Now onboarding institutional research cohorts
Wearable EEG, PPG and respiration, read alongside practice context, become an interpretable session profile — and a trend measured against each practitioner’s own baseline.
Why measurement
DeepMindex is a software platform, not a device. It reads the session, reports only what the signal supports, and leaves interpretation to the practitioner and their teacher.
Read our philosophyPractitioners cannot tell whether attention is actually stabilising, whether the body is regulating, or whether recovery between sessions is improving. Instructors have no objective read on a cohort beyond attendance and self-report.
DeepMindex makes that measurable — interpretation first, and without turning practice into a leaderboard. Every reading is gated by signal quality, anchored to the practitioner’s own baseline, and reported with its uncertainty.
Attention
Wearable EEG shows how attention behaves across a session, rather than relying on how the session felt afterwards.
Physiological regulation
PPG-derived heart-rate and pulse-rate variability measures describe autonomic regulation in parallel with the neural record.
Recovery
Comparing sessions against an individual baseline shows whether regulation and recovery are trending, not just varying.
Introduction film
A short introduction to DeepMindex, recorded for the Technology Start-up Support Scheme for Universities. It follows the work from meditation research at the University of Hong Kong to measurement at wearable scale.
Built on a decade of EEG research
Dr. Junling Gao’s lab at the University of Hong Kong studies how meditation, mindfulness and chanting support emotion regulation, using high-density EEG alongside body signals.
Measured at wearable scale
Nearly 1,000 wearable recordings pairing brainwave and pulse data give the models a statistical base no single session can provide.
Tested in deep and clinical states
Recordings from advanced meditators, plus hospital collaborations that include ICU patients, widen the range of mental states the platform can learn from.
One system
A score without a next step leaves people unsure what to do. DeepMindex connects the assessment to practice, then tracks what changes.
See how attention and physiological regulation behave now, measured under the practitioner’s own protocol rather than at rest.
Personalised biofeedback responds to the session as it happens, so the practitioner can work with what the signal shows rather than guess afterwards.
Later sessions are compared with the individual baseline, and the trend is reported with its uncertainty instead of a single false-precision figure.
Two ways in
Through a meditation or mindfulness programme, or inside a research lab. The assessment engine is the same; the access is different.
ProgrammesCohort-level visibility for instructors and programme leads, without ranking individuals or turning practice into surveillance.
ResearchRaw-signal access and standardised protocols for labs validating the method against their own cohort.
The research base
DeepMindex builds on long-standing EEG and meditation research, and on data already collected.
What makes a reading trustworthy
Signal-quality assessment
A reading that cannot be trusted is not reported. Quality gates every session before it is allowed to become a number.
Individual baselines
Progress is measured against your own baseline, never against a population average or another practitioner.
Brain–body modelling
Neural and autonomic streams are modelled together, because attention and physiological regulation move together.
Transparent uncertainty
The platform shows how confident a reading is, instead of presenting a single figure with false precision.
In the field
Feedback from the practitioners, instructors and researchers running DeepMindex with real cohorts.
“Placeholder — replace with approved feedback from a programme lead running a pilot cohort.”
“Placeholder — replace with approved feedback from an instructor using the cohort dashboard.”
“Placeholder — replace with approved feedback from a researcher working with exported session data.”
FAQ
What a pilot involves, how measures are built, and how participant data is handled.
Full FAQA pilot runs with wearable EEG and PPG sensors provided as part of the programme, with respiration added where the setup supports it. Nothing is implanted and no clinic visit is required.
Every session is anchored to the practitioner’s own baseline, established across their earlier sessions, rather than to a population average.
An interpretable profile of attention, physiological regulation and recovery, with signal-quality notes and the uncertainty behind each reading stated openly.
Physiological data is collected under the programme’s own consent process and used to report on that participant’s sessions. See the Privacy Policy for retention and sharing.
Institutional pilots
Fixed-term programmes with a defined participant group, so you can evaluate attention, regulation and recovery against your own protocol.
