A GNN plus anchor-interval framework detects abnormal respiratory sound events, reaching F1 of 22.3 percent on SPRSound, with anchor scales tuned to the observed event durations.
Contrastive embeddind learning method for respiratory sound classification,
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EZhouNet:A framework based on graph neural network and anchor interval for the respiratory sound event detection
A GNN plus anchor-interval framework detects abnormal respiratory sound events, reaching F1 of 22.3 percent on SPRSound, with anchor scales tuned to the observed event durations.