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Preliminary Validation of an IMU-Based Physiotherapy Assessment System for the Lower Extremities

  • Alessandro Bonfiglio*
  • , Cecilia Petruccelli
  • , Giacomo Villa
  • , Raoul M. Bongers
  • , Elisabetta Farella
  • *Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

1 Citation (Scopus)
6 Downloads (Pure)

Abstract

Physiotherapy assessments traditionally rely on the clinician’s interpretation to evaluate musculoskeletal conditions. However, technology, such as Inertial Measurement Units (IMU), is increasingly used to assist medical professionals. This study evaluates the accuracy and reliability of the Euleria Lab (ELAB) rehabilitation system against an optical motion capture system (OPTO). 7 healthy volunteers were instrumented with 5 IMU and 22 retroreflective markers and performed lower limbs single-plane and multi-plane movements. Joint angles were used to compute Range of Motion (ROM), Root Mean Squared Error (RMSE), Bland-Altman plots and intraclass correlation coefficient (ICC). ROM and RMSE were analysed using two RM ANOVA. In multi-plane tasks, ankle, knee and hip angles were compared using Hotelling’s T2 statistical parametric mapping (SPM) test. No significant differences were found between the two systems for ROM and between tasks in terms of RMSE. However, hip rotation showed large RMSE and poor ICC reliability. Hip flexion and abduction showed good agreement and a systematic bias = 10°. Multi-joint tasks revealed significant differences only in hip flexion during lunges. Therefore, ELAB proved highly accurate and reliable for the assessment of the movements: ankle, knee, and trunk flexion, but demonstrated poor accuracy and agreement during the hip rotation movement. ELAB displayed significant biases but good agreement and minor errors during hip flexion and abduction.

Original languageEnglish
Title of host publicationPervasive Computing Technologies for Healthcare - 18th EAI International Conference, PervasiveHealth 2024, Proceedings
EditorsHaridimos Kondylakis, Andreas Triantafyllidis
PublisherSpringer Science and Business Media Deutschland GmbH
Pages142-158
Number of pages17
Edition1
ISBN (Electronic)9783031855726
ISBN (Print)9783031855719
DOIs
Publication statusPublished - 2025
Event18th EAI International Conference on Pervasive Computing Technologies for Healthcare, PervasiveHealth 2024 - Heraklion, Crete, Greece
Duration: 17-Sept-202418-Sept-2024

Publication series

NameLecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST
Volume611 LNICST
ISSN (Print)1867-8211
ISSN (Electronic)1867-822X

Conference

Conference18th EAI International Conference on Pervasive Computing Technologies for Healthcare, PervasiveHealth 2024
Country/TerritoryGreece
CityHeraklion, Crete
Period17/09/202418/09/2024

Keywords

  • Biomechanics
  • IMU
  • Physical assessments
  • Physiotherapy
  • Rehabilitation

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