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Biomechanical Changes Related to Low Back Pain: An Innovative Tool for Movement Pattern Assessment and Treatment Evaluation in Rehabilitation
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A Novel IMU-Based System for Work-Related Musculoskeletal Disorders Risk Assessment.

Souha Baklouti1,2, Abdelbadia Chaker1, Taysir Rezgui3

  • 1Mechanical Laboratory of Sousse (LMS), National School of Engineers of Sousse, University of Sousse, Sousse 4023, Tunisia.

Sensors (Basel, Switzerland)
|June 19, 2024
PubMed
Summary

A new wearable system objectively assesses Work-Related Musculoskeletal Disorders (WMSDs) using Inertial Measurement Units (IMUs). It improves workplace safety by detecting ergonomic risks and guiding personalized interventions for conditions like tendinitis and low back pain.

Keywords:
WMSDs risk assessmentinertial measurement unitswearable technology

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Area of Science:

  • Occupational Health
  • Ergonomics
  • Wearable Technology

Background:

  • Work-Related Musculoskeletal Disorders (WMSDs) pose significant health risks and economic burdens in various industries.
  • Traditional WMSD assessment methods often lack objectivity, comprehensiveness, and sensitivity to subtle ergonomic hazards.
  • There is a need for advanced, objective tools to enhance workplace safety and prevent common musculoskeletal issues.

Purpose of the Study:

  • To introduce and evaluate a novel wearable Inertial Measurement Unit (IMU)-based system for objective Work-Related Musculoskeletal Disorders (WMSDs) risk assessment.
  • To enhance workplace safety through improved detection of ergonomic risks and personalized intervention strategies.
  • To validate the system's performance against established WMSD assessment tools.

Main Methods:

  • Development of a magnetometer-free wearable IMU system with a user-friendly interface for orientation estimation and joint angle measurement.
  • System testing in a cable manufacturing facility with ten female employees, including work cycle identification and inter-subject comparisons.
  • Benchmarking the system's WMSD risk evaluation against standard methods: RULA, REBA, Strain Index, and Rodgers Muscle Fatigue Analysis.

Main Results:

  • Demonstrated uniform joint patterns across participants (ICC=0.72±0.23), indicating system reliability.
  • Identified a higher occurrence of postures requiring investigation, often missed by traditional methods like RULA.
  • Showed close alignment between the proposed system's risk assessments and established methods, enabling targeted ergonomic interventions.

Conclusions:

  • The novel IMU-based system provides objective, comprehensive, and sensitive WMSD risk assessment, enhancing workplace safety.
  • The system effectively pinpoints specific ergonomic hazards and supports personalized intervention strategies for common issues like tendinitis, low back pain, and carpal tunnel syndrome.
  • Further validation and research into WMSD risk factors are recommended to refine assessment and intervention strategies for broader occupational health applications.