Fig. 1From: Attention-based multi-scale features fusion for unobtrusive atrial fibrillation detection using ballistocardiogram signalModular framework of the proposed method for AF detection by means of BCG signal. First, the AF and NAF signals were split into the 1-s-segment dataset and the 24-s-segment dataset, respectively. Second, the 1-D morphology feature extracted from Bi-LSTM and the 2-D rhythms feature extracted from PSR were integrated by CNN. Ultimately, the attention mechanism was involved to improve the performance of the AF classificationBack to article page