@article{article_289051, title={A Fully Automatic Novel Method to Determine QT Interval Based on Continuous Wavelet Transform}, journal={IU-Journal of Electrical & Electronics Engineering}, volume={17}, pages={3103–3111}, year={2017}, author={Yılmaz, Cüneyt and İşcan, Mehmet and Yılmaz, Abdurrahman}, keywords={ECG Signal,QT interval,ECG signal classification,Pan-Tompkins Algorithm,Continuous Wavelet Transform}, abstract={<p> <i> <span style="font-size:10.0pt;font-family:"Times New Roman","serif";mso-fareast-font-family: "Times New Roman";mso-ansi-language:EN-US;mso-fareast-language:EN-US; mso-bidi-language:AR-SA;mso-no-proof:yes">Nowadays, automatic recognition algorithm is being frequently utilized to extract the information concerning cardiac abnormalities. In this study, a fully automatic novel method based on the continuous wavelet transform (CWT) was developed for QT intervals in various ECG signals. Especially, the determination of T-wave end is the paramount problem to be solved.The developed method was performed to find the beginning of QRS complexes and the end of T-wave. The proposed algorithm was tested on MIT-BIH-NSR database given by QT database, then, it yielded the scores 15.17 milliseconds and root-mean-square error of 17.19 milliseconds at silver standard, 19.22 milliseconds and 20.22 milliseconds at gold standard, respectively. In conclusion, the proposed algorithm is a fully automatic method to attain a high performance in the calculation of QT intervals at various ECG signals. </span> </i> <br> </p>}, number={1}, publisher={İstanbul University-Cerrahpasa}