PulsHealth
Knowledge Base
HKQuantityTypeLab and Test Results

Electrodermal Activity

Skin conductance measurement indicating sympathetic nervous system arousal and stress response

Unit:mcS
Since:iOS 8.0 (2014)
Source:HealthKit

Clinical Ranges

Populationnormal
General Adults1-20 mcS baseline, with stress responses showing 0.1-5 mcS increases above baseline
Relaxed State0.5-5 mcS typically indicates low arousal or relaxation
High Arousal/StressRapid increases of 2-10 mcS above baseline indicate sympathetic activation

Overview

Electrodermal activity (EDA), also known as galvanic skin response (GSR) or skin conductance, measures the electrical conductivity of the skin. This metric reflects sweat gland activity controlled by the sympathetic nervous system, making it a reliable indicator of physiological arousal, stress, and emotional state.

How It's Measured

EDA is measured by passing a small, imperceptible electrical current between two electrodes placed on the skin surface. The conductance between these electrodes changes based on sweat gland activity:

  • Tonic level (SCL): The baseline skin conductance level that changes slowly over time
  • Phasic responses (SCR): Rapid, transient increases in conductance in response to specific stimuli
  • Measurement locations include fingers, palms, and wrists, with palms being most sensitive
  • Consumer devices typically sample at 1-4 Hz, while research devices may sample at 10-100 Hz

Health Significance

EDA provides valuable insights into autonomic nervous system function:

  • Stress monitoring: Elevated or reactive EDA indicates sympathetic nervous system activation
  • Anxiety assessment: Chronic elevated EDA may suggest persistent anxiety states
  • Sleep quality: EDA patterns during sleep correlate with sleep stage transitions
  • Emotional regulation: Blunted EDA responses may indicate emotional dysregulation
  • Biofeedback therapy: Used in stress management and anxiety treatment protocols
  • PTSD screening: Altered EDA patterns observed in trauma-related conditions

Clinical Interpretation Guidelines

When interpreting EDA data for clinical purposes:

  1. Establish individual baseline: EDA varies significantly between individuals; track changes from personal baseline
  2. Consider context: Environmental temperature, hydration, and physical activity affect readings
  3. Look for patterns: Chronic elevation vs. acute spikes tell different stories
  4. Time correlation: Correlate EDA changes with reported stressors, activities, or symptoms
  5. Recovery metrics: Time to return to baseline after stress events indicates autonomic resilience
  6. Medication effects: Beta-blockers and anxiolytics can reduce EDA responses

Caveats & Limitations

  • High individual variability: Absolute values differ greatly between people; focus on relative changes
  • Environmental sensitivity: Temperature, humidity, and hydration significantly affect readings
  • Motion artifacts: Physical activity can create false readings on consumer devices
  • Electrode placement: Different body locations yield different absolute values
  • Habituation: Repeated stimuli produce diminishing EDA responses
  • Not diagnostic: EDA alone cannot diagnose conditions; it's a supplementary indicator
  • Consumer device accuracy: Clinical-grade devices are more reliable than consumer wearables

Additional Notes

EDA is increasingly used in digital health applications for stress management and mental wellness tracking. When combined with heart rate variability (HRV) and other autonomic markers, it provides a more complete picture of stress and recovery states. For clinical applications, consider that EDA data from consumer wearables may not meet research-grade standards but can still identify meaningful trends over time.

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