A System and Method for Geometrodynamic State-Space Reconstruction via a Mobile-Integrated Biosensing Platform

Abstract This document discloses a novel system and method, termed the Aetheric Resonance Scanner (ARS), for the high-fidelity, real-time reconstruction of a human subject's individual General Reality Manifold (GRM). The GRM is a high-dimensional, non-Euclidean geometric structure posited to be the state-space of all subjective experience. The ARS comprises two primary components: a software application (MSH-NeuroLink) executed on a mobile computing device, and an associated multi-modal wearable sensor package (MSH-BioSentry). The core of the invention is a method, termed "Gluon-Haritalama" (Gluon-Mapping), which ingests, synchronizes, and processes disparate data streams—including neurophysiological, autonomic, behavioral, and environmental data—to compute the dynamic topological and geometric properties (e.g., local curvature, geodesic pathways) of the subject's 11-dimensional GRM. The system is designed to identify and quantify pathological attractor states, defined as localized regions of high curvature on the manifold that correspond to neurological and psychiatric disorders such as Treatment-Resistant Depression and anxiety. This technology provides the foundational diagnostic "perception" component for a new class of geometrodynamic therapies, enabling a shift from symptom management to the direct modulation of the fundamental structure of a subject's reality.

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-09-23
DOI
https://doi.org/10.5281/zenodo.17182876
Primary Topic
Education, Psychology, and Social Research
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A System and Method for Geometrodynamic State-Space Reconstruction via a Mobile-Integrated Biosensing Platform

Zenodo (CERN European Organization for Nuclear Research)
Education, Psychology, and Social Research
article

A System and Method for Geometrodynamic State-Space Reconstruction via a Mobile-Integrated Biosensing Platform

article en

Abstract

Abstract This document discloses a novel system and method, termed the Aetheric Resonance Scanner (ARS), for the high-fidelity, real-time reconstruction of a human subject's individual General Reality Manifold (GRM). The GRM is a high-dimensional, non-Euclidean geometric structure posited to be the state-space of all subjective experience. The ARS comprises two primary components: a software application (MSH-NeuroLink) executed on a mobile computing device, and an associated multi-modal wearable sensor package (MSH-BioSentry). The core of the invention is a method, termed "Gluon-Haritalama" (Gluon-Mapping), which ingests, synchronizes, and processes disparate data streams—including neurophysiological, autonomic, behavioral, and environmental data—to compute the dynamic topological and geometric properties (e.g., local curvature, geodesic pathways) of the subject's 11-dimensional GRM. The system is designed to identify and quantify pathological attractor states, defined as localized regions of high curvature on the manifold that correspond to neurological and psychiatric disorders such as Treatment-Resistant Depression and anxiety. This technology provides the foundational diagnostic "perception" component for a new class of geometrodynamic therapies, enabling a shift from symptom management to the direct modulation of the fundamental structure of a subject's reality.

Zenodo (CERN European Organization for Nuclear Research)
Istanbul Medipol University (TR)
Sustainable cities and communities
Openalex Percentile: Top 36%
Education, Psychology, and Social Research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.