Cardiac Arrhythmia Detection from Single-lead ECG using CNN and LSTM assisted by Oversampling

Abstract: Cardiac Arrhythmia is one of most commonly occurring cardiovascular disease in which atrial fibrillation is most commonly occurring arrhythmia which can be detected using single lead electrocardiogram. In this research, we develop a Deep Learning (DL) model with a combination of Convolutional Neural Net and Long Short-term Memory assisted by Oversampling technique which classifies the 2017 PhysioNet/CinC Challenge dataset into four classes, i.e. normal sinus rhythm, atrial fibrillation, others and noisy classes with an accuracy better than present techniques. We can integrate this Algorithm to CPS-heart to find abnormalities in the human heart.  

Algorithm used for Classification.

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CPS-Heart: Cyber-Physical Systems for Cardiovascular Diseases

Abstract

This paper describes the role of the cyber-physical system for care of the human heart. It proposes the general framework for three sensors for heart care i.e. ECG (Electrocardiogram) sensor, PCG (Phonocardiogram) sensor and Lung sound sensor which is connected to management, analysis, and processing server that will process the data and take it out some useful information from it that will be monitoring of heart health and prediction about any cardiovascular diseases. This paper describes the model from these sensors to data collection to processing to visualization. Different layers have many different modules which have different roles. This model will help many cardiovascular patients to monitor their heart health and it will also help these people to book their appointments to their nearest cardiologist using a mobile application or web application.

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Gabor Filter Presntation Image processing

GABOR FILTER 

Used For Image Detection In Image Processing 

 

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You can find basic Knowledge and its applications of Gabor Filter  

 

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