Accurate Cuffless Blood Pressure Estimation Using Conformer-Based PPG-to-ABP Waveform Reconstruction Framework
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Single-channel PPG → Conformer → ABP waveform → SBP/DBP. Validated on MIMIC-BP (BHS grade A and AAMI met; numbers not in abstract), then applied to 80 PPG signals from the authors' chest-worn red/IR wearable as preliminary feasibility.
- Venue: IEEE Sensors Letters
- Signals: PPG
- Form factor: other
Abstract
This letter presents a Conformer-based framework for reconstructing arterial blood pressure (ABP) waveforms from photoplethysmography (PPG) signals, enabling cuffless estimation of systolic blood pressure (SBP) and diastolic blood pressure (DBP). The framework takes a single-channel PPG signal as input and uses a Conformer model that integrates convolutional structures with self-attention mechanisms to reconstruct ABP waveform, from which SBP and DBP are derived. The framework was validated using the public MIMIC-BP dataset, the evaluation result meet both the British hypertension society Grade A and the association for the advancement of medical instrumentation standards. We further apply the validated Conformer-based framework to process 80 PPG signals acquired by our self-developed wearable sensing system to estimate BP values. Experimental results demonstrate that the proposed system achieves very high accuracy, providing preliminary feasibility evidence that PPG-to-ABP waveform reconstruction can be applied to chest-acquired wearable red/IR PPG signals for cuffless BP estimation.
Verbatim fromSemantic Scholar· Abstract via Semantic Scholar; © the authors/publisher

How it works
- Wavelengths
- red, IR
Datasets used· 1
Cite
@article{conformerppgtoabpcuffles2026,
title = {{Accurate Cuffless Blood Pressure Estimation Using Conformer-Based PPG-to-ABP Waveform Reconstruction Framework}},
author = {Junle Chen and Xuanyu Qian and Yinglong Zhu and M. Jamal Deen and Wei Jiang (McMaster and HKUST-GZ)},
year = {2026},
journal = {IEEE Sensors Letters},
doi = {10.1109/LSENS.2026.3714451}
}History
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