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Carte Deep Learning for ECG Synthesis Brian M. Hartz

Deep Learning for ECG Synthesis

Autor: Brian M. Hartz
Limbă: engleză
Legare: Carte broșată
Editura: khan publishers
Disponibilitate: În depozitul extern
Expediem în 14-21 zile
116.76 lei
One of the major causes of death is cardiovascular diseases. In 2019, it reached 32% of all deaths w...

Informații despre carte

Autor
Brian M. Hartz
Limbă
engleză
Legare
Carte - Carte broșată
Publicat
2023
Pagini
152
EAN
9783623533476
ISBN
3623533475
Enbook ID
44564720
Editura
khan publishers
Greutate
231
Dimensiuni
152 x 229 x 8

Descriere completă

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

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