Könyv Deep Learning for ECG Synthesis Brian M. Hartz

Deep Learning for ECG Synthesis

Szerző: Brian M. Hartz
Nyelv: Angol
Kötés: Puha kötésű
Kiadó: khan publishers
Elérhetőség: Beszállítói készleten
Küldés 14-21 napon belül
8 156 Ft
One of the major causes of death is cardiovascular diseases. In 2019, it reached 32% of all deaths w...

Információk a könyvről

Szerző
Nyelv
Angol
Kötés
Könyv - Puha kötésű
Kiadva
2023
oldal
152
EAN
9783623533476
ISBN
3623533475
Enbook ID
44564720
Súly
231
Méretek
152 x 229 x 8

Teljes leírás

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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