Figure 1
A diagram comparing two neural network architectures, open parenthesis M L P close parenthesis and open parenthesis T D N N close parenthesis.

The MLP-based and TDNN-based models were trained for AF recognition. (The output layer of example covers a total temporal context of 9 frames).

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