An Autoencoder-Based Fetal Heart Rate Detector for Noninvasive Recordings

• Published in: 2021 43rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) Vol. 2021; pp. 60 - 63
• Main Authors: Qureshi, Abuzar Ahmad, Wang, Lu, Ohtsuki, Tomoaki, Owada, Kazunari, Honma, Naoki, Hayashi, Hayato
• Format: Conference Proceeding Journal Article
• Language: English
• Published: United States IEEE 01.11.2021
• Subjects: Algorithms; Blind source separation; Electric potential; Electrocardiography; Female; Fetal heart rate; Heart Rate, Fetal; Humans; Muscles; Neural networks; Pregnancy; Signal analysis; Signal Processing, Computer-Assisted

Antenatal fetal health monitoring primarily depends on the signal analysis of abdominal or transabdominal electrocardiogram (ECG) recordings. The noninvasive approach for obtaining fetal heart rate (HR) reduces risks of potential infections and is convenient for the expectant mother. However, in add...