A Physiological Thermal Regulation Model with Application to the Diagnosis of Diabetic Peripheral Neuropathy

Perfusion and thermal conductivity parameter extraction, from thermal imaging, for the quantification of the diabetic foot disease

“…Based on the important literature working on DF with thermal sensor, it seems clear that thermal information are valuable for the practitioner, but absolute temperature don't seem to be enough for an accurate classification of the foot state, transient information are needed [3]. Therefore, some works [4], [5] investigated the temporal thermal signal following a thermal stimulus. The return to equilibrium allowed to extract parameters and these parameters were then compared to the state of each patient.…”

“…The return to equilibrium allowed to extract parameters and these parameters were then compared to the state of each patient. The principal conclusion of these works was that a difference between volunteers and patients with DF seemed to appear regarding a micro perfusion like parameter (generally denoted ), especially if this parameter is extracted using only the first seconds of the signal [5], [6]. Moreover, some of these works are able to obtain a good sensibility and specificity using a perfusion parameter evolving through time ( ( )).…”