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Updated: May 10, 2026

Video Movement Analysis Using Smartphones ViMAS: A Pilot Study
Published on: March 14, 2017
Smartphone-recorded real-world physical performance compared to standardized capacity-based outcome in patients with
Erdem Yurtsever1, Linda Bättig2, Raphael Gmeiner3
1Department of Neurosurgery, Cantonal Hospital Lucerne, Faculty of Health Sciences and Medicine, University of Lucerne, Kantonsspital 37, 6004, Lucerne, Switzerland.
Smartphone step counts offer a reliable measure of physical activity for patients with degenerative lumbar disorders (DLD) and sciatica. This technology complements traditional tests for assessing real-world performance and disability.
Area of Science:
- Biomedical Engineering
- Orthopedics
- Digital Health
Background:
- Degenerative lumbar disorders (DLD) with sciatica significantly impact patient mobility and function.
- Current assessment methods like patient-reported outcome measures (PROMs) and standardized tests may not fully capture real-world physical activity.
- Smartphones offer a continuous, accessible method for monitoring daily movement patterns, but their reliability in DLD sciatica patients is unestablished.
Purpose of the Study:
- To evaluate the accuracy of smartphone-derived daily step counts as a measure of real-life physical performance in patients with DLD-related sciatica.
- To examine the correlation between smartphone step counts and established subjective and objective outcome measures.
Main Methods:
- A prospective observational cohort study involving 50 patients with DLD-related sciatica scheduled for microsurgery.
- Physical performance assessed via smartphone step count and the 6-minute Walking Test (6WT-app).
- Subjective disability measured using paper-based PROMs (COMI-Back, ODI); data standardized using z-scores and analyzed with Spearman correlations.
Main Results:
- Mean daily step count was 4602 (z-score -1.1) and mean 6WT distance was 398 meters (z-score -1.4).
- Step count showed strong correlation with 6WT (r=0.70) and moderate correlations with ODI (r=-0.63) and COMI-Back (r=-0.65).
- Discrepancies noted between physical capacity and real-life performance, indicating distinct aspects of disability captured by each.
Conclusions:
- Smartphone-based step counting is a valid and objective indicator of physical performance in sciatica patients with DLD.
- The strong association with functional tests and self-reported disability suggests smartphone data can practically augment existing evaluation methods.
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