New Android application

Bio Matrix Scan

Your Wellness Journal

An Android wellness journal for reviewing heart-rhythm recordings, HRV values, modeled wellness views, and PDF session reports.

Android only · Direct from Light Mandalas

Bio Matrix Scan Android application displayed on a tablet beside Mandala Scan hardware and a finger clip
Bio Matrix Scan with Mandala Scan hardware.

From recording to reflection

A clearer view of each session.

Bring recorded values, visual context, and a report you can revisit into one Android application.

  1. 01

    Prepare

    Use your Android device with the supported scan setup. Contact Light Mandalas to confirm hardware compatibility and connection requirements.

  2. 02

    Record

    Follow the scan instructions and review recording quality before exploring the results.

  3. 03

    Review

    Start with the recorded rhythm and HRV values, then explore the modeled Balance and Energy views.

  4. 04

    Keep

    Export a PDF session report and review repeated recordings with their dates, conditions, and personal context.

Inside Bio Matrix Scan

Four views. One wellness journal.

Start with your recording, explore its different views, and keep the complete context in sight.

01

Summary

Begin with the recording details, heart rate, and HRV values. The wellness overview adds calculated scores as a separate layer of reflection.

Bio Matrix Scan Summary screen with example session details and HRV values

Recording & HRV overview

Your session starts with a dated snapshot: heart rate, recording duration, accepted R-R intervals, and recording quality. Below it, the HRV table brings together mean R-R, SDNN, RMSSD, pNN50, and frequency-domain values.

Use the recording details to put the numbers in context. Compare your own sessions under similar conditions; a higher HRV value is not automatically a better result.

Bio Matrix Scan Summary screen with calculated wellness scores and an illustrative age estimate

Modeled wellness overview

Five color-coded bars present the app's calculated wellness overview on a shared percentage scale. The labels cover overall condition, body balance, nerve and hormone balance, stress and recovery, and ability to adapt.

The age graphic is another estimate from the software model. These scores help explain the app's interpretation; they do not directly measure hormones or establish your biological age.

Wellness scores and the displayed biological-age estimate are software models, not direct measurements of hormones, health, or biological age.

02

Rhythm

Review the recorded waveform, beat-to-beat intervals, and recording quality alongside the rhythmogram, interval distribution, scattergram, and frequency spectrum.

Bio Matrix Scan Android app showing the rhythm recording, coherent state trace, and session charts

Rhythm recording

The recorded waveform appears above a coherent-state trace and a chart of changes during the session. Seeing these together connects the captured rhythm with the app's evolving modeled indicators.

The waveform and the calculated traces represent different kinds of information. Keep recording quality and the full session report in view when reviewing them.

Bio Matrix Scan Rhythm screen with rhythmogram and histogram of R-R intervals

Intervals & distribution

The rhythmogram follows the spacing between accepted heartbeats across the recording. The histogram groups those R-R intervals by duration, making their distribution easier to see.

The displayed tension index is a software-model indicator. Read it alongside the interval charts and session conditions, rather than as a standalone stress score.

Bio Matrix Scan Rhythm screen with interval scattergram and VLF, LF, and HF estimates

Scattergram & spectrum

The scattergram plots each R-R interval against the next, showing how neighboring intervals relate. The spectrum diagram presents estimated VLF, LF, and HF proportions alongside total power.

Short recordings limit frequency-domain interpretation, particularly VLF. The LF/HF ratio is not a direct measure of stress or autonomic balance.

Read frequency estimates in the context of recording duration and quality. The report notes that LF/HF does not measure autonomic balance.

03

Balance

Explore calculated pattern graphics alongside familiar HRV values, then export a session report for later review.

Bio Matrix Scan Balance screen with a modeled neurodynamic matrix and energy-resource graphic

Matrix & resource model

The colored matrix groups the app's calculated neurodynamic categories into a visual pattern. Energy Flow Harmony then presents modeled resource and balance values with a graphic for accumulation and expenditure.

These are derived wellness models, not direct measurements of nerves, hormones, or cellular energy. Their role is to support a contextual conversation about the session.

Bio Matrix Scan Balance screen with illustrative patterns and recorded HRV values

Patterns & recording values

A multicolored pattern graphic appears above a compact set of recording values, including RMSSD, SDNN, usable heartbeats, and scan confidence. The screen brings modeled patterns and rhythm-related values into the same view.

Despite the Delta, Theta, Alpha, Beta, and Gamma labels, this graphic is illustrative. It is not an EEG recording or a measurement of brain activity.

