hrv-alexithymia-expert

HRV analysis measures heart rate variability—the timing between heartbeats—to assess your autonomic nervous system balance and stress levels. This Skill calculates metrics like SDNN, RMSSD, and LF/HF ratio from RR intervals to reveal recovery patterns and detect emotional states linked to anxiety, frustration, or fatigue.

Alexithymia is difficulty identifying and describing emotions. HRV-based interoception training bridges the gap by linking your physiological signals—heart rate patterns, breathing changes—to specific emotional labels, helping you recognize and differentiate emotional states through biofeedback protocols.

Yes. This Skill accepts RR interval data from wearables and applies frequency-domain analysis, baseline detection, and emotional-state interpretation across clinical, coaching, and self-guided settings to generate actionable interoception feedback.

The Skill computes time-domain metrics (SDNN, RMSSD, pNN50) and frequency-domain analysis (LF/HF ratio) using libraries like heartpy, neurokit2, and scipy to assess autonomic balance, distinguish stress from recovery, and detect emotional patterns.

The TAS-20 is a standardized alexithymia measure integrated into this Skill's pipeline. It contextualizes HRV findings with your self-reported difficulty identifying emotions, combining objective biometric data with validated psychometric assessment for comprehensive emotional awareness coaching.

After analyzing your HRV patterns and emotional state, the Skill recommends targeted breathing and body-awareness exercises with real-time feedback, helping you develop the interoceptive skills needed to recognize and regulate emotional responses tied to your physiological signals.