Doppler Ultrasound Sense Performance for Cardiotography (CTG) Fetal Baby Heartbeat Detector Using Arduino Mega Pro Mini-Reference-Cited by-同舟云学术

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Doppler Ultrasound Sense Performance for Cardiotography (CTG) Fetal Baby Heartbeat Detector Using Arduino Mega Pro Mini

Published:2022-12-13 Issue: Volume: Page:
ISSN:
Container-title:2022 6th International Conference on Information Technology, Information Systems and Electrical Engineering (ICITISEE)
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Author:

Subono ¹,Hidayat Alfin¹,Wardhany Vivien Arief¹,Syamsiana Ika Noer²,Prayogo Galang Sandy¹,Agustina Nur Anis³

Affiliation:

1. Politeknik Negeri Banyuwangi,Department Informatics Enineering,Banyuwangi,Indonesia

2. Politeknik Negeri Malang,Electrical Engineering Department,Malang,Indonesia

3. Head of Public Health Service Kabat Pusat Kesehatan Masyarakat Kabat,Banyuwangi,Indonesia

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10057587/10057600/10057788.pdf?arnumber=10057788

Reference16 articles.

1. An Efficient Adaptive Filter for Fetal ECG Extraction Using Neural Network

2. Non-Invasive Fetal Monitoring: A Maternal Surface ECG Electrode Placement-Based Novel Approach for Optimization of Adaptive Filter Control Parameters Using the LMS and RLS Algorithms

3. An Extended Kalman Filter for Fetal Heart Location Estimation During Doppler-Based Heart Rate Monitoring

4. Enhancement of SNR in fetal ECG signal extraction using combined SWT and WLSR in parallel EKF

5. Extraction of Fetal Electrocardiogram signals using Blind Source Extraction Based Parallel Linear Predictor Filter

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