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portada Deep Learning for ECG Synthesis (in English)
Type
Physical Book
Language
English
Pages
152
Format
Paperback
Dimensions
22.9 x 15.2 x 0.8 cm
Weight
0.21 kg.
ISBN13
9783623533476

Deep Learning for ECG Synthesis (in English)

Brian M. Hartz (Author) · Khan Publishers · Paperback

Deep Learning for ECG Synthesis (in English) - M. Hartz, Brian

Physical Book

$ 22.40

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Synopsis "Deep Learning for ECG Synthesis (in English)"

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 timeconsumingand 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 affordablewearable 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

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All books in our catalog are Original.
The book is written in English.
The binding of this edition is Paperback.

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