Abstract

During the last few years, a lot of study and research on the analysis of Electrocardiogram(ECG) has provided an intensive approach for the diagnosis of various heart diseases which is a leading cause of death worldwide. By examining the ECG waveform it is possible to obtain a number of useful measurements. The most important of these is the “QT interval” measurement because an abnormal QT interval can be allied with ventricular arrhythmias and sudden cardiac death. The QT interval is obtained by the detection of onset of the QRS complex and offset of the T wave. This work includes an endeavor for the efficient measurement of QT interval which mainly comprises of five stages like finding R peak using Pan Tompkins algorithm, detection of QRS onset, detection of T wave offset, measurement of QT interval and QT interval correction. The measurement of QT interval is implemented using LabWindows/CVI (C for Virtual Instrumentation). The performance evaluation of R peak detection is tested as per AAMI/ANSI/IEC 60601-2-47 standards using the databases that are available in Physionet like QT Database and MIT-BIH Arrhythmia Database. The performance evaluation of QT interval measurement is tested using a MindrayuMEC 10 Multiparametric monitoring unit and the algorithm achieved an accuracy of 96.73% for QT interval measurement.

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.