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February 16, 2026Open Access

Geometric Effects of Information - Weighted Time Reparameterization on Physiological Signal Analysis

Key Points

This research explores the geometric effects of an information-adaptive time coordinate on physiological signal analysis.
Analyzed ECG and PPG signals across 121,261 segments from GalaxyPPG and MIMIC-III databases.
Utilized wavelet transformation for multi-scale assessment into micro, meso, and macro levels.
Compared traditional time analysis against the proposed method for signal evaluation.
Demonstrated reduced convolution artifacts in analyzed signals.
Achieved more homogeneous point densities and stable topological structures.
Validated effects are reproducible and resistant to external interference.

Abstract

**ResonoTime Paper v1.0** – Scientific investigation of geometric effects of an information-adaptive time coordinate in the analysis of physiological signals such as ECG and PPG. **Validation** on 121,261 segments (GalaxyPPG + MIMIC-III) shows reduced convolution artifacts, more homogeneous point densities, and more stable topological structures compared to conventional time analysis. All effects are empirically reproducible and robust against interference. **Multi-scale extension** (wavelet transformation) decomposes signals into micro, meso, and macro scales – already implemented as kernel D. **Included:** Full paper (DE/EN), kernel code, app V2.2 APK, benchmark data (121k segments). **Open source:** resonotime-kernel v2.2 (Docker) – Deterministic, schema-validated, reproducible.

Geometric Effects of Information - Weighted Time Reparameterization on Physiological Signal Analysis

Key Points

Abstract

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