CHRONOHUMAN

Time of birth (A)—Birth time (HH:MM) used to compute phase φ.
Defines the initial oscillator state for Type A.

Phase φ rad (A)—Initial phase in radians (0 – 2π).
Fraction of daily cycle at moment of birth × 2π.

Phase φ deg (A)—Same phase expressed in degrees (0° – 360°).
Easier to compare angular positions between A and B.

Cycle pos (A)—Position within the daily cycle at birth (%).
0% = midnight · 50% = noon · 100% = next midnight.

Nodal pts (A)—Total nodal points found over 112 years for Type A.
Dates when birth day-of-week repeats — harmonic resonances.

Time of birth (B)—Birth time (HH:MM) used to compute phase φ.
Defines the initial oscillator state for Type B.

Phase φ rad (B)—Initial phase in radians (0 – 2π).
Fraction of daily cycle at moment of birth × 2π.

Phase φ deg (B)—Same phase expressed in degrees (0° – 360°).
Easier to compare angular positions between A and B.

Cycle pos (B)—Position within the daily cycle at birth (%).
0% = midnight · 50% = noon · 100% = next midnight.

Nodal pts (B)—Total nodal points found over 112 years for Type B.
Dates when birth day-of-week repeats — harmonic resonances.

Wave period112 yearsFull span of the harmonic model: 112 years.
LCM of all harmonic periods in the superposition.

X-axis scaleyearsCurrent time resolution of the X-axis.
Auto-adjusts with zoom: ms → sec → min → h → days → years.

Zoom scale0XCurrent zoom level (logarithmic scale 0–1000X).
Use +/− buttons or hold to navigate at selected speed.

Personal workspace · Calendar management,
notes & annotations, messages and events.
Your private data linked to Type A & B profiles.

Opens the Phase Portrait (Lissajous Attractor) for Type A & B.
⚠ Requires both Type A and Type B to be calculated first.
Displays the phase-space trajectory of A↔B oscillators,
coupling strength, lock state and Δφ over 112-year span.

▶ Verification Module · 3 Bio-Astronomical Markers

M1 · Period 24h

Detects the dominant biological period in actigraphy data.
Tests whether the rhythm matches the 24h geophysical cycle.
Goal: confirm or reject circadian synchronisation.

M2 · Drift / Isolation

Compares rhythm period before and during isolation.
A stable period in isolation = hidden geophysical correlator.
Goal: distinguish entrained vs free-running oscillator.

M3 · Mutual Information

Measures statistical dependency between activity and solar altitude.
Permutation test (n surrogates) estimates significance.
Goal: detect non-linear bio-astronomical correlation.

Actigraphy CSV

Actigraphy data · .FIT, .TCX (Garmin/Strava/Polar), Apple Health export.xml, or .CSV
Required CSV columns: timestamp, activity_counts
Example: 2024-01-01 00:00:00, 12 ?

How to export your data

Garmin Connect: open an activity → ⋯ menu → Export to TCX, or Connect Web → Account → Export Your Data.

Apple Health: Health app → tap your profile photo → Export All Health Data → Export → save the export.zip and unzip to get export.xml.

Fitbit: Fitbit.com → Account Settings → Data Export, or an individual activity page → Export to TCX.

ONLY Generates CSV from Type A wave (30 days, 1 min/point).
Feeds model prediction directly into M1.
M1 measures model period → compare with real Δ.
⚠ Overwrites the field — does NOT combine with MODEL-B. OR Same for Type B wave.
⚠ Overwrites the field — does NOT combine with MODEL-A.

Method Lomb-Scargle: spectral power estimator for unevenly sampled data.
Detects dominant frequency without requiring uniform time steps.
Best for real-world actigraphy recordings. Period range (h) Lower bound of the search window (hours).
Default 20h — typical minimum for human circadian rhythm.
Reduce if testing ultradian periods. – Upper bound of the search window (hours).
Default 28h — covers circadian drift range 24±4h.
Increase if testing longer biological cycles.

Awaiting data…

Actigraphy CSV
(baseline + isolation)

Actigraphy data · .FIT, .TCX (Garmin/Strava/Polar), Apple Health export.xml, or .CSV
Required columns: timestamp, activity_counts
Baseline + isolation segments in one file ?

How to export your data

Garmin Connect: open an activity → ⋯ menu → Export to TCX, or Connect Web → Account → Export Your Data.

Apple Health: Health app → tap your profile photo → Export All Health Data → Export → save the export.zip and unzip to get export.xml.

Fitbit: Fitbit.com → Account Settings → Data Export, or an individual activity page → Export to TCX.

ONLY 60 days of Type A wave → M2 analyses model drift.
Isolation start = midpoint of range (day 30).
Model drift Δ vs reality = endogenous oscillator validation.
⚠ Overwrites the field — does NOT combine with MODEL-B. OR Same for Type B wave.
⚠ Overwrites the field — does NOT combine with MODEL-A.

Isolation start date UTC datetime when isolation protocol began.
Data before this point = baseline segment.
Data after = free-running isolation segment.
Format: YYYY-MM-DD HH:MM:SS

Awaiting data…

Actigraphy CSV

Actigraphy data · .FIT, .TCX (Garmin/Strava/Polar), Apple Health export.xml, or .CSV
Required columns: timestamp, activity_counts
Example: 2024-01-01 00:00:00, 12 ?

How to export your data

Garmin Connect: open an activity → ⋯ menu → Export to TCX, or Connect Web → Account → Export Your Data.

Apple Health: Health app → tap your profile photo → Export All Health Data → Export → save the export.zip and unzip to get export.xml.

Fitbit: Fitbit.com → Account Settings → Data Export, or an individual activity page → Export to TCX.

ONLY Type A wave → Actigraphy CSV field.
MI(model, reality) → p-value = φ-model validity measure.
If p<0.05 — model predicts real behaviour.
⚠ Overwrites the field — does NOT combine with MODEL-B. OR Same for Type B wave.
⚠ Overwrites the field — does NOT combine with MODEL-A.

Ephemeris CSV
(UTC timestamp,
solar_altitude)

Ephemeris data · .CSV only
Required columns: timestamp (UTC), solar_altitude
Example: 2024-01-01 00:00:00, -25.3

Surrogates n Number of random permutations for the null distribution.
Higher = more precise p-value, but slower computation.
Default 1000 · minimum recommended: 500. Bins Number of histogram bins for MI estimation.
Too few = low resolution · too many = sparse counts.
Default 20 · optimal range: 10–50 for typical datasets.

Awaiting data…

CHRONOHUMAN · Human Harmonic Oscillator Model · Version 42

⊕NODAL POINTS — SIGNATURE MATCHES

▶ Verification Module · 3 Bio-Astronomical Markers