Unsupervised anomaly detection on multi-modal foot sensor data from healthy subjects creates a statistical baseline for future diabetic foot ulcer risk monitoring.
A review of wearable sensor systems to monitor plantar loading in the assessment of diabetic foot ulcers.IEEE Transactions on Biomedical Engineering, 67(7):1989– 2004, 2019
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Unsupervised Anomaly Detection in Wearable Foot Sensor Data: A Baseline Feasibility Study Towards Diabetic Foot Ulcer Prevention
Unsupervised anomaly detection on multi-modal foot sensor data from healthy subjects creates a statistical baseline for future diabetic foot ulcer risk monitoring.