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Machine Learning for Anxiety Detection Using Biosignals: A Review

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References

2005Prevalence, Severity, and Comorbidity of 12-Month DSM-IV Disorders in the National Comorbidity Survey Replication12,050 cited
2019Review on Psychological Stress Detection Using Biosignals763 cited
2016Stress Detection Using Wearable Physiological and Sociometric Sensors209 cited
2014Cluster-Based Analysis for Personalized Stress Evaluation Using Physiological Signals165 cited
2017Psychological stress level detection based on electrodermal activity147 cited
2020Review of EEG, ERP, and Brain Connectivity Estimators as Predictive Biomarkers of Social Anxiety Disorder108 cited
2020Towards an anxiety and stress recognition system for academic environments based on physiological features96 cited
2020On-line anxiety level detection from biosignals: Machine learning based on a randomized controlled trial with spider-fearful individuals84 cited

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2024Wearable neurofeedback acceptance model for students’ stress and anxiety management in academic settings12 cited

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