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Review and study of uterine bioelectrical waveforms and vector analysis to identify electrical and mechanosensitive transduction control mechanisms during labor in …
The bioelectrical signals that produce uterine contractions during parturition are not
completely understood. The objectives are as follows:(1) to review the literature and …
completely understood. The objectives are as follows:(1) to review the literature and …
Origins of ECG and evolution of automated DSP techniques: A review
Over the years, researchers have studied the evolution of Electrocardiogram (ECG) and the
complex classification of cardiovascular diseases. This review focuses on the evolution of …
complex classification of cardiovascular diseases. This review focuses on the evolution of …
Spatiotemporal differentiation of myocardial infarctions
Myocardial infarction (MI), also known as a heart attack, is the leading cause of death in the
US It often occurs due to the occlusion of coronary arteries, thereby leading to insufficient …
US It often occurs due to the occlusion of coronary arteries, thereby leading to insufficient …
Identifying patients with paroxysmal atrial fibrillation from sinus rhythm ECG using random forests
Paroxysmal atrial fibrillation (PAF) is a cardiac arrhythmia which is often challenging to
diagnose because patients may be asymptomatic, and episodes are usually intermittent. In …
diagnose because patients may be asymptomatic, and episodes are usually intermittent. In …
Intelligent system based on Genetic Algorithm and support vector machine for detection of myocardial infarction from ECG signals
Myocardial Infarction (MI) is one of the well-known heart attacks. This cardiac abnormality
occurs when the artery connecting the heart is blocked. The main aim of this paper is to …
occurs when the artery connecting the heart is blocked. The main aim of this paper is to …
Cross subject myocardial infarction detection from vectorcardiogram signals using binary harry hawks feature selection and ensemble classifiers
Myocardial infarction (MI), widely referred to as a heart attack, is a leading reason for deaths
worldwide. It is frequently caused by coronary artery occlusion, resulting in inadequate …
worldwide. It is frequently caused by coronary artery occlusion, resulting in inadequate …
Physics-driven spatiotemporal regularization for high-dimensional predictive modeling: A novel approach to solve the inverse ECG problem
This paper presents a novel physics-driven spatiotemporal regularization (STRE) method for
high-dimensional predictive modeling in complex healthcare systems. This model not only …
high-dimensional predictive modeling in complex healthcare systems. This model not only …
Heterogeneous recurrence analysis of heartbeat dynamics for the identification of sleep apnea events
Obstructive sleep apnea (OSA) is a common sleep disorder that affects 24% of adult men
and 9% of adult women. It occurs due to the occlusion of the upper airway during sleep …
and 9% of adult women. It occurs due to the occlusion of the upper airway during sleep …
Accurate QRS complex detection in 12-lead ECG signals using multi-lead fusion
In this paper, a novel multi-lead fusion approach for accurate detection of the QRS complex
from 12-lead ECG (Electrocardiogram) signals is proposed. The framework is divided into …
from 12-lead ECG (Electrocardiogram) signals is proposed. The framework is divided into …
Cardiac Arrhythmia classification based on 3D recurrence plot analysis and deep learning
Artificial intelligence (AI) aided cardiac arrhythmia (CA) classification has been an emerging
research topic. Existing AI-based classification methods commonly analyze …
research topic. Existing AI-based classification methods commonly analyze …