IRCCS Eugenio Medea
Published March 19, 2025 | Version v1
Dataset Open

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

Authors/Creators

  • 1. ROR icon IRCCS Eugenio Medea

Description

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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