A review of recurrent neural network-based methods in computational physiology
Artificial intelligence and machine learning techniques have progressed dramatically and
become powerful tools required to solve complicated tasks, such as computer vision, speech …
become powerful tools required to solve complicated tasks, such as computer vision, speech …
Classification of Electrocardiography Hybrid Convolutional Neural Network‐Long Short Term Memory with Fully Connected Layer
D Ramachandran, RS Kumar… - Computational …, 2022 - Wiley Online Library
Electrocardiography (ECG) is a technique for observing and recording the electrical activity
of the human heart. The usage of an ECG signal is common among clinical professionals in …
of the human heart. The usage of an ECG signal is common among clinical professionals in …
Survey of heart disease prediction and identification using machine learning approaches
RG Franklin, B Muthukumar - 2020 3rd International …, 2020 - ieeexplore.ieee.org
Heart disease is highlighted as the major one among the various death factors. Detecting
heart disease tends to be a bit complex due to insufficient knowledge and experience of the …
heart disease tends to be a bit complex due to insufficient knowledge and experience of the …
Electrocardiogram based cardiovascular disease detection with Ensemble Learning Classifier
V Gururaj, SP Shankar… - 2022 4th International …, 2022 - ieeexplore.ieee.org
Cardiovascular diseases are the main causes of death in today's world. This has driven the
need for new technology to be employed to help detect any heart diseases faster and more …
need for new technology to be employed to help detect any heart diseases faster and more …
[PDF][PDF] Arrhythmia and disease classification based on deep learning techniques
RG Franklin, B Muthukumar - Intell. Autom. Soft Comput, 2021 - pdfs.semanticscholar.org
Electrocardiography (ECG) is a method for monitoring the human heart's electrical activity.
ECG signal is often used by clinical experts in the collected time arrangement for the …
ECG signal is often used by clinical experts in the collected time arrangement for the …