Laishuan Wang
Orcid: 0000-0002-4126-0701
According to our database1,
Laishuan Wang
authored at least 11 papers
between 2017 and 2024.
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Bibliography
2024
A Sequential End-to-End Neonatal Sleep Staging Model with Squeeze and Excitation Blocks and Sequential Multi-Scale Convolution Neural Networks.
Int. J. Neural Syst., March, 2024
An Ensemble Voting Approach With Innovative Multi-Domain Feature Fusion for Neonatal Sleep Stratification.
IEEE Access, 2024
2021
A Hybrid DCNN-SVM Model for Classifying Neonatal Sleep and Wake States Based on Facial Expressions in Video.
IEEE J. Biomed. Health Informatics, 2021
A digitized approach for amplitude-integrated electroencephalogram transformation towards a standardized procedure.
Biomed. Signal Process. Control., 2021
2020
Design of an Integrated Wearable Multi-Sensor Platform Based on Flexible Materials for Neonatal Monitoring.
IEEE Access, 2020
Novel Framework: Face Feature Selection Algorithm for Neonatal Facial and Related Attributes Recognition.
IEEE Access, 2020
EEG-Based Neonatal Sleep-Wake Classification Using Multilayer Perceptron Neural Network.
IEEE Access, 2020
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020
2019
An Investigation into Audio Features and DTW Algorithms for Infant Cry Classification.
Proceedings of the ICBBE '19: 2019 6th International Conference on Biomedical and Bioinformatics Engineering, 2019
Evaluation of the Effects of Mozart Music on Cerebral Hemodynamics in Preterm Infants.
Proceedings of the 2019 IEEE Biomedical Circuits and Systems Conference, 2019
2017
Proceedings of the 14th IEEE International Conference on Wearable and Implantable Body Sensor Networks, 2017