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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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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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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 coherence measurement, ecological momentary assessment, heart rate variability, self-tracking, root frequency theory, interoceptive accuracy, n=1 methodology, narrative coherence, neurophenomenology, m-rft
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Identifier 2605185690978
Entry date May 18, 2026, 3:44 AM UTC
License All rights reserved
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Author. Holder bianca avanzo. Date May 18, 2026.
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Revision of: 2605185690961 - root frequency theory, M-RFT, coherence metric, interoception, HRV, narrative coherence, iOS, human-AI interaction, epistemic scaffolding, digital mental health
Revised in: 2605185690985 - Before Fragmentation: A Longitudinal N=1 Study of Pre-Symptomatic Coherence Across Physiological, Interoceptive, and Narrative Layers
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