Artificial intelligence (AI) has revolutionized numerous industries, including medicine. In
recent years, the integration of AI into medical practices has shown great promise in …

Electrocardiography is the gold standard technique for detecting abnormal heart conditions.
Automatic detection of electrocardiogram (ECG) abnormalities helps clinicians analyze the …

Body surface potential mapping (BSPM) is a noninvasive modality to assess cardiac
bioelectric activity with a rich history of practical applications for both research and clinical …

The amalgamation of the Internet of medical things with artificial intelligence shows
tremendous benefits in health care. Accurate detection of the fetal QRS complex is highly …

The non-invasive fetal electrocardiogram (fECG) enables easy detection of developing heart
abnormalities, leading to a significant reduction in infant mortality rate and post-natal …

Metaheuristic algorithms (MAs) have become one of the primary tools for optimization in
diverse domains, including non-invasive fetal electrocardiogram (fECG) extraction …

This study aimed to find the most suitable combination of adaptive and non-adaptive
methods for extraction of non-invasive fetal electrocardiogram (NI-fECG) using signals …

Abstract Machine learning technologies and translation of artificial intelligence tools to
enhance the patient experience are changing obstetric and maternity care. An increasing …

Fetal electrocardiograms (FECGs) provide important clinical information for early diagnosis
and intervention. However, FECG signals are extremely weak and are greatly influenced by …

Despite the rapid growth in the area of adult ECG signal processing and monitoring systems,
the morphological analysis of fetal ECG signals lags farther behind and demands much …