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An Evaluation of Real-world Smart Sock-Based Temperature Monitoring Data as a Physiological Indicator of Early Diabetic Foot Injury: Case-Control Study.

Alexander M ReyzelmanChia-Ding ShihGregory TovmassianMohan NathanRan MaHenk Jan ScholtenKara MalhotraDavid G Armstrong
Published in: JMIR formative research (2022)
The results of this study suggest temperature monitoring in a sock form factor could be used to predict a developing foot injury. The continuous temperature monitoring system employed has implications for further algorithm development to enable early detection. The study was limited by a nonrandomized, observational design with limited injuries present in the study period. We look forward to further studies that will refine the predictive potential and confirm or refute the current promising data.
Keyphrases
  • neural network