Deep learning framework for accurate blood pressure (BP) estimation from PPG signals. Features include signal selection & enhancement, dual-path temporal/image-based feature extraction, M-SCAN attention, MSFN fusion, and D-QuEST loss with domain knowledge integration. Extensive diversity analysis ensures robustness of the work.
blood-pressure mtf scalogram domain-knowledge-integration ppg-signal cnn-xlstm-xatt multi-stream-cross-attention multi-stream-fusion-network d-quest signal-and-image-features ppg-image
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Updated
Nov 19, 2025 - Python