Wei Li

Affiliations:
  • Fudan University, Center for Intelligent Medical Electronics, School of Information Science and Technology, Shanghai, China


According to our database1, Wei Li authored at least 10 papers between 2017 and 2020.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2020
A Hierarchical Neural Network for Sleep Stage Classification Based on Comprehensive Feature Learning and Multi-Flow Sequence Learning.
IEEE J. Biomed. Health Informatics, 2020

2019
An Unobtrusive and Non-Contact Method for Respiratory Measurement With Respiratory Region Detecting Algorithm Based on Depth Images.
IEEE Access, 2019

A Two-Stage Neural Network for Sleep Stage Classification Based on Feature Learning, Sequence Learning, and Data Augmentation.
IEEE Access, 2019

Novel Active ECG Electrode and Membrane Pressure Sensor-based Unconstrained Cardiorespiratory System for Sleep Monitoring.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

2018
A multichannel reconfigurable EEG acquisition system design with felt-based soft material electrodes.
Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2018

Unobtrusive monitoring of cardiorespiratory signals during sleep based on PVDF sensor and singular spectrum analysis.
Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2018

A Multichannel EEG Acquisition System With Novel Ag NWs/PDMS Flexible Dry Electrodes.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

2017
A Compressed Sensing Based Method for Reducing the Sampling Time of A High Resolution Pressure Sensor Array System.
Sensors, 2017

Motion artifact removal based on periodical property for ECG monitoring with wearable systems.
Pervasive Mob. Comput., 2017

Smart mat system with pressure sensor array for unobtrusive sleep monitoring.
Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017


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