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.

COVID-19 has profoundly reshaped our world. The disruption to lives and livelihoods has been staggering. The economic devastation has thrown many industries into survival mode. As we begin to revive jobs and economies, it will be important to understand the impact of the crisis on the skills landscape. Universities among the ones adapting to the crisis. Equal access to education and skills is one of them. COVID-19 has further exposed many inequalities with respect to education and employability .Online learning has proven effective in delivering on that promise, now more than ever. From March to July of this year, more than 15 million new learners registered on different courses. School closures have disrupted higher education for millions of students in countries already in need of more accessible learning. Eighty percent of students enrolled in tertiary education are located in countries that have both closed schools due to COVID-19 and are in the bottom half of the world rankings for proficiency in business, technology, and data science skills. To help overcome deepening skill inequities, institutions must work together to democratize access to quality online learning resources and ensure we are all prepared for the rapidly changing economy.