Taştan, A. ; Hardalaç, N. ; Kavak, S. B. ; Hardalaç, F. (2018)
Detection of Fetal Reactions to Maternal Voice Using Doppler Ultrasound Signals.
2018 International Conference on Artificial Intelligence and Data Processing (IDAP). Malatya, Turkey (28.09.2018-30.09.2018)
doi: 10.1109/IDAP.2018.8620732
Konferenzveröffentlichung, Bibliographie
Kurzbeschreibung (Abstract)
In this work, blood flow data which were taken from middle cerebral artery(MCA) was recorded using Doppler Ultrasonography from 30 healthy individuals at 37-40 weeks gestation age who came to Fırat University Faculty of Medicine Hospital Gynecology and Obstetrics Department. Fetal blood flow data were taken seperately for each condition that female and maternal individuals were singing the lullaby during 2 minutes and non-stimulating. Recorded Doppler signals were processed with fast Fourier transform(FFT) and discrete wavelet transform(DWT) methods to understand whether fetus has sensitivity to maternal voice or not. Furthermore, achievements of FFT and DWT methods researched by comparing their results. Power spectral density(PSD)-frequency changes observed in both method. As a consequence of this work, fetus gave noticeably reactions to maternal voice in 3000-4000 and 8000-10000 frequency bands. This sensitivity to maternal voice can prove that fetus has a learning process with experience in uterus.
| Typ des Eintrags: | Konferenzveröffentlichung |
|---|---|
| Erschienen: | 2018 |
| Autor(en): | Taştan, A. ; Hardalaç, N. ; Kavak, S. B. ; Hardalaç, F. |
| Art des Eintrags: | Bibliographie |
| Titel: | Detection of Fetal Reactions to Maternal Voice Using Doppler Ultrasound Signals |
| Sprache: | Englisch |
| Publikationsjahr: | 1 Oktober 2018 |
| Verlag: | IEEE |
| Buchtitel: | 2018 International Conference on Artificial Intelligence and Data Processing |
| Veranstaltungstitel: | 2018 International Conference on Artificial Intelligence and Data Processing (IDAP) |
| Veranstaltungsort: | Malatya, Turkey |
| Veranstaltungsdatum: | 28.09.2018-30.09.2018 |
| DOI: | 10.1109/IDAP.2018.8620732 |
| Kurzbeschreibung (Abstract): | In this work, blood flow data which were taken from middle cerebral artery(MCA) was recorded using Doppler Ultrasonography from 30 healthy individuals at 37-40 weeks gestation age who came to Fırat University Faculty of Medicine Hospital Gynecology and Obstetrics Department. Fetal blood flow data were taken seperately for each condition that female and maternal individuals were singing the lullaby during 2 minutes and non-stimulating. Recorded Doppler signals were processed with fast Fourier transform(FFT) and discrete wavelet transform(DWT) methods to understand whether fetus has sensitivity to maternal voice or not. Furthermore, achievements of FFT and DWT methods researched by comparing their results. Power spectral density(PSD)-frequency changes observed in both method. As a consequence of this work, fetus gave noticeably reactions to maternal voice in 3000-4000 and 8000-10000 frequency bands. This sensitivity to maternal voice can prove that fetus has a learning process with experience in uterus. |
| Fachbereich(e)/-gebiet(e): | 18 Fachbereich Elektrotechnik und Informationstechnik 18 Fachbereich Elektrotechnik und Informationstechnik > Institut für Nachrichtentechnik 18 Fachbereich Elektrotechnik und Informationstechnik > Institut für Nachrichtentechnik > Signalverarbeitung |
| Hinterlegungsdatum: | 09 Apr 2019 12:08 |
| Letzte Änderung: | 15 Dez 2022 09:08 |
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