An Artificial Intelligence-Based Approach for Automated Classification of Obstructive Sleep Apnea by Considering Multi-modal Feature Fusion Technique

Pratyasha, Prateek; Gupta, Saurabh; Simegn, Gizeaddis Lamesgin

doi:10.1007/s41782-023-00248-1

Sleep Vigilance

2023

DOI: 10.1007/s41782-023-00248-1

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An Artificial Intelligence-Based Approach for Automated Classification of Obstructive Sleep Apnea by Considering Multi-modal Feature Fusion Technique

Prateek Pratyasha,

Saurabh Gupta,

Gizeaddis Lamesgin Simegn

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2024

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Obstructive Sleep Apnea Detection from EEG Data: A Hybrid Approach of One-Dimensional Convolutional Neural Network and Enhanced Fuzzy C-Means Clustering Algorithm

Pratyasha,

Gupta

2024

Sleep Vigilance

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Obstructive Sleep Apnea Detection from EEG Data: A Hybrid Approach of One-Dimensional Convolutional Neural Network and Enhanced Fuzzy C-Means Clustering Algorithm

Pratyasha,

Gupta

2024

Sleep Vigilance

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An Artificial Intelligence-Based Approach for Automated Classification of Obstructive Sleep Apnea by Considering Multi-modal Feature Fusion Technique

Cited by 1 publication

References 36 publications

Obstructive Sleep Apnea Detection from EEG Data: A Hybrid Approach of One-Dimensional Convolutional Neural Network and Enhanced Fuzzy C-Means Clustering Algorithm

Obstructive Sleep Apnea Detection from EEG Data: A Hybrid Approach of One-Dimensional Convolutional Neural Network and Enhanced Fuzzy C-Means Clustering Algorithm

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