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Validation reveals improved signal analysis with geometric effects in physiological signals, suggesting enhanced performance and reproducibility.
**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.
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Kevin Junginger (2026) studied this question.
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