Multi-Stage BiSTU Network Combining BiLSTM and Transformer for ABP Waveform Prediction from PPG Signals.

Journal: Annals of biomedical engineering
Published Date: Jul 7, 2025

Abstract

PURPOSE: Cardiovascular disease (CVD) remains a global health issue, and arterial blood pressure (ABP) waveforms provide critical physiological data that aid in the early diagnosis of CVD. However, existing pulse waveform evaluation methods are insufficient for accurately predicting ABP. This study aims to propose a novel U-net joint network architecture, the BiSTU Sequential Network, to predict high-quality ABP waveforms.

Authors

  • Zheng Duanmu
    School of Instrument Science and Opto-Electronics Engineering, Beijing Information Science and Technology University, Beijing, 100192, Beijing, China.
  • Haojie Gong
    School of Instrument Science and Opto-Electronics Engineering, Beijing Information Science and Technology University, Beijing, 100192, Beijing, China.
  • Siyuan Lv
    State Key Laboratory of Integrated Optoelectronics, Key Laboratory of Advanced Gas Sensors, Jilin Province, College of Electronic Science and Engineering, Jilin University, 2699 Qianjin Street, Changchun 130012, China.
  • Wenyue Yan
    Department of General Practice, The Fourth Affiliated Hospital of Nanjing Medical University, Nanjing, 210031, Jiangsu, China.
  • Qianxi Cheng
    School of Instrument Science and Opto-Electronics Engineering, Beijing Information Science and Technology University, Beijing, 100192, Beijing, China.
  • Jinqiu Sang
    Shanghai Institute of AI for Education, East China Normal University, Shanghai, 10587, Shanghai, China.
  • Xilan Yang
    Department of General Practice, The Fourth Affiliated Hospital of Nanjing Medical University, Nanjing, 210031, Jiangsu, China. xilanyang@njmu.edu.cn.
  • Louqian Zhang
    Department of Thoracic Surgery, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, 210009, Jiangsu, China. zhanglouqian@njmu.edu.cn.

Keywords

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