On-line anxiety level detection from biosignals: Machine learning based on a randomized controlled trial with spider-fearful individuals - Ihmig, Frank R.; H., Antonio Gogeascoechea; Neurohr-Parakenings, Frank; Schäfer, Sarah K.; Lass-Hennemann, Johanna; Michael, Tanja (PloS one, 2020)
Keywords: Accuracy; Algorithms; Anxieties; Anxiety; Augmented reality; Biofeedback; Biology and Life Sciences; Classification; Clinical psychology; Clinical trials; Closed loop systems; Computer and Information Sciences; Datasets; Diagnosis; EKG; Electrocardiography; Emotions; Engineering and Technology; Fear & phobias; Feasibility studies; Health aspects; Heart rate; Labeling; Labelling; Learning algorithms; Machine learning; Mathematical models; Medicine and Health Sciences; Physical Sciences; Physiology; Psychological aspects; Psychotherapy; R&D; Randomization; Ratings; Research & development; Research and Analysis Methods; Respiration; Skin; Social Sciences; Stress; Windows (intervals); Germany