Automatic Detection of Q-T interval in ECG using MATLAB Tool

doi:10.21203/rs.3.rs-970625/v1

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Automatic Detection of Q-T interval in ECG using MATLAB Tool

https://doi.org/10.21203/rs.3.rs-970625/v1

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While measurement of QT prolongation in electrocardiogram (ECG) is important to clinical applications, but it is quite difficult to evaluate the performance of QT measurement algorithms using clinical ECGs because the real values of the Q-point and T-end point changes are usually unknown and is difficult to detect.

This research paper deals with the Abnormality Detection and its analysis using MATLAB tool software. In this paper, abnormity which is in concern is known as QT prolongation. Due to prolongation or extention of QT interval in the ECG graph obtained from abnormal patient, known as QT syndrome is caused.

For the analysis purpose, Large number of data has been taken from QT database and MIT-BIH database. Some of the other useful data were also obtained from other useful sources such as ECG wave maven. In this paper, we have dealt only with the detection of QT interval and its detection. A MATLAB algorithm has been generated which in turns detect the Q-wave and T-end point corresponding to its input samples.

This algorithm is designed and analyzed with more than 100 samples taken from the various data base sources. It detects onset of the Q-wave and T-end point which in turn is used to calculate QT interval of the analyzed ECG sample.

Biotechnology and Bioengineering

Abnormality

Detection

Q-T points

Q-T Syndrome

Algorithm

MATLAB

We wish to confirm that there are no known conflicts of interest associated with this publication and there has been no significant financial support for this work that could have influenced its outcome. We confirm that the manuscript has been read and approved by all named authors and that there are no other persons who satisfied the criteria for authorship but are not listed. We further confirm that the order of authors listed in the manuscript has been approved by all of us. We confirm that we have given due consideration to the protection of intellectual property associated with this work and that there are no impediments to publication, including the timing of publication, with respect to intellectual property. In so doing we confirm that we have followed the regulations of our institutions concerning intellectual property. We understand that the Corresponding Author is the sole contact for the Editorial process (including Editorial Manager and direct communications with the office). He/she is responsible for communicating with the other authors about progress, submissions of revisions and final approval of proofs. We confirm that we have provided a current, correct email address which is accessible by the Corresponding Author.

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Automatic Detection of Q-T interval in ECG using MATLAB Tool

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