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ZENODO
Dataset . 2025
License: CC BY
Data sources: ZENODO
ZENODO
Dataset . 2025
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2025
License: CC BY
Data sources: Datacite
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Dataset about self-evaluation and physiological metrics to investigate patient experience during robot assisted rehabilitation

Authors: Biffi, Emilia; Chiappini, Mattia; Malerba, Giorgia; Dei, Carla; Bellazzecca, Silvia; Falivene, Anna; Costantini, Simone; +3 Authors

Dataset about self-evaluation and physiological metrics to investigate patient experience during robot assisted rehabilitation

Abstract

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. 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). 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 ‘Fit4MedRob - Fit for Medical Robotics’ Grant (# PNC0000007) Please cite this paper if you use this database: Chiappini M, Malerba G, Dei C, et al 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

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average