Publication: ECG analyzing program for arrhythmia detection
dc.contributor.author | Pariyakorn Boonperm | en_US |
dc.contributor.author | Dit Supakasemwong | en_US |
dc.contributor.author | Phornphop Naiyanetr | en_US |
dc.contributor.other | Mahidol University | en_US |
dc.date.accessioned | 2018-11-23T10:06:55Z | |
dc.date.available | 2018-11-23T10:06:55Z | |
dc.date.issued | 2015-01-01 | en_US |
dc.description.abstract | © 2014 IEEE. The ECG analysis program can provide much information about cardiac disorder. Comparison with visual analysis, require specialist which are not available in many occasion. Therefore, computer-based technique that develops for ECG analysis can used to training inexperience staff and prediagnostic the ECG data. In this work, the ECG analyzing algorithm for arrhythmia detection was applied using MATLAB. Parameters that used in this analysis were peak of P wave, QRS Complex and T wave. The detection of the RR interval, PR interval, QRS complex, QT interval and conversion of the RR interval to heart rate (beat per minute) were developed. ECG analyzing program is easy to use by simply load the ECG data to analyze both the necessary value for arrhythmia detection and type of arrhythmia. In conclusion, the ECG analysis program using as a pre-screen test for ruler area and also use as a training system for medical staff was developed. | en_US |
dc.identifier.citation | BMEiCON 2014 - 7th Biomedical Engineering International Conference. (2015) | en_US |
dc.identifier.doi | 10.1109/BMEiCON.2014.7017428 | en_US |
dc.identifier.other | 2-s2.0-84922990582 | en_US |
dc.identifier.uri | https://repository.li.mahidol.ac.th/handle/20.500.14594/35922 | |
dc.rights | Mahidol University | en_US |
dc.rights.holder | SCOPUS | en_US |
dc.source.uri | https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84922990582&origin=inward | en_US |
dc.subject | Engineering | en_US |
dc.title | ECG analyzing program for arrhythmia detection | en_US |
dc.type | Conference Paper | en_US |
dspace.entity.type | Publication | |
mu.datasource.scopus | https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84922990582&origin=inward | en_US |