Wavelet Entropy
Signal organisation during mindfulness, informing a proposed Clarity Score.
The science of a shared breath
Turning the vision into a useful experience requires collaboration across hardware, software, and neuroscience — through the proposed Multimodal Mindfulness Index.
The Foundation
The Multimodal Mindfulness Index
The MMI would bring together EEG, cardiac, and breathing measurements to provide understandable feedback during practice.
The approach draws on work at HKU's Centre of Buddhist Studies and the Centre on Behavioral Health. The intended research programme examines how physiological measures relate to attention, relaxation, and emotional regulation. The MMI would require validation before it could support clinical claims or meaningful comparisons between people.
Key Measures
What we explore
Alpha & Theta
8–12 Hz and 4–7 Hz activity, linked to relaxed alertness.
Brain–Heart Coordination
EEG with heart rate variability — harmony between mind and body.
Mindfulness Score
A 0–100 feedback tool — a guide to practice, not a judgement.
Privacy & Choice
Local processing, participant choice
The proposed architecture prioritises processing on the device or phone where feasible.
The shared community visualisation would use aggregated, de-identified features rather than individuals' raw neural signals. Optional research data collection — and any later use for AI training — would require a separate, clearly explained consent process and appropriate governance.
- No neural data required for basic practice
- Separate, clearly explained consent for research
- Feedback is supportive, never a grade of worth