SigmoidOxy: A Light-weight mobile perfusion tool for diabetic foot management

Diabetic foot ulcers (DFUs) represent a significant global health challenge for the elderly with high mortality rates and complications. While imaging technologies like NIRS and hyperspectral imaging have improved wound assessment in clinical settings, their cost, and large size limit their use in the home and primary care. On the other hand, existing mobile solutions only capture secondary bio-markers like color and wound size. This paper introduces SigmoidOxy (or σ(Oxy)), a novel smartphone-based perfusion tool for DFU management. SigmoidOxy extracts oxygenation information from standard RGB images captured by smartphone cameras by applying hyperspectral reconstruction models to infer oxygenation. We evaluate SigmoidOxy's performance using the SPECTRALPACA dataset [2] finding an Average Persons R of 0.72 and Average Mean Absolute Error of 0.239 when comparing sigmoid oxygenation signals and analyze its sensitivity to ischemia in the DFUC2021 dataset [17].