Beat-to-beat fetal heart rate analysis using portable medical device and wavelet transformation technique.


Por: Farahi M, Casals-Gelpi A, Sarrafzadeh O, Zamani Y, Ahmadi H, Behbood N and Habibian H

Publicada: 22 dic 2022
Categoría: Multidisciplinary

Resumen:
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.

Filiaciones:
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-Gelpi 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
ISSN: 24058440
Editorial
CELL PRESS, 50 HAMPSHIRE ST, FLOOR 5, CAMBRIDGE, MA 02139, Países Bajos
Tipo de documento: Article
Volumen: 8 Número: 12
Páginas:
WOS Id: 001093377400231
ID de PubMed: 36636218
imagen Open Access

MÉTRICAS