
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
| 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). | 0 | |
| 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. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
