On the role of visual feedback and physiotherapist-patient interaction in robot-assisted gait training: an eye-tracking and HD-EEG study.

Autor: Patarini F; Department of Computer, Control and Management Engineering, Sapienza University of Rome, Via Ariosto, 25, 00185, Rome, Italy.; Neuroelectrical Imaging and Brain Computer Interface Lab, IRCCS Fondazione Santa Lucia, Rome, Italy., Tamburella F; Department of Life Sciences, Health and Health Professions, Link Campus University Rome, Rome, Italy.; Laboratory of Robotic Neurorehabilitation, IRCCS Fondazione Santa Lucia, Rome, Italy., Pichiorri F; Neuroelectrical Imaging and Brain Computer Interface Lab, IRCCS Fondazione Santa Lucia, Rome, Italy., Mohebban S; Neuroelectrical Imaging and Brain Computer Interface Lab, IRCCS Fondazione Santa Lucia, Rome, Italy., Bigioni A; Laboratory of Robotic Neurorehabilitation, IRCCS Fondazione Santa Lucia, Rome, Italy., Ranieri A; Department of Computer, Control and Management Engineering, Sapienza University of Rome, Via Ariosto, 25, 00185, Rome, Italy.; Neuroelectrical Imaging and Brain Computer Interface Lab, IRCCS Fondazione Santa Lucia, Rome, Italy., Di Tommaso F; Università Campus Bio-Medico di Roma, Rome, Italy., Tagliamonte NL; Laboratory of Robotic Neurorehabilitation, IRCCS Fondazione Santa Lucia, Rome, Italy.; Università Campus Bio-Medico di Roma, Rome, Italy., Serratore G; Laboratory of Robotic Neurorehabilitation, IRCCS Fondazione Santa Lucia, Rome, Italy., Lorusso M; Laboratory of Robotic Neurorehabilitation, IRCCS Fondazione Santa Lucia, Rome, Italy., Ciaramidaro A; Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Reggio Emilia, Italy.; Center of Neuroscience and Neurotechnology, University of Modena and Reggio Emilia, Modena, Italy., Cincotti F; Department of Computer, Control and Management Engineering, Sapienza University of Rome, Via Ariosto, 25, 00185, Rome, Italy., Scivoletto G; Laboratory of Robotic Neurorehabilitation, IRCCS Fondazione Santa Lucia, Rome, Italy., Mattia D; Neuroelectrical Imaging and Brain Computer Interface Lab, IRCCS Fondazione Santa Lucia, Rome, Italy., Toppi J; Department of Computer, Control and Management Engineering, Sapienza University of Rome, Via Ariosto, 25, 00185, Rome, Italy. jlenia.toppi@uniroma1.it.; Neuroelectrical Imaging and Brain Computer Interface Lab, IRCCS Fondazione Santa Lucia, Rome, Italy. jlenia.toppi@uniroma1.it.
Jazyk: angličtina
Zdroj: Journal of neuroengineering and rehabilitation [J Neuroeng Rehabil] 2024 Dec 03; Vol. 21 (1), pp. 211. Date of Electronic Publication: 2024 Dec 03.
DOI: 10.1186/s12984-024-01504-9
Abstrakt: Background: Treadmill based Robotic-Assisted Gait Training (t-RAGT) provides for automated locomotor training to help the patient achieve a physiological gait pattern, reducing the physical effort required by therapist. By introducing the robot as a third agent to the traditional one-to-one physiotherapist-patient (Pht-Pt) relationship, the therapist might not be fully aware of the patient's motor performance. This gap has been bridged by the integration in rehabilitation robots of a visual FeedBack (FB) that informs about patient's performance. Despite the recognized importance of FB in t-RAGT, the optimal role of the therapist in the complex patient-robot interaction is still unclear. This study aimed to describe whether the type of FB combined with different modalities of Pht's interaction toward Pt would affect the patients' visual attention and emotional engagement during t-RAGT.
Methods: Ten individuals with incomplete Spinal Cord Injury (C or D ASIA Impairment Scale level) were assessed using eye-tracking (ET) and high-density EEG during seven t-RAGT sessions with Lokomat where (i) three types of visual FB (chart, emoticon and game) and (ii) three levels of Pht-Pt interaction (low, medium and high) were randomly combined. ET metrics (fixations and saccades) were extracted for each of the three defined areas of interest (AoI) (monitor, Pht and surrounding) and compared among the different experimental conditions (FB, Pht-Pt interaction level). The EEG spectral activations in theta and alpha bands were reconstructed for each FB type applying Welch periodogram to data localised in the whole grey matter volume using sLORETA.
Results: We found an effect of FB type factor on all the ET metrics computed in the three AoIs while the factor Pht-Pt interaction level also combined with FB type showed an effect only on the ET metrics calculated in Pht and surrounding AoIs. Neural activation in brain regions crucial for social cognition resulted for high Pht-Pt interaction level, while activation of the insula was found during low interaction, independently on the FB used.
Conclusions: The type of FB and the way in which Pht supports the patients both have a strong impact on patients' engagement and should be considered in the design of a t-RAGT-based rehabilitation session.
Competing Interests: Declarations. Ethics approval and consent to participate: The study was approved by the local ethics board at FSL, Rome, Italy (PROT.CE/PROG. 883) and all the participants signed an informed consent. Consent for publication: Not applicable. Competing interests: The authors declare no competing interests.
(© 2024. The Author(s).)
Databáze: MEDLINE
Externí odkaz:
Nepřihlášeným uživatelům se plný text nezobrazuje