NON-INVASIVE METHOD FOR DIABETES DETECTION USING NADI PARIKSHA AND ANN.

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Rushikesh Pradip Kulkarni
Prof. Mahesh S. Kumbhar

Abstract

Inthis work,a non invasive technique is proposed to detect diabetes from tridosha analysis. This system uses three piezoelectric pressure sensors for Vaat,Pitta and Kapha signals respectively.These three signals are then amplified and filtered using signal condition unit.Along with tridosha analysis, artificial neural network(ANN) is used for classification purpose. An ANN takes typical features extracted from signal as input.ANN is trained using back propagation algorithm tominimize the errorFeatures are related to amplitude and frequency variations.This system effectively uses knowledge of ayurveda for diagnosis of diabetes.

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Rushikesh Pradip Kulkarni, & Prof. Mahesh S. Kumbhar. (2021). NON-INVASIVE METHOD FOR DIABETES DETECTION USING NADI PARIKSHA AND ANN. International Journal of Innovations in Engineering Research and Technology, 1-3. https://repo.ijiert.org/index.php/ijiert/article/view/1095
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How to Cite

Rushikesh Pradip Kulkarni, & Prof. Mahesh S. Kumbhar. (2021). NON-INVASIVE METHOD FOR DIABETES DETECTION USING NADI PARIKSHA AND ANN. International Journal of Innovations in Engineering Research and Technology, 1-3. https://repo.ijiert.org/index.php/ijiert/article/view/1095

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