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Main Authors: Biffi, Emilia, Chiappini, Mattia, Malerba, Giorgia, Dei, Carla, Bellazzecca, Silvia, Falivene, Anna, Costantini, Simone, Morganti, Roberta, Diella, Eleonora, Storm, Fabio Alexander
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Published: Zenodo 2025
Online Access:https://doi.org/10.5281/zenodo.15054030
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author Biffi, Emilia
Chiappini, Mattia
Malerba, Giorgia
Dei, Carla
Bellazzecca, Silvia
Falivene, Anna
Costantini, Simone
Morganti, Roberta
Diella, Eleonora
Storm, Fabio Alexander
author_facet Biffi, Emilia
Chiappini, Mattia
Malerba, Giorgia
Dei, Carla
Bellazzecca, Silvia
Falivene, Anna
Costantini, Simone
Morganti, Roberta
Diella, Eleonora
Storm, Fabio Alexander
contents <p>The dataset includes the perspectives of children and adolescents undergoing Lokomat® gait rehabilitation, combining physiological, self-reported and observational measures to explore patient experience and psychological states.  </p> <p>Subjective data were collected using ad-hoc questionnaires completed by both patients and therapists, evaluating different psychological domains: emotional, cognitive, and dispositional. Patients completed a three-point Likert scale and a Bubble-comic questionnaire, while therapist completed a seven-point semantic differential scale questionnaire. Objective data from the Empatica E4 wearable sensor included heart rate variability (HRV) and electrodermal activity (EDA).</p> <p> </p> <p>This data collection was funded by the Italian Ministry of Health (RC 2022/2026 to E. Biffi) and partially funded by the  Italian Ministry of University and Research under the complementary actions to the NRRP <span>‘Fit4MedRob - Fit for Medical Robotics</span><span>’</span><span> Grant (# PNC0000007)</span></p> <p>Please cite this paper if you use this database:</p> <div>Chiappini M, Malerba G, Dei C, et al</div> <div>Understanding patient experience during Lokomat rehabilitation in children and adolescents: a clinical observational study combining self-evaluation and physiological metrics. BMJ Open 2026;16:e102583. doi: 10.1136/bmjopen-2025-102583</div>
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spellingShingle Dataset about self-evaluation and physiological metrics to investigate patient experience during robot assisted rehabilitation
Biffi, Emilia
Chiappini, Mattia
Malerba, Giorgia
Dei, Carla
Bellazzecca, Silvia
Falivene, Anna
Costantini, Simone
Morganti, Roberta
Diella, Eleonora
Storm, Fabio Alexander
<p>The dataset includes the perspectives of children and adolescents undergoing Lokomat® gait rehabilitation, combining physiological, self-reported and observational measures to explore patient experience and psychological states.  </p> <p>Subjective data were collected using ad-hoc questionnaires completed by both patients and therapists, evaluating different psychological domains: emotional, cognitive, and dispositional. Patients completed a three-point Likert scale and a Bubble-comic questionnaire, while therapist completed a seven-point semantic differential scale questionnaire. Objective data from the Empatica E4 wearable sensor included heart rate variability (HRV) and electrodermal activity (EDA).</p> <p> </p> <p>This data collection was funded by the Italian Ministry of Health (RC 2022/2026 to E. Biffi) and partially funded by the  Italian Ministry of University and Research under the complementary actions to the NRRP <span>‘Fit4MedRob - Fit for Medical Robotics</span><span>’</span><span> Grant (# PNC0000007)</span></p> <p>Please cite this paper if you use this database:</p> <div>Chiappini M, Malerba G, Dei C, et al</div> <div>Understanding patient experience during Lokomat rehabilitation in children and adolescents: a clinical observational study combining self-evaluation and physiological metrics. BMJ Open 2026;16:e102583. doi: 10.1136/bmjopen-2025-102583</div>
title Dataset about self-evaluation and physiological metrics to investigate patient experience during robot assisted rehabilitation
url https://doi.org/10.5281/zenodo.15054030