Elimination of Random Mixed Noise in ECG Using Convolutional Denoising Autoencoder With Transformer Encoder

Electrocardiogram (ECG) signals frequently encounter diverse types of noise, such as baseline wander (BW), electrode motion (EM) artifacts, muscle artifact (MA), and others. These noises often occur in combination during the actual data acquisition process, resulting in erroneous or perplexing inter...

Celý popis

Uložené v:

Podrobná bibliografia
Vydané v:	IEEE journal of biomedical and health informatics Ročník 28; číslo 4; s. 1993 - 2004
Hlavní autori:	Chen, Meng, Li, Yongjian, Zhang, Liting, Liu, Lei, Han, Baokun, Shi, Wenzhuo, Wei, Shoushui
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	United States IEEE 01.04.2024 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	Adaptive filters Algorithms Cardiac stress tests Coders Convolution Corruption Data acquisition Data processing Denoising autoencoder Distortion ECG denoising EKG Electrocardiography Electrocardiography - methods Exercise Test Feature extraction Humans Logic gates multi-head self-attention Noise Noise reduction point-wise convolution random mixed noise Signal Processing, Computer-Assisted Signal-To-Noise Ratio Training transformer encoder Transformers Wiener filters
ISSN:	2168-2194, 2168-2208, 2168-2208
On-line prístup:	Získať plný text
Tagy:	Pridať tag Žiadne tagy, Buďte prvý, kto otaguje tento záznam!

Buďte prvý, kto okomentuje tento záznam!