Sixty-two plantar images of used SACH feet from Sri Lanka were scored by independent groups using a grid-based method. The dataset contains raw Kendall's W scores for assessing inter-observer and intra-observer reliability of a low-cost prosthetic foot wear evaluation method. The data was authored by Michael A. Berthaume and last updated on 2026-05-29.
Use Cases
- Assessing inter-observer reliability of a visual wear scoring method based on grid-cell analysis of prosthetic foot images.
- Evaluating intra-observer error for wear quantification methods based on repeated scoring of the same images.
- Comparing the performance of original and modified scoring methods based on agreement metrics like Kendall's W.
- Developing scalable community-based monitoring tools for prosthetic foot wear based on standardized visual indicators.
Strengths
- Dataset is focused on a specific, clinically relevant problem: wear assessment of prosthetic feet.
- Includes scores from four independent rater groups, allowing for inter-observer analysis.
- License is CC-BY-4.0, permitting broad reuse with attribution.
Limitations
- Dataset is very small at 69.5 KB, indicating limited scope.
- Row count and column-level documentation are unknown, requiring manual inspection after download.
- Data is specific to SACH feet from Sri Lanka, which may limit generalizability to other foot types or regions.
Provenance
- Source
- figshare
- Collection Method
- Wear scores were generated by applying a 20x10 grid to plantar images and scoring visual wear indicators from 0–9 per cell.
- Freshness
- Last updated 2026-05-29 17:43:22; freshness should be verified.
- Geography
- Sri Lanka