Laishuan Wang

Orcid: 0000-0003-0527-8186

According to our database1, Laishuan Wang authored at least 19 papers between 2017 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Multidomain Selective Feature Fusion and Stacking Based Ensemble Framework for EEG-Based Neonatal Sleep Stratification.
IEEE J. Biomed. Health Informatics, April, 2026

MABNSleepNet: A multi-view self-attention architecture based on brain network for neonatal sleep staging.
Biomed. Signal Process. Control., 2026

2025
A Novel NICU Sleep State Stratification: Multiperspective Features, Adaptive Feature Selection and Ensemble Model.
IEEE Trans. Biomed. Eng., September, 2025

Smart IoT-Based Solutions for Neonatal Sleep Stratification: Single-Dual Channel EEG, AdaptiSelect, Multiview Fusion, and Rotational Ensemble Stacking.
IEEE Internet Things J., 2025

EEG electrode setup optimization using feature extraction techniques for neonatal sleep state classification.
Frontiers Comput. Neurosci., 2025

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

MAGSleepNet: Adaptively multi-scale temporal focused sleep staging model for multi-age groups.
Expert Syst. Appl., 2024

Single-Channel EEG Data Analysis Using a Multi-Branch CNN for Neonatal Sleep Staging.
IEEE Access, 2024

An Ensemble Voting Approach With Innovative Multi-Domain Feature Fusion for Neonatal Sleep Stratification.
IEEE Access, 2024

A Hybrid Neonatal Sleep Staging Method based on Convolutional Neural Networks and Graph Neural Networks.
Proceedings of the 14th International Conference on Biomedical Engineering and Technology, 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

Non-Contact Heart Rate Monitoring in Neonatal Intensive Care Unit using RGB Camera.
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
A wearable sensor system for neonatal seizure monitoring.
Proceedings of the 14th IEEE International Conference on Wearable and Implantable Body Sensor Networks, 2017


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