Key result
Phase-locking analysis of multimodal wearable biosignals provides testable criteria to identify structured biological temporal coordination.
Why the study?
To test whether biological events preferentially occur at specific phases of internal physiological oscillations, consistent with the hypothesis that time functions as a vibrational phase code.
This paper provides an open-science mathematical and computational framework for testing the hypothesis of biological time alignment using multimodal wearable biosignals.
This paper presents a falsifiable analysis of biological time using phase-locking statistics derived from multimodal wearable biosignals. We test whether biological events preferentially occur at specific phases of internal physiological oscillations, consistent with the Δ.72 hypothesis that time functions as a vibrational phase code. Using phase-locking value (PLV), surrogate nulls, cross-modal coherence, and phase–amplitude coupling, we evaluate whether non-random temporal alignment emerges across subjects and signal modalities. The results demonstrate testable criteria for identifying structured temporal coordination within biological systems. Version 1.0 includes full mathematical definitions, a complete replication protocol, analysis scripts, and instructions for independent verification. This framework is intentionally published as open science to encourage collaborative testing, falsification attempts, and cross-lab replication.
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A 2025 study studied this question. Phase-locking analysis was evaluated on Non-random temporal alignment across subjects and signal modalities. Phase-locking analysis of multimodal wearable biosignals provides testable criteria for identifying structured temporal coordination within biological systems.
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