[HTML][HTML] Machine learning empowered COVID-19 patient monitoring using non-contact sensing: An extensive review
The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), which caused the
coronavirus disease 2019 (COVID-19) pandemic, has affected more than 400 million people …
coronavirus disease 2019 (COVID-19) pandemic, has affected more than 400 million people …
Advanced bioelectrical signal processing methods: Past, present and future approach—part i: Cardiac signals
Advanced signal processing methods are one of the fastest develo** scientific and
technical areas of biomedical engineering with increasing usage in current clinical practice …
technical areas of biomedical engineering with increasing usage in current clinical practice …
Fetal electrocardiograms, direct and abdominal with reference heartbeat annotations
Monitoring fetal heart rate (FHR) variability plays a fundamental role in fetal state
assessment. Reliable FHR signal can be obtained from an invasive direct fetal …
assessment. Reliable FHR signal can be obtained from an invasive direct fetal …
Fetal electrocardiogram extraction using dual-path source separation of single-channel non-invasive abdominal recordings
Objective: The development of a method for non-invasive monitoring of fetal
electrocardiogram (FECG) signals from single-channel abdominal recordings. Methods: The …
electrocardiogram (FECG) signals from single-channel abdominal recordings. Methods: The …
Artificial intelligence and machine learning in electronic fetal monitoring
Electronic fetal monitoring is used to evaluate fetal well-being by assessing fetal heart
activity. The signals produced by the fetal heart carry valuable information about fetal health …
activity. The signals produced by the fetal heart carry valuable information about fetal health …
Integrated s-transform-based learning system for detection of arrhythmic fetus
Measurement of abnormal heartbeat rhythm of a fetus to detect arrhythmia using fetal-
electrocardiogram (f-ECG) signals is one of the most convenient methods, used to quickly …
electrocardiogram (f-ECG) signals is one of the most convenient methods, used to quickly …
A novel algorithm based on ensemble empirical mode decomposition for non-invasive fetal ECG extraction
Non-invasive fetal electrocardiography appears to be one of the most promising fetal
monitoring techniques during pregnancy and delivery nowadays. This method is based on …
monitoring techniques during pregnancy and delivery nowadays. This method is based on …
A dilated inception CNN-LSTM network for fetal heart rate estimation
Objective. Fetal heart rate (HR) monitoring is routinely used during pregnancy and labor to
assess fetal well-being. The noninvasive fetal electrocardiogram (ECG), obtained by …
assess fetal well-being. The noninvasive fetal electrocardiogram (ECG), obtained by …
PA²Net: Period-aware attention network for robust fetal ECG detection
X Wang, Z He, Z Lin, Y Han, T Liu… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
The noninvasive fetal ECG (FECG) is used to monitor fetal well-being at prenatal and
intrapartum. However, it is challenging to detect the FECG signal from the abdominal …
intrapartum. However, it is challenging to detect the FECG signal from the abdominal …
Correlation-aware attention CycleGAN for accurate fetal ECG extraction
X Wang, Z He, Z Lin, Y Han, W Su… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
The fetal electrocardiogram (FECG) is of great significance for fetal monitoring during
peripartum and intrapartum. However, it is difficult to extract FECG signals from the …
peripartum and intrapartum. However, it is difficult to extract FECG signals from the …