Compact multi-channel optically pumped magnetometer for bio-magnetic field imaging

Z Yuan, Y Liu, M Xiang, Y Gao, Y Suo, M Ye… - Optics & Laser …, 2023 - Elsevier
Bio-magnetic field imaging systems are of great significance to biomedical research. This
study proposes a compact and high-resolution four-channel optically pumped …

Fetal arrhythmia detection based on labeling considering heartbeat interval

S Nakatani, K Yamamoto, T Ohtsuki - Bioengineering, 2022 - mdpi.com
Arrhythmia is one of the causes of sudden infant death, and it is very important to detect fetal
arrhythmia for fetal well-being. Fetal electrocardiogram (FECG) is one of the methods to …

Extracting fetal heart signals from Doppler using semi-supervised convolutional neural networks

Y Hirono, C Kai, A Yoshida, I Sato, N Kodama… - Frontiers in …, 2024 - frontiersin.org
Cardiotocography (CTG) measurements are critical for assessing fetal wellbeing during
monitoring, and accurate assessment requires well-traceable CTG signals. The current FHR …

Comparison of Machine Learning Algorithms for Heartbeat Detection Based on Accelerometric Signals Produced by a Smart Bed

ML Hoang, G Matrella, P Ciampolini - Sensors, 2024 - mdpi.com
This work aims to compare the performance of Machine Learning (ML) and Deep Learning
(DL) algorithms in detecting users' heartbeats on a smart bed. Targeting non-intrusive …

[HTML][HTML] A deep learning method for locating fetal heart rate decelerations during labour using crowd-sourced data

J Tolladay, M Tome, A Georgieva - Expert Systems with Applications, 2024 - Elsevier
Monitoring the heart rate of a fetus is the only method for continuously monitoring fetal well-
being during labour. Decelerations in the fetal heart rate, usually corresponding with …

The Approach to Sensing the True Fetal Heart Rate for CTG Monitoring: An Evaluation of Effectiveness of Deep Learning with Doppler Ultrasound Signals

Y Hirono, I Sato, C Kai, A Yoshida, N Kodama… - Bioengineering, 2024 - mdpi.com
Cardiotocography (CTG) is widely used to assess fetal well-being. CTG is typically obtained
using ultrasound and autocorrelation methods, which extract periodicity from the signal to …

The Development and Implementation of Innovative Blind Source Separation Techniques for Real-Time Extraction and Analysis of Fetal and Maternal …

M Mekhfioui, A Benahmed, A Chebak, R Elgouri… - Bioengineering, 2024 - mdpi.com
This article presents an innovative approach to analyzing and extracting electrocardiogram
(ECG) signals from the abdomen and thorax of pregnant women, with the primary goal of …

Computer Vision for Identification of Increased Fetal Heart Variability in Cardiotocogram

M Tarvonen, M Manninen, P Lamminaho, P Jehkonen… - Neonatology, 2024 - karger.com
Introduction: Increased fetal heart rate variability (IFHRV), defined as fetal heart rate (FHR)
baseline amplitude changes of> 25 beats per minute with a duration of≥ 1 min, is an early …

Deep Learning for Cardiotocography Analysis: Challenges and Promising Advances

C Chen, W Xie, Z Cai, Y Lu - International Conference on Intelligent …, 2023 - Springer
Given the recent emergence of deep neural networks and their remarkable ability to handle
complex tasks across various “elds and modalities, it is expected that fetal monitoring …

MT-1DCG: A Novel Model for Multivariate Time Series Classification

Y Lu, H Liang, Z Yu, X Fu - International Conference on Intelligent …, 2023 - Springer
Cardiotocography (CTG) is a critical component of prenatal fetal monitoring, offering
essential multivariate time series data that enables healthcare professionals to assess fetal …