Jingzhen Li

Orcid: 0000-0003-2807-424X

According to our database1, Jingzhen Li authored at least 24 papers between 2015 and 2023.

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

Timeline

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Links

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Bibliography

2023
Inspection of EEG Signals for Noninvasive Blood Glucose Monitoring in Prediabetes Diagnosis.
Proceedings of the IEEE International Symposium on Medical Measurements and Applications, 2023

Automatic Chinese Food recognition based on a stacking fusion model.
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

Multi-parameter Blood Glucose Prediction Algorithm for Type 1 Diabetes Based on Hybrid Neural Network Deep Learning Technique.
Proceedings of the 9th IEEE International Conference on Cloud Computing and Intelligent Systems, 2023

2022
Young's Double Slit Method-Based Higher Order Mode Surface Plasmon Microwave Antenna Sensor: Modeling, Measurements, and Application.
IEEE Trans. Instrum. Meas., 2022

An absolute magnitude deviation of HRV for the prediction of prediabetes with combined artificial neural network and regression tree methods.
Artif. Intell. Rev., 2022

2021
Non-invasive Monitoring of Three Glucose Ranges Based On ECG By Using DBSCAN-CNN.
IEEE J. Biomed. Health Informatics, 2021

Surface Plasmonic Feature Microwave Sensor With Highly Confined Fields for Aqueous-Glucose and Blood-Glucose Measurements.
IEEE Trans. Instrum. Meas., 2021

A Novel Method of Using Bifilar Spiral Resonator for Designing Thin Robust Flexible Glucose Sensors.
IEEE Trans. Instrum. Meas., 2021

Towards noninvasive and fast detection of Glycated hemoglobin levels based on ECG using convolutional neural networks with multisegments fusion and Varied-weight.
Expert Syst. Appl., 2021

Comprehensive characterization of alternative splicing in renal cell carcinoma.
Briefings Bioinform., 2021

2020
Towards adequate prediction of prediabetes using spatiotemporal ECG and EEG feature analysis and weight-based multi-model approach.
Knowl. Based Syst., 2020

2019
Statistical and spectral analysis of ECG signal towards achieving non-invasive blood glucose monitoring.
BMC Medical Informatics Decis. Mak., 2019

Research on autocorrelation and cross-correlation analyses in vehicular nodes positioning.
Int. J. Distributed Sens. Networks, 2019

An Approach for Biometric Verification Based on Human Body Communication using Convolutional Neural Network.
Proceedings of the 9th IEEE International Conference on Consumer Electronics, 2019

Analysis of ECG Segments for Non-Invasive Blood Glucose Monitoring.
Proceedings of the 2019 IEEE International Conference on E-health Networking, 2019

2018
An Approach for Noninvasive Blood Glucose Monitoring Based on Bioimpedance Difference Considering Blood Volume Pulsation.
IEEE Access, 2018

Improved Vehicle Ranging Method for the IEEE 802.11p.
Proceedings of the 2018 International Conference on Identification, 2018

Investigation on Dielectric Properties of Glucose Aqueous Solutions at 500 KHz-5MHz for Noninvasive Blood Glucose Monitoring.
Proceedings of the 20th IEEE International Conference on e-Health Networking, 2018

2017
Evaluation of Propagation Characteristics Using the Human Body as an Antenna.
Sensors, 2017

An Approach to Biometric Verification Based on Human Body Communication in Wearable Devices.
Sensors, 2017

Modeling and characterization of different channels based on human body communication.
Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017

2016
Propagation Characteristics of Human Body Communication in Brain-Controlled Functional Electrical Stimulation.
EAI Endorsed Trans. Wirel. Spectr., 2016

Characterization and analysis of dynamic implant communication channels based on inhomogeneous model.
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016

2015
Wearable biometric authentication based on human body communication.
Proceedings of the 12th IEEE International Conference on Wearable and Implantable Body Sensor Networks, 2015


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