Home › Analytical Chem › Using Wavelet Entropy to Demonstrate how Mindfulness Practice Increases Coordination between Irregular Cerebral and Cardiac Activities
Analytical Chem JoVE (Open Access) Citable · DOI

Using Wavelet Entropy to Demonstrate how Mindfulness Practice Increases Coordination between Irregular Cerebral and Cardiac Activities

DOI: 10.3791/55455-v
What you'll learn
  • ✓ Apply wavelet entropy analysis to EEG and ECG data
  • ✓ Interpret coordination metrics between cerebral and cardiac activity
  • ✓ Evaluate physiological changes during mindfulness-based stress reduction
Protocol

This manuscript describes how to use the wavelet entropy index to analyze high-density electroencephalography (EEG) and electrocardiography (ECG) data. We show that the irregularity of cerebral and cardiac activities became more coordinated during mindfulness-based stress reduction practice.

Difficulty
advanced
Total time
~60–90 min per participant (acquisition + real-time analysis)

Steps

1
Acquire high-density EEG and ECG data

Set up electroencephalography and electrocardiography equipment to simultaneously record cerebral and cardiac electrical activity from study participants during baseline and mindfulness practice sessions.

▶ 01:49
2
Process EEG and ECG signals with wavelet entropy

Apply wavelet entropy index calculations to both EEG and ECG datasets to quantify irregularity and detect temporal coordination patterns between the two signals.

▶ 04:14
3
Analyze increased cerebral-cardiac coordination

Compare wavelet entropy measures before and during mindfulness-based stress reduction to demonstrate increased synchronization between irregular cerebral and cardiac activities.

▶ 06:26
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