Paperdoi:10.1109/ICBASE70763.2026.11619376
DeltaMamba: Pretrained Differential Mamba for Cuffless Blood Pressure Estimation From Photoplethysmography (PPG)
ICBASE 2026 (IEEE), DOI 10.1109/ICBASE70763.2026.11619376
TL;DR
Adapts a pretrained optical-physiological encoder, subtracts a subject baseline embedding to form differential features, then a Mamba selective-SSM regressor estimates SBP/DBP. On MIMIC-BP: tighter error distribution than a feature-based differential baseline and cheaper than alternative temporal backbones.
- Form factor: clinical_finger
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APA
Zhang, Z.-J., Wu, X., & Zhang, H. (2026). DeltaMamba: Pretrained Differential Mamba for Cuffless Blood Pressure Estimation From Photoplethysmography (PPG). ICBASE 2026 , DOI 10.1109/ICBASE70763.2026.11619376. https://doi.org/10.1109/ICBASE70763.2026.11619376
BibTeX
@article{zhang2026deltamamba,
title = {{DeltaMamba: Pretrained Differential Mamba for Cuffless Blood Pressure Estimation From Photoplethysmography (PPG)}},
author = {Zhang, Zi-Jing and Wu, Xiaotong and Zhang, Haonan},
year = {2026},
journal = {ICBASE 2026 , DOI 10.1109/ICBASE70763.2026.11619376},
doi = {10.1109/ICBASE70763.2026.11619376}
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