephalogram (EEG), brain-computer interface (BCI), goal-directed movement, movement detection, trajectory decoding, error-related potential, kinesthetic feedback, spinal cord injury (SCI)}, journal = {Frontiers in Human Neuroscience}, doi = {10.3389/fnhum.2022.841312}, volume = {16}, issn = {1662-5161}, title = {Feel Your Reach: An EEG-Based Framework to Continuously Detect Goal-Directed Movements and Error Processing to Gate Kinesthetic Feedback Informed Artificial Arm Control}, keyword = {electroencephalogram (EEG), brain-computer interface (BCI), goal-directed movement, movement detection, trajectory decoding, error-related potential, kinesthetic feedback, spinal cord injury (SCI)}, chapternumber = {841312} }

Časopis indeksira:


  • Web of Science Core Collection (WoSCC)
    • Science Citation Index Expanded (SCI-EXP)
    • SCI-EXP, SSCI i/ili A&HCI
  • Scopus


Citati:





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