A thermoregulation model to detect diabetic peripheral neuropathy
- Resource Type
- Conference
- Authors
- Agurto, Carla; Chek, Viktor; Edwards, Ana; Jarry, Zyden; Barriga, Simon; Simon, Janet; Soliz, Peter
- Source
- 2016 IEEE Southwest Symposium on Image Analysis and Interpretation (SSIAI) Image Analysis and Interpretation (SSIAI), 2016 IEEE Southwest Symposium on. :13-16 Mar, 2016
- Subject
- Signal Processing and Analysis
Foot
Mathematical model
Diabetes
Biological system modeling
Blood
Cameras
Cooling
Diabetic peripheral neuropathy
Infrared imaging
thrermoregulation model
- Language
Cold provocation experiments were conducted to evaluate empirically a thermoregulation model of the plantar foot. An infrared camera recorded the temperature of the feet after removal of a cold patch to document the recovery process in order to validate the non-linear thermoregulation model. To do so, four healthy controls and four diabetic peripheral neuropathy (DPN) subjects were recruited. The thermal response of six areas of the plantar foot was analyzed. The non-linear thermoregulation model is compared to Newton's simple cooling model. The experimental data showed a better performance of the thermoregulation model in the classification of subjects with DPN. In addition, the proposed approach shows a better correlation with areas in the foot with signs of neuropathy.