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[HTML][HTML] Efficient ECG classification based on Chi-square distance for arrhythmia detection
This study introduces a new classifier tailored to address the limitations inherent in
conventional classifiers such as K-nearest neighbor (KNN), random forest (RF), decision …
conventional classifiers such as K-nearest neighbor (KNN), random forest (RF), decision …
[HTML][HTML] Heartbeat classification and arrhythmia detection using a multi-model deep-learning technique
Cardiac arrhythmias pose a significant danger to human life; therefore, it is of utmost
importance to be able to efficiently diagnose these arrhythmias promptly. There exist many …
importance to be able to efficiently diagnose these arrhythmias promptly. There exist many …
[HTML][HTML] Recent research for unobtrusive atrial fibrillation detection methods based on cardiac dynamics signals: A survey
F Jiang, Y Zhou, T Ling, Y Zhang, Z Zhu - Sensors, 2021 - mdpi.com
Atrial fibrillation (AF) is the most common cardiac arrhythmia. It tends to cause multiple
cardiac conditions, such as cerebral artery blockage, stroke, and heart failure. The morbidity …
cardiac conditions, such as cerebral artery blockage, stroke, and heart failure. The morbidity …
A novel P-QRS-T wave localization method in ECG signals based on hybrid neural networks
As the number of people suffering from cardiovascular diseases increases every year, it
becomes essential to have an accurate automatic electrocardiogram (ECG) diagnosis …
becomes essential to have an accurate automatic electrocardiogram (ECG) diagnosis …