Beat-to-beat fetal heart rate analysis using portable medical device and wavelet transformation technique.
| Autor: | Farahi M; Sana Meditech S.L. Company, 08014 Barcelona, Spain.; Enginyeria de Sistemas, Automatica i Informatica Industrial (ESAII), Universitat Politècnica de Catalunya, 08034 Barcelona, Spain., Casals A; Enginyeria de Sistemas, Automatica i Informatica Industrial (ESAII), Universitat Politècnica de Catalunya, 08034 Barcelona, Spain., Sarrafzadeh O; Sana Meditech S.L. Company, 08014 Barcelona, Spain., Zamani Y; Sana Meditech S.L. Company, 08014 Barcelona, Spain., Ahmadi H; Sana Meditech S.L. Company, 08014 Barcelona, Spain., Behbood N; Sana Meditech S.L. Company, 08014 Barcelona, Spain., Habibian H; Sana Meditech S.L. Company, 08014 Barcelona, Spain. |
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| Jazyk: | angličtina |
| Zdroj: | Heliyon [Heliyon] 2022 Dec 22; Vol. 8 (12), pp. e12655. Date of Electronic Publication: 2022 Dec 22 (Print Publication: 2022). |
| DOI: | 10.1016/j.heliyon.2022.e12655 |
| Abstrakt: | Objective: Beat-to-beat tele-fetal monitoring and comparison with clinical data are studied with a wavelet transformation approach. Tele-fetal monitoring is a big progress toward a wearable medical device for pregnant women capable of obtaining prenatal care at home. Study Design: We apply a wavelet transformation algorithm for fetal cardiac monitoring using a portable fetal Doppler medical device. After an investigation of 85 different mother wavelets, a bio-orthogonal 2.2 mother wavelet in level 4 of decomposition is chosen. The efficiency of the proposed method is evaluated using two data sets including public and clinical. Results: From publicly available data on PhysioBank, and simultaneous clinical measurement, we prove that the comparison between obtained fetal heart rate by the algorithm and the baselines yields a promising accuracy beyond 95%. Conclusion: Finally, we conclude that the proposed algorithm would be a robust technique for any similar tele-fetal monitoring approach. Competing Interests: The authors declare no conflict of interest. (© 2022 The Authors.) |
| Databáze: | MEDLINE |
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