Compact Myocardial Infarction Classification for 3-Lead ECG-Based Temporal Convolution with Encoder-Decoder Network

Myocardial infarction is one of the leading causes of death worldwide, and early detection is crucial for improving patient outcomes. However, while standard 12-lead electrocardiogram are effective for diagnosis, their complexity and extensive electrode setup can limit their practicality in certain...

Celý popis

Podrobná bibliografia

Vydané v:	The ... International Winter Conference on Brain-Computer Interface s. 1 - 6
Hlavní autori:	Kim, Ray, Choi, Insung, Kim, Gyung Chul, Song, Hee Seok, Lee, Minji, Kim, Yun Kwan
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 24.02.2025
Predmet:	3-lead electro-cardiogram signals convolutional neural network Convolutional neural networks Data models Deep learning Electrocardiography myocardial infarction detection Myocardium Performance evaluation Representation learning Sensitivity Wearable devices
ISSN:	2572-7672
On-line prístup:	Získať plný text
Tagy:	Pridať tag Žiadne tagy, Buďte prvý, kto otaguje tento záznam!