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Machine learning approach to detect cardiac arrhythmias in ECG signals: A survey
Cardiac arrhythmia is a condition when the heart rate is irregular either the beat is too slow
or too fast. It occurs due to improper electrical impulses that coordinates the heart beats …
or too fast. It occurs due to improper electrical impulses that coordinates the heart beats …
Automated detection of shockable ECG signals: A review
Sudden cardiac death from lethal arrhythmia is a preventable cause of death. Ventricular
fibrillation and tachycardia are shockable electrocardiographic (ECG) rhythms that can …
fibrillation and tachycardia are shockable electrocardiographic (ECG) rhythms that can …
Deep feature learning for sudden cardiac arrest detection in automated external defibrillators
Ventricular fibrillation and ventricular tachycardia (VF/VT), known as shockable (SH)
rhythms, are the mainly cause of sudden cardiac arrests (SCA), which is cured efficiently by …
rhythms, are the mainly cause of sudden cardiac arrests (SCA), which is cured efficiently by …
A linearly adaptive sine–cosine algorithm with application in deep neural network for feature optimization in arrhythmia classification using ECG signals
This work proposes a novel variant namely Linear Adaptive Sine–Cosine Algorithm (LA-
SCA) of newly developed metaheuristic called Sine–Cosine Algorithm (SCA). The …
SCA) of newly developed metaheuristic called Sine–Cosine Algorithm (SCA). The …
An intelligent deep neural network with Opposition based Laplacian Equilibrium Optimizer to improve feature extraction using ECG signals
Problem The leading cause of death in the world is cardiovascular disease (CVD). It is
required to detect, prevent and manage cardiovascular diseases to reduce their effect and …
required to detect, prevent and manage cardiovascular diseases to reduce their effect and …
Intelligent and efficient detection of life-threatening ventricular arrhythmias in short segments of surface ECG signals
D Lai, X Fan, Y Zhang, W Chen - IEEE Sensors Journal, 2020 - ieeexplore.ieee.org
Ventricular fibrillation (VF) and rapid ventricular tachycardia (VT) of a heart rate over 180
beats min-1, commonly known as shockable rhythms (ShR), are life-threatening ventricular …
beats min-1, commonly known as shockable rhythms (ShR), are life-threatening ventricular …
[HTML][HTML] E-Cardiac care: A comprehensive systematic literature review
U Umar, S Nayab, R Irfan, MA Khan, A Umer - Sensors, 2022 - mdpi.com
The Internet of Things (IoT) is a complete ecosystem encompassing various communication
technologies, sensors, hardware, and software. IoT cutting-edge technologies and Artificial …
technologies, sensors, hardware, and software. IoT cutting-edge technologies and Artificial …
Artificial intelligence and machine learning in prehospital emergency care: A sco** review
ML Chee, ML Chee, H Huang, K Mazzochi, K Taylor… - Iscience, 2023 - cell.com
Our sco** review provides a comprehensive analysis of the landscape of artificial
intelligence (AI) applications in prehospital emergency care (PEC). It contributes to the field …
intelligence (AI) applications in prehospital emergency care (PEC). It contributes to the field …
A review of progress and an advanced method for shock advice algorithms in automated external defibrillators
Shock advice algorithm plays a vital role in the detection of sudden cardiac arrests on
electrocardiogram signals and hence, brings about survival improvement by delivering …
electrocardiogram signals and hence, brings about survival improvement by delivering …
Diagnosis of sudden cardiac arrest using principal component analysis in automated external defibrillators
Sudden cardiac arrest (SCA) consisting of ventricular fibrillation and ventricular tachycardia
considered as shockable rhythms is a life-threatening heart disease, which is treated …
considered as shockable rhythms is a life-threatening heart disease, which is treated …