[1] W. Wang, K. L. Kilgore, P. Mohseni and L. Najafizadeh, “Detecting Rises in SBP from PPG for Identifying Autonomic Dysreflexia,” IEEE Biomedical Circuits and Systems Conference (BioCAS), 2023. [paper]
[2] W. Wang, P. Mohseni, K. L. Kilgore and L. Najafizadeh, “Demographic Information Fusion Using Attentive Pooling In CNN-GRU Model For Systolic Blood Pressure Estimation,” 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 2023. [paper]
[3] W. Wang, P. Mohseni, K. L. Kilgore and L. Najafizadeh, “PulseDB: A large, cleaned dataset based on MIMIC-III and VitalDB for benchmarking cuff-less blood pressure estimation methods,” Frontiers in Digital Health, vol. 4, 2023. [paper] [GitHub] [Kaggle]
[4] W. Wang and L. Najafizadeh, “Imaging physiological signals,” 56th Asilomar Conference on Signals, Systems, and Computers, 2022, pp. 465-469. (invited) [paper]
[5] W. Wang, P. Mohseni, K. L. Kilgore and L. Najafizadeh, “Cuff-less blood pressure estimation from photoplethysmography via visibility graph and transfer learning,” IEEE Journal of Biomedical and Health Informatics, vol. 26, no. 5, pp. 2075-2085, 2022. (featured article of the issue) [paper]
[6] W. Wang, F. Marefat, P. Mohseni, K. Kilgore and L. Najafizadeh, “The effects of filtering PPG signal on pulse arrival time-systolic blood pressure correlation,” 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 2022, pp. 674-677. [paper]
[7] W. Wang, C. A. Delianides, D. B. Green, P. Mohseni, K. L. Kilgore, and L. Najafizadeh, “Systolic blood pressure estimation via photoplethysmography features-an animal study,” Optical Tomography and Spectroscopy, 2022, p. JM3A. 6. [paper]
[8] W. Wang, P. Mohseni, K. Kilgore, and L. Najafizadeh, “Cuff-less blood pressure estimation via small convolutional neural networks,” 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 2021, pp. 1031-1034. [paper]
[9] W. Wang, P. Mohseni, K. Kilgore, and L. Najafizadeh, “PulseLab: An integrated and expandable toolbox for pulse wave velocity-based blood pressure estimation,” 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 2021, pp. 5654-5657. [paper] [GitHub] [tutorial]
[10] W. Wang, L. Zhu, F. Marefat, P. Mohseni, K. Kilgore, and L. Najafizadeh, “Photoplethysmography-based blood pressure estimation using deep learning,” 54th Asilomar Conference on Signals, Systems, and Computers, 2020, pp. 945-949. [paper]