root frequency theory, M-RFT, coherence metric, interoception, HRV, narrative coherence, iOS, human-AI interaction, epistemic scaffolding, digital mental health
05/18/2026
2605185690961

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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

Technical Documentation
m-rft
root frequency theory
interoceptive accuracy
heart rate variability
n=1 methodology
ecological momentary assessment
self-tracking
narrative coherence
neurophenomenology
coherence measurement

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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
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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

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Identifier 2605185690961
Entry date May 18, 2026, 3:43 AM UTC
License All rights reserved

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Author. Holder bianca avanzo. Date May 18, 2026.

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Revised in: 2605185690978 - root frequency theory, M-RFT, coherence metric, interoception, HRV, narrative coherence, iOS, human-AI interaction, epistemic scaffolding, digital mental health


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