Lei Feng

Affiliations:
  • Capital Medical University, Mood Disorders Center, Beijing, China
  • China Clinical Research Center for Mental Disorders, Beijing, China


According to our database1, Lei Feng authored at least 14 papers between 2013 and 2023.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
Depression recognition base on acoustic speech model of Multi-task emotional stimulus.
Biomed. Signal Process. Control., August, 2023

2021
Identification of Depression Subtypes Based on EEG and Machine Learning.
Proceedings of the WI-IAT '21: IEEE/WIC/ACM International Conference on Web Intelligence, Hybrid Event / Melbourne, VIC, Australia, December 14 - 17, 2021, 2021

2020
Method of Depression Classification Based on Behavioral and Physiological Signals of Eye Movement.
Complex., 2020

2019
Depression Detection from Electroencephalogram Signals Induced by Affective Auditory Stimuli.
Proceedings of the 8th International Conference on Affective Computing and Intelligent Interaction, 2019

2018
A Pervasive Approach to EEG-Based Depression Detection.
Complex., 2018

Resting EEG Features and Their Application in Depressive Disorders.
Proceedings of the 2018 IEEE/WIC/ACM International Conference on Web Intelligence, 2018

2017
Subject-independent emotion recognition based on physiological signals: a three-stage decision method.
BMC Medical Informatics Decis. Mak., 2017

A Resting-State Brain Functional Network Study in MDD Based on Minimum Spanning Tree Analysis and the Hierarchical Clustering.
Complex., 2017

Normalized mutual information feature selection for electroencephalogram data based on grassberger entropy estimator.
Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017

Eye movement pattern and mental retardation in depression.
Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017

Speech pause time: A potential biomarker for depression detection.
Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017

2016
Alterations in Emotional and Salience Responses to Positive Stimuli in Major Depressive Disorder.
Proceedings of the Brain Informatics and Health - International Conference, 2016

2015
Morphologic and Functional Connectivity Alterations in Patients with Major Depressive Disorder.
Proceedings of the Brain Informatics and Health - 8th International Conference, 2015

2013
The Change of Resting EEG in Depressive Disorders.
Proceedings of the Brain and Health Informatics - International Conference, 2013


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