Journal of Diabetes Science and Technology · 2013 · 156 citations · 15 references
With an algorithm based on parameters that can be captured and analyzed with a high-resolution infrared camera and a computer, it is possible to detect signs of diabetic foot disease and to discriminate between no, local, or diffuse diabetic foot complications. As such, an intelligent telemedicine monitoring system for noninvasive automated detection of signs of diabetic foot disease is one step closer. Future studies are essential to confirm and extend these promising early findings.
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Preventing Diabetic Foot Ulcer Recurrence in High-Risk Patients
Lawrence A. Lavery, Kevin R. Higgins, Dan R. Lanctot et al. · Diabetes Care · 2006 · 414 citations · Full text
Home Monitoring of Foot Skin Temperatures to Prevent Ulceration
Lawrence A. Lavery, Kevin R. Higgins, Dan R. Lanctot et al. · Diabetes Care · 2004 · 361 citations · Full text