Beat-to-Beat Fetal Heart Rate Analysis Using Portable Medical Device and Wavelet Transformation Technique
| Autor: | Maria Farahi, Alícia Casals, Omid Sarrafzadeh, Yasaman Zamani, Hooran Ahmadi, Naeimeh Behbood, Hessam Habibian |
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| Přispěvatelé: | Universitat Politècnica de Catalunya. Doctorat en Enginyeria Biomèdica, Universitat Politècnica de Catalunya. Departament d'Enginyeria de Sistemes, Automàtica i Informàtica Industrial, Universitat Politècnica de Catalunya. TecSalut - Grup de Recerca en Tecnologies de la Salut |
| Rok vydání: | 2021 |
| Předmět: |
Signal processing
Multidisciplinary Informàtica::Automàtica i control [Àrees temàtiques de la UPC] Ciències de la salut::Medicina [Àrees temàtiques de la UPC] 92C55 Fetal monitoring Wavelet analysis Fetal heart rate Monitoratge fetal Quantitative Biology - Quantitative Methods FOS: Biological sciences FHR extraction Tele-fetal monitoring Quantitative Methods (q-bio.QM) |
| DOI: | 10.48550/arxiv.2103.01014 |
| Popis: | A 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 a pregnant woman capable of obtaining prenatal care at home. We apply a wavelet transformation algorithm for fetal cardiac monitoring using a portable fetal Doppler medical device. Choosing an appropriate mother wavelet, 85 different mother wavelets are investigated. The efficiency of the proposed method is evaluated using two data sets including public and clinical. 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%. Finally, we conclude that the proposed algorithm would be a robust technique for any similar tele-fetal monitoring approach. Comment: 12 pages, 12 figures |
| Databáze: | OpenAIRE |
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