Ventricular arrhythmias classification based on deep learning algorithm
Cardiac arrhythmia is a group of conditions in which the heartbeat is irregular, where it can be too fast or too slow. This happens when electrical impulses that coordinate the heartbeat fail to work in a correct manner. Some of these diseases show no symptoms, but ECG (electrocardiogram) can help t...
Saved in:
Main Author: | Chai, Adrian Kah Seng |
---|---|
Format: | Thesis |
Language: | English |
Published: |
2020
|
Subjects: | |
Online Access: | http://eprints.utm.my/id/eprint/93101/1/ChaiKahSengMSKE2020.pdf |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Object classification using deep learning
by: Fong, Soon Fei
Published: (2015) -
An optimization method based on genetic algorithm for heart rate variability analysis in the prediction of the onset of cardiac arrhythmia
by: Boon, Khang Hua
Published: (2017) -
Plant disease severity classification using deep learning
by: Lee, San Kong
Published: (2020) -
Characterization of ventricular tachycardia and ventricular fibrillation using semantic mining
by: Mohammed Sheet, Sinan S.
Published: (2011) -
Autonomous interpreting peripheral blood film based on deep learning algorithm
by: Salehuddin, Nur Anisah
Published: (2020)