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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Tekeste, T. Bayasi, N. Saleh, H. Khandoker, A. Mohammad, B. Al-Qutayri, M. Ismail, M. |
| Copyright Year | 2015 |
| Description | Author affiliation: Dept. of Biomed. Eng., Khalifa Univ., Abu Dhabi, United Arab Emirates (Khandoker, A.) || Dept. of Electr. & Comput. Eng., Khalifa Univ., Abu Dhabi, United Arab Emirates (Tekeste, T.; Bayasi, N.; Saleh, H.; Mohammad, B.; Al-Qutayri, M.; Ismail, M.) |
| Abstract | ECG intervals such as QRS, QT and PR provide significant information and are widely used as clinical parameters for diagnosing cardiac diseases. This paper presents a novel QRS detection technique based on Curve Length Transform (CLT) and a refined delineation of P-wave and T-wave using Discrete Wavelet Transform (DWT). The proposed technique was verified using the PhysioNet database. The QRS detection achieved a sensitivity of 98.59% and a positive predictivity of 97.86%. The QRS duration, QT interval and PR interval had a mean error of -1.56± 28.8ms, -5.39± 42.4ms and 0.86± 40.3ms respectively. The proposed algorithm is computationally efficient and is simpler to implement in hardware, hence, will lead to a faster execution time, smaller design area and consequently low power consumption. |
| Starting Page | 998 |
| Ending Page | 1001 |
| File Size | 790095 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781479983919 |
| DOI | 10.1109/ISCAS.2015.7168804 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2015-05-24 |
| Publisher Place | Portugal |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Electrocardiography Feature extraction Biomedical engineering Discrete wavelet transforms Heart Discrete Wavelet Transform ECG interval P wave QRS complex T wave Curve length Transform |
| Content Type | Text |
| Resource Type | Article |
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