@inproceedings{988151a167494da08ea12492a055aff9,
title = "Development of smart sole based foot ulcer prediction system",
abstract = "Foot ulcers are the most common medical complications seen in patients with diabetes with an estimated prevalence of 12-15 percent among all individuals with diabetes [1]. Patients suffering with diabetic foot ulcers are more susceptible to hospitalizations than any other complication of diabetes. Ulceration can have potential devastating complications as they cause up to 90 percent of lower extremity amputations in patients with diabetes. Thus it is essential for early diagnosis of foot ulceration among diabetic patients. The main aim of this paper is to build a wearable Smart Sole based prediction system capable of analyzing the plantar pressure at different strategic locations of the foot in real time and provide these results to the doctors for making the required decisions based on additional captured clinical data of the patients.",
author = "{Manohara Pai}, {M. M.} and Kolekar, {Sucheta V.} and Pai, {Radhika M.}",
year = "2019",
month = sep,
doi = "10.1109/ICCT46177.2019.8968777",
language = "English",
series = "2019 2nd International Conference on Intelligent Communication and Computational Techniques, ICCT 2019",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "87--90",
booktitle = "2019 2nd International Conference on Intelligent Communication and Computational Techniques, ICCT 2019",
address = "United States",
note = "2nd International Conference on Intelligent Communication and Computational Techniques, ICCT 2019 ; Conference date: 28-09-2019 Through 29-09-2019",
}
