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Fei He

Coventry University

United Kingdom

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Research Interests

Cognitive Neuroscience

30%

Computational Neuroscience

60%

Eeg

60%

Neuroscience

60%

Alzheimer's Disease

40%

Magnetoencephalography

30%

Neuroinformatics

30%

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Positions1

Fei He

University Name

Coventry University

NaN years ago

Computer Science in Health

No summary provided for this position.

NaN years ago

Articles17

Evaluating brain electroencephalogram signal dynamics across cognitive disorders using information geometry

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Year:

2025

Red, Blue or Mix

Article Link

Year:

2024

Information Geometry Theoretic Measures for Characterizing Neural Information Processing from Simulated EEG Signals

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Year:

2024

Graph Neural Network-Based EEG Classification: A Survey

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Year:

2024

Kernel-based Nonlinear Manifold Learning for EEG-based Functional Connectivity Analysis and Channel Selection with Application to Alzheimer’s Disease

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Year:

2023

Cross-Frequency Multilayer Network Analysis with Bispectrum-based Functional Connectivity: A Study of Alzheimer’s Disease

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Year:

2023

Causality Analysis with Information Geometry: A Comparison

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Year:

2023

The role of wrist-worn technology in the management of Parkinson’s disease in daily life

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Year:

2023

PLL-based Enhanced Control of Boost PFC Converter for Smart Farming Lighting Application

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Year:

2023

Imbalanced learning of remotely sensed data for bioenergy source identification in a forest in the Wallacea region of Indonesia

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Year:

2023

Adaptive Gated Graph Convolutional Network for Explainable Diagnosis of Alzheimer’s Disease Using EEG Data

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Year:

2023

Multi-Phase Locking Value: A Generalized Method for Determining Instantaneous Multi-Frequency Phase Coupling.

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Year:

2022

Data-driven dynamical modelling of a pathogen-infected plant gene regulatory network

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Year:

2022

Characterising Alzheimers Disease with EEG-based Energy Landscape Analysis

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Year:

2022

EEG-Based Graph Neural Network Classification of Alzheimer’s Disease: An Empirical Evaluation of Functional Connectivity Methods

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Year:

2022

Mobile computing and communications-driven fog-assisted disaster evacuation techniques for context-aware guidance support: A survey

Article Link

Year:

2021

Nonlinear System Identification of Neural Systems from Neurophysiological Signals

Article Link

Year:

2021

Collaborators9

Mathias Foo

Coventry University

UNITED KINGDOM

Eun-jin Kim

Professor at Coventry University Group

Coventry University

UNITED KINGDOM

Shenal Rajintha A. S. Gunawardena

Coventry University

UNITED KINGDOM

Matteo De Marco

Brunel University London

UNITED KINGDOM

Yuan Yang

Associate Professor

University of Illinois at Urbana-Champaign

UNITED STATES

Ying Wang

University of Twente

NETHERLANDS

daniel blackburn

University of Sheffield

UNITED KINGDOM

Jesper Christensen

Coventry University

UNITED KINGDOM

Laura Catherine Roden

Coventry University

UNITED KINGDOM

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