Prosthetic Foot Wear Scores from Sri Lanka, 62 Plantar Images

Sixty-two plantar images of used SACH prosthetic feet from Sri Lanka were scored for wear by four independent groups using a published method. The dataset, authored by Michael A. Berthaume and last updated in 2026, contains scores from applying a 20x10 grid to each image and rating wear from 0–9 per cell. It was used to assess inter- and intra-observer reliability for a low-cost, field-appropriate wear monitoring method.

Use Cases

• Evaluating inter-observer reliability of visual wear assessment methods based on grid scoring.
• Comparing original and modified scoring methods for prosthetic foot wear quantification.
• Developing community-based monitoring tools for prosthetic device replacement based on wear patterns.
• Training machine learning models to automate wear scoring from plantar images based on the described grid and rating system.

Strengths

• Dataset includes 62 plantar images of used prosthetic feet, providing a concrete sample size.
• Four independent groups performed scoring, allowing for reliability analysis.
• Data supports a published method for quantifying prosthetic foot wear.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• Data is limited to 366.4 KB, indicating a small-scale study.

Provenance

Source

figshare

Collection Method

Images of used SACH feet were scored by raters using a published grid-based method.

Freshness

Last updated 2026-05-29 17:43:21; freshness should be verified.

Geography

Sri Lanka