Number of samples in training set for each heartbeat type before and after data augmentation.

Number of samples in training set for each heartbeat type before and after data augmentation.

<p>Number of samples in training set for each heartbeat type before and after data augmentation.</p>

محفوظ في:
التفاصيل البيبلوغرافية
المؤلف الرئيسي: Bin Zheng (45359) (author)
مؤلفون آخرون: Wenbo Luo (579913) (author), Mingming Zhang (362844) (author), Huiyuan Jin (14490398) (author)
منشور في: 2025
الموضوعات:
Biotechnology
Infectious Diseases
Space Science
Biological Sciences not elsewhere classified
Information Systems not elsewhere classified
xlink "> arrhythmia
two temporal resolutions
sph arrhythmia databases
model &# 8217
maintain spatial integrity
interpretable arrhythmia classification
frequency representations derived
feature representation limitations
ecg signals segmented
arrhythmia classification based
84 %, respectively
time fourier transform
prioritize critical features
prevalent cardiac disorder
model integrates multi
scale time
resolution features
cardiac arrest
wise summation
unimodal inputs
signal variability
severe complications
results highlight
previous methods
long segments
f1 scores
deep learning
data imbalance
channel dependencies
challenges remain
attention mechanism
art approaches
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