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A New Automatic QT-Interval Measurement Method for Wireless ECG Monitoring System using Smartphone | ||
| Journal of Biomedical Physics and Engineering | ||
| مقالات آماده انتشار، پذیرفته شده، انتشار آنلاین از تاریخ 15 مرداد 1399 اصل مقاله (1.91 MB) | ||
| نوع مقاله: Technical Note | ||
| نویسندگان | ||
T P Utomo 1؛ N Nuryani  2؛ A S Nugroho3
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| 1MSc, Physics Department, Graduate Program, University Sebelas Maret Jl. Ir. Sutami 36A Kentingan Jebres Surakarta 57126, Indonesia | ||
| 2PhD, Physics Department, University Sebelas Maret Jl. Ir. Sutami 36A Kentingan Jebres Surakarta 57126, Indonesia | ||
| 3PhD, Center for Information and Communication Technology Agency for Assessment and Application of Technology, Indonesia | ||
| چکیده | ||
| QT-interval prolongation is an important parameter for heart arrhythmia diagnosis. It is the time interval from QRS-onset to the T-end of electrocardiogram (ECG). Manual measurement of QT-interval, especially for 12-leads ECG, is time-consuming. Hence, an automatic QT-interval measurement is necessary. A new method for automatic QT-interval measurement is presented in this paper, which mainly consists of three parts, including QRS-complex detection, determination of QRS-onset, and T-end determination. The QRS-complex detection is based on the modified Pan-Tompkins algorithm. The T-end is defined based on Region of Interest (ROI) maximum limit. We compare and test our proposed QT-interval measurement method with reference measurement in term of correlation coefficient and range of 95% LoA. The correlation coefficient and the range of 95% LoA are 0.575 and 0.290, respectively. The proposed method is successfully implemented in ECG monitoring system using smartphone with high performance. The accuracy, positive predictive, and sensitivity of the QRS-complex detection in the system are 99.70%, 99.78%, and 99.92%, respectively. The range of 95% LoA for the comparison between manual and the system’s QT-interval measurement is 0.216. The results show that the proposed method is dependable on the measure of the QT-interval and outperforms the other methods in term of correlation coefficient and range of 95% LoA. | ||
| کلیدواژه‌ها | ||
| Electrocardiography؛ Smartphone؛ Algorithms؛ Monitoring؛ Physiologic | ||
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آمار تعداد مشاهده مقاله: 123 تعداد دریافت فایل اصل مقاله: 86 |
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