Bio Matrix Scan Balance screen showing an illustrative daily curve and Export PDF button

Session report export

The daily-curve view displays the scan time alongside an illustrative pattern across the day. The Export PDF button gathers the session into a report with charts, recorded values, modeled views, and explanatory notes.

The daily curve is not a validated forecast or a guide to when you should be active. The exported report preserves the session's detail for later review.

The neurodynamic, energy-resource, nervous-system, and daily-forecast graphics are modeled illustrations. They do not measure brain activity or predict health.

04

Energy

Aura, chakra, and meridian graphics offer a symbolic framework for personal reflection and practitioner conversations.

Bio Matrix Scan Energy screen with a symbolic aura surrounding a complete human figure

Aura visualization

A field-style graphic surrounds a human figure, accompanied by a calculated index and a color description. This gives the Energy section a visual language for reflection and practitioner discussion.

The aura image is generated from the app's interpretation. It is not a photograph or measurement of a physical energy field.

Bio Matrix Scan Energy screen with seven symbolic chakra centers and calculated percentages

Chakra activity map

Seven named centers run from root to crown, each with its own color and calculated percentage. The map organizes the app's symbolic chakra view in one readable overview.

Use the labels as a traditional wellness framework. The percentages do not test organs, glands, or medical function.

Bio Matrix Scan Energy screen displaying calculated scores with traditional meridian labels

Meridian overview

Named meridian entries pair a percentage with a colored bar and the app's reference scale. This layout makes the relative calculated values easy to compare within the Energy view.

Cold, balanced, and heat are labels within this interpretive model. They do not indicate measured organ temperature or establish the health of an organ or meridian.

These calculated visualizations are not measurements of a physical aura, organs, glands, or meridian health.

PDF session reports

Keep the detail. Return to the context.

Export your session as a PDF, with recorded values, charts, modeled views, and explanations gathered together for later review.

  • Session date, duration, and recording quality
  • Heart rate, R-R intervals, and HRV values
  • Balance and Energy visualizations
  • A guide to the displayed results

Review patterns across your own sessions alongside how you felt and how each recording was taken.

See the complete report format.

Open a single-session example or a side-by-side comparison.

These demonstration reports use sample recordings and modeled wellness views. They show the reporting format and are not medical reports.

Bio Matrix Scan Android screen with the Export PDF button below the session views

Before you begin

Bio Matrix Scan questions.

For hardware compatibility and setup, speak with the Light Mandalas team.

Contact Us
Where can I download Bio Matrix Scan?

Use the official Download Android APK button on this page. The new application supports Android only and is not listed on Google Play or the App Store.

What do I need to record a scan?

The app works with a supported scan setup. The product image shows it with Mandala Scan hardware. Contact Light Mandalas to confirm compatibility, connection requirements, and setup for your Android device.

What is included in the PDF report?

The report brings together session details, rhythm and HRV values, recording-quality information, modeled Balance and Energy views, and a guide to interpreting the displayed results.

Are the wellness and energy scores medical measurements?

No. The calculated wellness scores, biological-age estimate, daily forecast, and energy graphics are interpretive models. They are not diagnoses or direct measurements of hormones, brain activity, organs, or a physical biofield.

Can I compare sessions?

Review your saved reports together with the conditions of each recording. Similar duration, posture, breathing, and time of day help provide context; a single higher number is not automatically an improvement.

What about the earlier Windows application?

The new release is an Android application. Legacy Windows installers remain available in the Application download center for existing users.

Further reading

Research and article references.

Bio Matrix Scan presents ECG-derived R-R intervals and common heart-rate variability metrics in its wellness reporting. These publications offer scientific background for signal quality, HRV measurement, short recordings, age-related variation, rhythmic organization, resonance-frequency breathing, and biofeedback.

This literature supports the measurement background and physiological context. It does not independently validate every Bio Matrix Scan visualization, wellness score, biological-age estimate, coherence calculation, or threshold. Bio Matrix Scan remains a wellness application, not a medical or diagnostic device.

01

ECG, R-R intervals, and measurement quality

3 references
  1. R01

    Role of editing of R-R intervals in the analysis of heart rate variability

    Peltola MA (2012) · Frontiers in Physiology · CC BY

    Explains how artifacts, missed beats, and extra detections can affect HRV analysis, and why interval-quality review matters.

  2. R02

    Heart Rate Variability and Cardiac Vagal Tone in Psychophysiological Research

    Laborde S, Mosley E, Thayer JF (2017) · Frontiers in Psychology · CC BY

    Provides recommendations for recording, preprocessing, contextual controls, analysis, and reporting.

