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

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...

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Detalles Bibliográficos
Autores: Farahi, Maria, Casals Gelpí, Alicia|||0000-0003-4706-5533, Sarrafzadeh, Omid, Zamani, Yasaman, Ahmadi, Houran, Behbood, Naeimeh, Habibian, Hessam
Tipo de recurso: artículo
Fecha de publicación:2022
País:España
Institución:Universitat Politècnica de Catalunya (UPC)
Repositorio:UPCommons. Portal del coneixement obert de la UPC
Idioma:inglés
OAI Identifier:oai:upcommons.upc.edu:2117/384042
Acceso en línea:https://hdl.handle.net/2117/384042
https://dx.doi.org/10.1016/j.heliyon.2022.e12655
Access Level:acceso abierto
Palabra clave:Fetal monitoring
Fetal heart rate
Tele-fetal monitoring
FHR extraction
Wavelet analysis
Signal processing
Monitoratge fetal
Àrees temàtiques de la UPC::Ciències de la salut::Medicina
Àrees temàtiques de la UPC::Informàtica::Automàtica i control
Descripción
Sumario: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.