On-line anxiety level detection from biosignals: Machine learning based on a randomized controlled trial with spider-fearful individuals
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DOI: 10.1371/journal.pone.0231517
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Cited by:
- Karen L. Blackmore & Shamus P. Smith & Jacqueline D. Bailey & Benjamin Krynski, 2024. "Integrating Biofeedback and Artificial Intelligence into eXtended Reality Training Scenarios: A Systematic Literature Review," Simulation & Gaming, , vol. 55(3), pages 445-478, June.
- Templos-Hernández, Diana J. & Quezada-Téllez, Luis A. & González-Hernández, Brian M. & Rojas-Vite, Gerardo & Pineda-Sánchez, José E. & Fernández-Anaya, Guillermo & Rodriguez-Torres, Erika E., 2021. "A fractional-order approach to cardiac rhythm analysis," Chaos, Solitons & Fractals, Elsevier, vol. 147(C).
- Mohamed Elgendi & Valeria Galli & Chakaveh Ahmadizadeh & Carlo Menon, 2022. "Dataset of Psychological Scales and Physiological Signals Collected for Anxiety Assessment Using a Portable Device," Data, MDPI, vol. 7(9), pages 1-12, September.
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