Deep Learning for ECG Synthesis

Author:   Brian M Hartz
Publisher:   Khan Publishers
ISBN:  

9783623533476


Pages:   152
Publication Date:   04 December 2023
Format:   Paperback
Availability:   In stock   Availability explained
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Deep Learning for ECG Synthesis


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Overview

One of the major causes of death is cardiovascular diseases. In 2019, it reached 32% of all deaths worldwide. ECG is widely used in the diagnosis of cardiovascular diseases mostly since it is non-invasive and painless. Diagnosis is usually performed by human specialists which is timeconsuming and prone to human error, in case of availability. However, automatic ECG diagnosis is becoming increasingly more acceptable since not only it eliminates randomized human errors, butalso it can be available as a bedside testing any time and anywhere using common and affordable wearable heart monitoring devices. Automatic ECG diagnosis algorithms are usually deep neural network classifier models which classify the ECG beats depending on the general pattern of the ECG heartbeat

Full Product Details

Author:   Brian M Hartz
Publisher:   Khan Publishers
Imprint:   Khan Publishers
Dimensions:   Width: 15.20cm , Height: 0.80cm , Length: 22.90cm
Weight:   0.213kg
ISBN:  

9783623533476


ISBN 10:   3623533475
Pages:   152
Publication Date:   04 December 2023
Audience:   General/trade ,  General
Format:   Paperback
Publisher's Status:   Active
Availability:   In stock   Availability explained
We have confirmation that this item is in stock with the supplier. It will be ordered in for you and dispatched immediately.

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