Hao Zhang
Orcid: 0000-0003-4072-0531Affiliations:
- Chinese Academy of Sciences, Aerospace Information Research Institute, Beijing, China
- University of Chinese Academy of Sciences, School of Electronic, Electrical and Communication Engineering, Beijing, China
According to our database1,
Hao Zhang
authored at least 14 papers
between 2022 and 2025.
Collaborative distances:
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Bibliography
2025
Biomed. Signal Process. Control., 2025
Non-contact blood pressure estimation using FMCW radar: A two-stream approach focused on central arterial activity.
Biomed. Signal Process. Control., 2025
2024
IEEE Internet Things J., February, 2024
Design and implementation of a silent speech recognition system based on sEMG signals: A neural network approach.
Biomed. Signal Process. Control., 2024
2023
mmSignature: Semi-supervised human identification system based on millimeter wave radar.
Eng. Appl. Artif. Intell., November, 2023
Biomed. Signal Process. Control., September, 2023
An ERP-based cognitive disorders detection method using a multi-scale dilated convolutional neural network (MSDCNN).
Proceedings of the 10th International Conference on Biomedical and Bioinformatics Engineering, 2023
Predicting Neurological Recovery After Cardiac Arrest from Electroencephalogram Using Residual Network and Random Forest.
Proceedings of the Computing in Cardiology, 2023
Proceedings of the 19th IEEE International Conference on Body Sensor Networks, 2023
Evaluation of Carotid Artery Blood Pressure Waveform Using a Wearable Ultrasound Patch.
Proceedings of the 19th IEEE International Conference on Body Sensor Networks, 2023
Non-Contact Cardio-Pulmonary Resuscitation Compression Action Quality Monitoring Based on Depth Camera.
Proceedings of the 19th IEEE International Conference on Body Sensor Networks, 2023
2022
Fall Detection System Using Millimeter-Wave Radar Based on Neural Network and Information Fusion.
IEEE Internet Things J., 2022
Biomed. Signal Process. Control., 2022
Heart Murmur Detection from Phonocardiogram Based on Residual Neural Network with Classes Distinguished Focal Loss.
Proceedings of the Computing in Cardiology, 2022