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A novel technique for stress detection from EEG signal using hybrid deep learning model · Study

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ArticleA novel technique for stress detection from EEG signal using hybrid deep learning model

Lokesh Malviya2022

Article2022

A novel technique for stress detection from EEG signal using hybrid deep learning model

Lokesh Malviya · Sandip Mal

70 citations·0/0 files stored·Neural Computing and Applications

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Emotion and Mood Recognition EEG and Brain-Computer Interfaces ECG Monitoring and Analysis

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References

2019Continuous Stress Detection Using Wearable Sensors in Real Life: Algorithmic Programming Contest Case Study 2017Machine Learning Framework for the Detection of Mental Stress at Multiple Levels 2019SAE+LSTM: A New Framework for Emotion Recognition From Multi-Channel EEG 2019Human stress classification using EEG signals in response to music tracks 2021Driver stress detection via multimodal fusion using attention-based CNN-LSTM 2019A Review on Nonlinear Methods Using Electroencephalographic Recordings for Emotion Recognition 2020EEG Based Classification of Long-Term Stress Using Psychological Labeling

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2023Hybrid Deep Learning Approach for Stress Detection Using Decomposed EEG Signals 2024A review on evaluating mental stress by deep learning using EEG signals

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Year2022

Typearticle

Published2022-07-06

VenueNeural Computing and Applications

ISSN-L0941-0643

Languageen

Citations70

Files0 public / 0

ShelfEmotion and Mood Recognition

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doi10.1007/s00521-022-07540-7

openalex_workW4286631276

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