XClinic Sensors: Validating Accuracy in Measuring Range of Motion Across Trauma Conditions

Background: Accidents and injuries are major causes of chronic disability, leading to a loss of healthy years. Accurate assessment is essential for planning personalized rehabilitation programs. In recent years, wearable sensors have been introduced into research for motion analysis. This study aimed to validate the Xclinic wearable sensors for ROM assessment in patients with trauma. Methods: Participants were recruited from the Sapienza University of Rome (September 2023–November 2024) after road accident trauma. The active ROM of the hip, knee, and ankle was assessed bilaterally based on the injury. The SF-36 and other specific tools were also administered. Construct validity was tested using Pearson’s correlation coefficient. Results: A total of 44 participants (mean age 42.7 ± 17.3 years, 69% male) were included. Item-by-item analysis revealed significant correlations, with notable findings related to other outcome measures. Conclusions: The correlation between joint restrictions, functional impairment, and psychosocial factors highlights the need to integrate physical and psychological care into rehabilitation. Further research is needed to refine assessment tools to improve patients’ quality of life.

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Publication Details

Journal
Applied Sciences
Published
2025-04-24
DOI
https://doi.org/10.3390/app15094731
Citations
1
Primary Topic
Non-Invasive Vital Sign Monitoring
Type
article
Field-Weighted Citation Impact
0.67
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article

XClinic Sensors: Validating Accuracy in Measuring Range of Motion Across Trauma Conditions

Raffaele La Russa, Donatella Valente, Ilaria Ruotolo, Giovanni Sellitto et al.
1 citations
Applied Sciences
Non-Invasive Vital Sign Monitoring
0.67
article

XClinic Sensors: Validating Accuracy in Measuring Range of Motion Across Trauma Conditions

Raffaele La Russa, Donatella Valente, Ilaria Ruotolo, Giovanni Sellitto, Giovanni Galeoto, Anna Berardi, Paola Frati, Gianpietro Volonnino, Francescaroberta Panuccio, Emanuele Amadio, Umberto Guidoni
article en
1 citations

Abstract

Background: Accidents and injuries are major causes of chronic disability, leading to a loss of healthy years. Accurate assessment is essential for planning personalized rehabilitation programs. In recent years, wearable sensors have been introduced into research for motion analysis. This study aimed to validate the Xclinic wearable sensors for ROM assessment in patients with trauma. Methods: Participants were recruited from the Sapienza University of Rome (September 2023–November 2024) after road accident trauma. The active ROM of the hip, knee, and ankle was assessed bilaterally based on the injury. The SF-36 and other specific tools were also administered. Construct validity was tested using Pearson’s correlation coefficient. Results: A total of 44 participants (mean age 42.7 ± 17.3 years, 69% male) were included. Item-by-item analysis revealed significant correlations, with notable findings related to other outcome measures. Conclusions: The correlation between joint restrictions, functional impairment, and psychosocial factors highlights the need to integrate physical and psychological care into rehabilitation. Further research is needed to refine assessment tools to improve patients’ quality of life.

Applied SciencesVol. 15(9)
University of L'Aquila (IT), Istituto Neurologico Mediterraneo (IT), Sapienza University of Rome (IT)
Openalex Percentile: Top 33%
Non-Invasive Vital Sign Monitoring
0.67
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