About the work
This paper documents the design, protocol, and preliminary findings of a longitudinal N=1 self-tracking study using the Root Extension iOS application to measure cross-scale coherence via the M-RFT metric (M = (Φ · Kₑ) / F). Data collection: 321 sessions across 23 active measurement days (April 16–May 14, 2026). Key findings include: mean M = 3.79 (SD = 3.51), 71.0% RESILIENT states, 21.5% FRAGMENTED states, mean RMSSD = 89.73 ms, intra-session regulatory recovery on 34.8% of active days, and a theoretically significant low correlation between M score and subjective coherence self-report (r = .186). The researcher is the sole participant. Derived from Root Frequency Theory (Avanzo, 2026a). Embargoed until June 1, 2026
AI Availability Declaration
This work cannot be made available to AI systems.
Related registrations
Revised in
This paper documents the design, protocol, and preliminary findings of a longitudinal N=1 self-tracking study using the Root Extension iOS application to measure cross-scale coherence via the M-RFT metric (M = (Φ · Kₑ) / F). Data collection: 321 sessions across 23 active measurement days (April 16–May 14, 2026). Key findings include: mean M = 3.79 (SD = 3.51), 71.0% RESILIENT states, 21.5% FRAGMENTED states, mean RMSSD = 89.73 ms, intra-session regulatory recovery on 34.8% of active days, and a theoretically significant low correlation between M score and subjective coherence self-report (r = .186). The researcher is the sole participant. Derived from Root Frequency Theory (Avanzo, 2026a). Embargoed until June 1, 2026
All rights reserved
Print work information
Work information
Title root frequency theory, M-RFT, coherence metric, interoception, HRV, narrative coherence, iOS, human-AI interaction, epistemic scaffolding, digital mental health
This paper documents the design, protocol, and preliminary findings of a longitudinal N=1 self-tracking study using the Root Extension iOS application to measure cross-scale coherence via the M-RFT metric (M = (Φ · Kₑ) / F). Data collection: 321 sessions across 23 active measurement days (April 16–May 14, 2026). Key findings include: mean M = 3.79 (SD = 3.51), 71.0% RESILIENT states, 21.5% FRAGMENTED states, mean RMSSD = 89.73 ms, intra-session regulatory recovery on 34.8% of active days, and a theoretically significant low correlation between M score and subjective coherence self-report (r = .186). The researcher is the sole participant. Derived from Root Frequency Theory (Avanzo, 2026a). Embargoed until June 1, 2026
Work type Technical Documentation
Tags m-rft, root frequency theory, interoceptive accuracy, heart rate variability, n=1 methodology, ecological momentary assessment, self-tracking, narrative coherence, neurophenomenology, coherence measurement
-------------------------
Registry info in Safe Creative
Identifier 2605185690961
Entry date May 18, 2026, 3:43 AM UTC
License All rights reserved
-------------------------
Copyright registered declarations
Author. Holder bianca avanzo. Date May 18, 2026.
-------------------------
Related registrations
Revised in: 2605185690978 - root frequency theory, M-RFT, coherence metric, interoception, HRV, narrative coherence, iOS, human-AI interaction, epistemic scaffolding, digital mental health
Information available at https://www.safecreative.org/work/2605185690961-root-frequency-theory-m-rft-coherence-metric-interoception-hrv-narrative-coherence-ios-human-ai-interaction-epistemic-scaffolding-digital-mental-health