Research Article
A Contemplative Analysis of Thyroid Disorders based on ECG Signal and Thyroid Test Measure
@ARTICLE{10.4108/eai.1-7-2020.166006, author={M. Deepika and K. Kalaiselvi}, title={A Contemplative Analysis of Thyroid Disorders based on ECG Signal and Thyroid Test Measure}, journal={EAI Endorsed Transactions on Energy Web}, volume={8}, number={32}, publisher={EAI}, journal_a={EW}, year={2020}, month={8}, keywords={Classification, Data Mining, ECG, Heart rate, Hypothyroid, Hyperthyroid, QRS duration and Thyroid test measures}, doi={10.4108/eai.1-7-2020.166006} }- M. Deepika
K. Kalaiselvi
Year: 2020
A Contemplative Analysis of Thyroid Disorders based on ECG Signal and Thyroid Test Measure
EW
EAI
DOI: 10.4108/eai.1-7-2020.166006
Abstract
Hypothyroidism can influence the heart and circulatory framework in various manners. Inadequate thyroid hormone eases back the pulse. With the goal of forecasting hypothyroid, by utilizing thyroid measures turns out to be high intricacy in order of Hypothyroid and Hyperthyroid. Some of the common clinically most relevant findings explaining hyperthyroidism as well as hypothyroidism are the anatomic symptoms of the disease of Thyroid disease. Data Mining plays a vital role in the process of prediction and classification. The proposed work utilizes the information mining methods, such as the characterization and expectation by adopting parallel tree calculation. A Trust Region method for Nonlinear Minimization streamlining calculation is incorporated in the count of QRS point discovery in electrocardiogram (ECG) signal. This proposed model is re-enacted on the MATLAB R2014b. This analysis is used to assess the relationship among outright thyroxine (T4) and thyrotropin (TSH) levels with ECG parameters.
Copyright © 2020 M. Deepika et al., licensed to EAI. This is an open access article distributed under the terms of the Creative Commons Attribution license, which permits unlimited use, distribution and reproduction in any medium so long as the original work is properly cited.
