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A novel multi-kernel 1D convolutional neural network for stress recognition from ECG

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References

2019Review on Psychological Stress Detection Using Biosignals763 cited
2009Discriminating Stress From Cognitive Load Using a Wearable EDA Device742 cited
2013Stress Recognition Using Wearable Sensors and Mobile Phones523 cited
2006Bi-modal emotion recognition from expressive face and body gestures383 cited
2016Stress and anxiety detection using facial cues from videos343 cited
2018Deep ECGNet: An Optimal Deep Learning Framework for Monitoring Mental Stress Using Ultra Short-Term ECG Signals134 cited
2016COGCAM113 cited
2016Multimodal Stress Detection from Multiple Assessments99 cited
2015Detection of stress/anxiety state from EEG features during video watching81 cited
2019Modeling Mental Stress Using a Deep Learning Framework72 cited

Cited by

2021Real-Time Stress Level Feedback from Raw Ecg Signals for Personalised, Context-Aware Applications Using Lightweight Convolutional Neural Network Architectures36 cited
2021Recognition of Blinks Activity Patterns during Stress Conditions Using CNN and Markovian Analysis34 cited

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