Pain medicine

Wearable motion-based platform for functional spine health assessment

Reg Anesth Pain MedPublished Observational study

Authors' conclusion

Our study validated the use of wearable sensor-derived functional motion metrics in differentiating healthy controls and patients.

Study context

Population
Healthy controls and patients with low back pain
Participants
50 vs 50
Exposure
Healthy controls vs patients with low back pain
  • Healthy controlsn = 50reference
  • Low back painn = 50
Outcome
Motion features

Main finding

As reported in the abstract

Axial-plane velocity higher in healthy controls than patients (largest difference)

49.7%

Axial-plane acceleration higher in healthy controls than patients (largest difference)

55.7%

Observational data: associations, not effects.

Secondary outcomes

Correlation of motion features with biopsychosocial measures

Significant correlations for pain, physical function and social role only

Original publication

Wearable motion-based platform for functional spine health assessment. Reg Anesth Pain Med. Published 9 October 2023. doi:10.1136/rapm-2023-104840

Composed by AI from the published abstract and checked against it. How Briefs are made →

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