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Novel model of thermoregulation based on control theory used to evaluate peripheral microvascular function
Author(s) -
Chekh Viktor,
Soliz Peter,
Barriga Simon,
McGrew Elizabeth,
Kanagy Nancy,
Luan Shuang
Publication year - 2013
Publication title -
the faseb journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.709
H-Index - 277
eISSN - 1530-6860
pISSN - 0892-6638
DOI - 10.1096/fasebj.27.1_supplement.683.6
Subject(s) - peripheral , robustness (evolution) , thermoregulation , skin temperature , medicine , biomedical engineering , chemistry , biochemistry , gene
A novel heat transfer model has been developed to describe the thermal interaction of human tissue with the external environment. Thermal regulation is explicitly represented using feedback mechanism from control theory. The model was applied to data obtained from measuring the temperature of regions of interest (ROI) on the surface of the plantar foot with an infrared camera before and after a cold pressor test. The parameters of the model have been computed from the experimental results using numerical optimization. The robustness has been proven by interpolation of incomplete data: the model accurately (within 0.05–0.3□C) predicts the subject's recovery temperature. In addition, the results based on 20 subjects (7 normal (N), 7 diabetic (D) and 6 diabetic with diagnosed peripheral neuropathy (PN)) clearly show that the quality of body heat recovery, as well as the speed of thermoregulation are impaired by damage to the peripheral nerves and secondary vasculature dysfunction, suggest that this method could be efficiently used for early diagnosis of diabetic peripheral neuropathy. Preliminary results from one model parameter show that the average recovery rate after one minute for certain ROI was 5–30% for N, about 0% for D, and could be even negative for PN. This research was funded in part by the National Institute of Diabetes and Digestive and Kidney Diseases, grant DK093192 and NSF grant CBET‐0853157.