Toward Automatic Anxiety Detection in Autism: A Real-Time Algorithm for Detecting Physiological Arousal in the Presence of Motion

Conclusion: The proposed method is able to reduce false detections due to user motion and effectively detect arousal states during movement periods. Significance: The results add to the growing evidence supporting the feasibility of wearable technologies for anxiety detection and management in naturalistic settings.
Source: IEEE Transactions on Biomedical Engineering - Category: Biomedical Engineering Source Type: research