Yonsei Med J.
2025 Jan;66(1):51-57. 10.3349/ymj.2023.0525.
Validation of Devices for the Five Times Sit To Stand Test: Comparing Plantar Pressure and Head Motion Analysis with Manual Measurement
- Affiliations
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- 1Department of Rehabilitation Medicine, Rehabilitation Institute of Neuromuscular Disease, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, Korea
- 2Department of Physical Medicine and Rehabilitation, Hallym University Sacred Heart Hospital, Hallym University College of Medicine, Anyang, Korea
- 3Command Center, Doheon Institute for Digital Innovation in Medicine, Hallym University Medical Center, Anyang, Korea
- 4Department of Medical Device Engineering and Management, The Graduate School, Yonsei University College of Medicine, Seoul, Korea
- 5Department of Integrative Medicine, The Graduate School, Yonsei University College of Medicine, Seoul, Korea
- KMID: 2563355
- DOI: http://doi.org/10.3349/ymj.2023.0525
Abstract
- Purpose
This study aims to evaluate a new method for the five times sit to stand test (FTSST), crucial for addressing frailty in an aging population. It utilizes a smart insole for plantar pressure analysis and a marker-less motion capture device for head height analysis.
Materials and Methods
Thirty-five participants aged 50 years or older underwent FTSST assessment using three methods: manual measurement with a stopwatch (FTSST-M), plantar pressure analysis with smart insoles (FTSST-P), and head height analysis with a marker-less motion capture device (FTSST-H). Simultaneous measurements using three methods were done. Correlation between results of these methods were analyzed using intraclass correlation coefficient (ICC) and κ coefficient. Comprehensive clinical examinations were conducted with ethical approval.
Results
Participants’ mean scores for FTSST-M, FTSST-P, and FTSST-H were 2.43±1.20, 2.43±1.29, and 2.37±1.31, respectively. Correlations of the times and corresponding scores between FTSST-P and FTSST-M, as well as FTSST-H and FTSST-M, exceeded 0.9 (ICC and κ coefficients, p<0.001). Using an FTSST score of 3 or less to indicate vulnerability, the κ value for vulnerability classification between two measurements was 0.886 (p<0.001).
Conclusion
This study showed strong correlation between FTSST results using smart insoles and marker-less motion capture, compared to conventional methods. These findings highlight the potential of these technologies for precise FTSST measurements, offering convenience and cost-effectiveness. Simultaneous use of these devices enables diverse analyses, enhancing our understanding of frailty.
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