PPG-FusionNet: A Dual-Branch Neural Architecture for Cuffless Blood Pressure Estimation from Photoplethysmography
Eduardo Martínez-Duque, Genaro Daza-Santacoloma, David Cárdenas-Peña (Technological University of Pereira)
Summary
Shared patch embedding feeds a local dilated-conv encoder and a global AutoCorrelation encoder, fused by cross-attention, with a constrained dual-head SBP/DBP loss. Bayesian hyperparameter search and ablations on PulseDB. SBP/DBP MAE 7.46 / 4.72 mmHg, near-zero mean error; AAMI-compliant and BHS grade B for DBP only.
Key facts
- Form Factor
- clinical_finger
- License
- Not stated
Reported benchmarks
Cuffless blood pressure
PulseDB v2.0 · MAE (mmHg) ↓
PPG-only; PulseDB subset (CalBased/CalFree) not stated in abstract
Updated: Oct 11, 2026
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