  3. R03

    The physiological basis and measurement of heart rate variability in humans

    Draghici AE, Taylor JA (2016) · Journal of Physiological Anthropology · CC BY

    Reviews the cardiac, respiratory, autonomic, circulatory, and contextual influences represented in HRV.

02

Short recordings and HRV interpretation

3 references
  1. R04

    Validity of (Ultra-)Short Recordings for Heart Rate Variability Measurements

    Munoz ML et al. (2015) · PLOS ONE · CC BY

    Examines how agreement with longer recordings depends on the HRV metric and recording duration.

  2. R05

    An Overview of Heart Rate Variability Metrics and Norms

    Shaffer F, Ginsberg JP (2017) · Frontiers in Public Health · CC BY

    Introduces time-domain, frequency-domain, Poincare, entropy, and other nonlinear HRV measures, with context for norms.

  3. R06

    The LF/HF ratio does not accurately measure cardiac sympatho-vagal balance

    Billman GE (2013) · Frontiers in Physiology · CC BY

    Explains why LF and HF power have mixed, context-dependent determinants and why LF/HF is not a simple autonomic-balance measure.

03

Coherence, rhythmic organization, and HRV biofeedback

5 references
  1. R07

    Cardiac coherence, self-regulation, autonomic stability, and psychosocial well-being

    McCraty R, Zayas MA (2014) · Frontiers in Psychology · CC BY

    HeartMath-authored background describing cardiac coherence as an ordered heart-rhythm pattern and discussing self-regulation and physiological synchronization.

  2. R08

    Heart rate variability biofeedback: how and why does it work?

    Lehrer PM, Gevirtz R (2014) · Frontiers in Psychology · CC BY

    Reviews baroreflex and resonance mechanisms commonly used to explain HRV biofeedback.

  3. R09

    A Practical Guide to Resonance Frequency Assessment for Heart Rate Variability Biofeedback

    Shaffer F, Meehan ZM (2020) · Frontiers in Neuroscience · CC BY

    Describes individualized resonance-frequency assessment, paced-breathing comparisons, physiological monitoring, and unresolved questions.

  4. R10

    Methods for Heart Rate Variability Biofeedback: A Systematic Review and Guidelines

    Lalanza JF et al. (2023) · Applied Psychophysiology and Biofeedback · CC BY 4.0

    Reviews 143 HRV-biofeedback studies, identifies broad protocol families, and proposes reporting and implementation guidelines.

  5. R11

    Mobile Heart Rate Variability Biofeedback Improves Autonomic Activation and Subjective Sleep Quality of Healthy Adults - A Pilot Study

    Herhaus B, Kalin A, Gouveris H, Petrowski K (2022) · Frontiers in Physiology · CC BY

    Provides applied context for mobile HRV biofeedback, visual feedback, and paced breathing in a small healthy-adult pilot study.

04

Age-related context and heart-age research

2 references
  1. R12

    Short-Term Heart Rate Variability - Influence of Gender and Age in Healthy Subjects

    Voss A, Schroeder R, Heitmann A, Peters A, Perz S (2015) · PLOS ONE · CC BY

    Reports age- and sex-related differences in multiple five-minute HRV measures in 1,906 healthy participants.

  2. R13

    Electrocardiogram-Based Heart Age Estimation by a Deep Learning Model Provides More Information on the Incidence of Cardiovascular Disorders

    Chang CH, Lin CS, Luo YS, Lee YT, Lin C (2022) · Frontiers in Cardiovascular Medicine · CC BY

    Shows that raw ECG data can contain age-related information when analyzed by a separately trained and validated model.

05

HeartMath official background

3 references
  1. R14

    Heart Rate Variability Biofeedback in a Global Study of the Most Common Coherence Frequencies and the Impact of Emotional States

    Bradley S et al. (2025) · Scientific Reports · CC BY-NC-ND 4.0

    A HeartMath-associated publication describing an updated coherence-frequency approach and observations from a large global dataset.

  2. R15

    The emWave PC/Mac Stress Relief System: A Stress Management Training and Heart Rhythm Education System for Increasing Physiological Coherence

    McCraty R, Atkinson M, Tiller WA (1999) · HeartMath technical background · Rights not stated

    Provides historical HeartMath technical background for heart-rhythm coherence training.

  3. R16

    HeartMath Institute: Psychophysiological Coherence

    HeartMath Institute · Official research overview · Website terms

    Presents HeartMath's official public description of physiological-coherence terminology and measurement concepts.

Available for Android

Bio Matrix Scan

Download the official APK directly from Light Mandalas.

No Google Play or App Store listing. Android only.