A new, short-recorded photoplethysmogram dataset for blood pressure monitoring in China

Liang, Yongbo, Chen, Zhencheng, Liu, Guiyong, Elgendi, Mohamed·2018·Scientific Data

Cited by (214)

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  6. Unsupervised diffusion framework for hypertension detection from photoplethysmography
    Myung-Kyu Yi, Jongshill Lee, Jeyeon Lee, In Young Kim · 2026 · Biomedical Signal Processing and Control
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    Priya Sardar, Jayanta Kumar Chandra, Rajarshi Gupta, Arunansu Talukdar · 2026 · IEEE Sensors Journal
  9. CBPE: Causal-aware Blood Pressure Estimation with Multimodal Data
    Hoyoon Byun, Seong-Jin Park, Jinho Kang, Hyeonjeong Lee, Minseong Kim, Doosik Kim, Kyu Hyung Kim, Kyungwoo Song · 2026 · ACM Symposium on Applied Computing
  10. Interpretable Two-Stage PPG Framework for Cerebrovascular Risk Assesment via Intermediate Blood Pressure Modeling
    Hossein Esmaeili, Hossein Marvi, Али Кермани · 2025 · International Conference on Signal Processing and Intelligent Systems (ICSPIS)
  11. A Silicon-Based Photodiode for Integrated Sensing-and-Computing Second-Order Derivative Operations
    Kexun He, Mengyao Xiong, Yuehua Chen, Yuhui He · 2026 · IEEE Sensors Journal
  12. Adaptive digital filtering and TreeSHAP feature selection for non-invasive diabetes classification from photoplethysmography signals
    Swandip Singha, Aditta Chowdhury · 2026 · Discover Artificial Intelligence
  13. Employing machine learning techniques for non-invasive blood pressure classification using photoplethysmography signals
    Hanieh Mohammadi, Bahram Tarvirdizadeh, Khalil Alipour, Mohammad Ghamari · 2026 · Physical and Engineering Sciences in Medicine
  14. Glow in the Dark: User Perceptions of PPG Sampling and the Purkinje Effect in Mesopic Low-Light Environments
    Florian Wolling, Alexander Filipp, Florian Michahelles · 2026 · ACM International Symposium on Wearable Computers (ISWC)