BPNet: A multi-modal fusion neural network for blood pressure estimation using ECG and PPG

Author:

Long Weicai,Wang Xingjun

Publisher

Elsevier BV

Subject

Health Informatics,Signal Processing,Biomedical Engineering

Reference48 articles.

1. World health statistics 2022: monitoring health for the SDGs, sustainable development goals. Geneva: World Health Organization; 2022. Licence: CC BY-NC-SA 3.0 IGO.

2. Status of ambulatory blood pressure monitoring and home blood pressure monitoring for the diagnosis and management of hypertension in the US: an up-to-date review;Cepeda;Hypertens. Res.,2023

3. BP-Net: Efficient Deep Learning for Continuous Arterial Blood Pressure Estimation using Photoplethysmogram;Vardhan,2021

4. N. Ibtehaz, S. Mahmud, M.E.H. Chowdhury, et al. Ppg2abp: Translating photoplethysmogram (ppg) signals to arterial blood pressure (abp) waveforms using fully convolutional neural networks. arXiv preprint arXiv:2005.01669, 2020.

5. Blood pressure estimation from photoplethysmogram using a spectro-temporal deep neural network;Slapničar;Sensors,2019

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