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Daomiao Wang
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2020 – today
- 2025
- [j8]Qihan Hu
, Daomiao Wang
Efficient multi-view fusion and flexible adaptation to view missing in cardiovascular system signals. Neural Networks 181: 106760 (2025) - 2024
- [j7]Daomiao Wang
PM2ECGCN: Parallelized spatial-temporal structures of multi-lead ECG with graph convolution network for multi-center cardiac disease diagnosis. Expert Syst. Appl. 250: 123869 (2024) - [j6]Shiwei Zhu
Application and Improvement of MFCC in Gesture Recognition with Surface Electromyography. Int. J. Humanoid Robotics 21(4): 2350017:1-2350017:22 (2024) - [j5]Jian Liu
A Lightweight Hybrid Model Using Multiscale Markov Transition Field for Real-Time Quality Assessment of Photoplethysmography Signals. IEEE J. Biomed. Health Informatics 28(2): 1078-1088 (2024) - [i1]Qihan Hu, Daomiao Wang, Hong Wu, Jian Liu, Cuiwei Yang:
Efficient Multi-View Fusion and Flexible Adaptation to View Missing in Cardiovascular System Signals. CoRR abs/2406.08930 (2024) - 2023
- [j4]Jian Liu
A novel interpretable feature set optimization method in blood pressure estimation using photoplethysmography signals. Biomed. Signal Process. Control. 86(Part B): 105184 (2023) - [j3]Qihan Hu
Multi-Instance Learning Using Transformer for Obscured Weak Label Problem in PPG-Based Blood Pressure Estimation. IEEE Trans. Instrum. Meas. 72: 1-15 (2023) - [c1]Daomiao Wang
Diffusion Model with Self-supervised Training for Subject-aware Photoplethysmography Recovery. BioCAS 2023: 1-5 - 2022
- [j2]Qihan Hu, Daomiao Wang
PPG-based blood pressure estimation can benefit from scalable multi-scale fusion neural networks and multi-task learning. Biomed. Signal Process. Control. 78: 103891 (2022) - [j1]Daomiao Wang
Biometric recognition based on scalable end-to-end convolutional neural network using photoplethysmography: A comparative study. Comput. Biol. Medicine 147: 105654 (2022)
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