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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Ghaffari, A. Atyabi, S. Mollakazemi, M.J. Niknazar, M. Niknami, M. Soleimani, A. |
| Copyright Year | 2013 |
| Description | Author affiliation: Cardiovascular Div. of Imam Hossein Hosp., Isfahan Univ. of Med. Sci., Golpayegan, Iran (Niknami, M.) || Univ. of Grenoble, Grenoble, France (Niknazar, M.) || Dept. of Mech. Eng., Cardiovascular Res. Group (CVRG), K.N. Toosi Univ. of Technol., Tehran, Iran (Ghaffari, A.; Atyabi, S.; Mollakazemi, M.J.; Soleimani, A.) |
| Abstract | The aim of this study is the intelligent recognition of the fetal heart rate and its R-R intervals from noninvasive fetal electrocardiogram signals. The non-value data was first eliminated and the missing data were regenerated based on the statistical distribution of the data. Then, the power line noise and baseline noise are removed. At the next step, a variable threshold criterion was designed to detect the maternal R-waves. By eliminating the specific ranges of the maternal R waves from signal, the remaining data describe merely the fetal QRS complexes. Next, a window with a specific length was slid on $D_{1}$ signals and the envelope curves were extracted. The locations of each local maximum on the envelope curve represent the fetal R waves. Finally, in order to improve both the performance of the proposed method and the robustness of the algorithm to noise, an amendment technique with respect to the fetal and maternal R-R intervals was implemented The algorithm was applied on the test data set B consequently as the preliminary challenge scores. The average scores 108.766 and 15.480 were achieved as the best scores for the events 4 and 5, respectively, on phase 1, and 63.750 and 11.198 on phase 2. |
| Sponsorship | IEEE Eng. Med. Biol. Soc. |
| Starting Page | 293 |
| Ending Page | 296 |
| File Size | 882398 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781479908844 |
| ISSN | 2325887X |
| e-ISBN | 9781479908868 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2013-09-22 |
| Publisher Place | Spain |
| Access Restriction | Subscribed |
| Rights Holder | Creative Commons Attribution License 2.5 (CCAL) |
| Subject Keyword | Discrete wavelet transforms Abstracts Robustness Lead Heart Vectors |
| Content Type | Text |
| Resource Type | Article |
| Subject | Computer Science Cardiology and Cardiovascular Medicine |
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