Resonance and Systemic Coordination in Human Physiology

This conceptual paper explores whether large-scale physiological coordination in the human body may be interpreted through a broader resonance-oriented systems framework. Building upon the clinically grounded Meridian Mechanics model, the present work shifts focus toward distributed coordination phenomena involving connective tissue dynamics, respiratory synchronization, oscillatory regulation, autonomic interaction, electrophysiological signaling, and systemic coherence behavior across multiple physiological scales. Rather than treating biological regulation as purely localized, the paper examines whether aspects of whole-body organization may emerge through dynamically coupled relationships between interacting physiological systems. The work does not propose new physical laws or experimentally verified mechanisms. Instead, it presents an exploratory systems-level interpretation intended to bridge biomechanics, neurophysiology, systems physiology, and coherence-oriented models of biological organization. Particular attention is given to: resonance-like coordination in physiology distributed mechanical and electrophysiological interaction oscillatory synchronization across biological systems connective tissue as an integrative network layered organizational structures in complex physiology possible coherence-based interpretations of large-scale systemic regulation The paper is intentionally theoretical and hypothesis-generating in nature. It is written primarily for readers already familiar with the author’s earlier work on Meridian Mechanics, systemic physiological coordination, and emerging resonance-oriented models of biological organization. While speculative in several areas, the framework aims to remain physiologically grounded and compatible with established scientific principles wherever possible. The broader objective is to encourage interdisciplinary investigation into how complex biological systems maintain coherence, adaptability, and large-scale functional integration.