PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
May 14, 20264 citationsOpen Access

Functional Ventilatory Profiling for Dynamic Reading

View Full Paper
CRCyril Ricci

Key Result

Functional ventilatory profiling using proprietary indices (ICIF, IMD, ECFI, IPV) provides an interpretive framework that produces gains in watts at ventilatory thresholds over a 48-week cohort.

Key Points

  • The aim is to introduce a new interpretive framework for understanding ventilatory performance dynamics in athletes.
  • Utilized a framework developed over six years with repeated measurements on 80 athletes.
  • Included longitudinal monitoring of 20 athletes with multiple annual monitorings.
  • Introduced proprietary indices to identify patterns not captured by previous markers.
  • The indices IKIF, IMD, ECFI, and IPV effectively bridge static capacity and dynamic use.
  • Demonstrated that the ventilatory driver significantly impacts performance gains over a 48-week period.
  • Patterns from the indices showed distinct characteristics that were previously unexplored.

Structured PICO

P
Population
Around 80 WorldTour and ProTeam athletes, with 20 in longitudinal VST monitoring (48-week cohort)
I
Intervention
Functional ventilatory profiling using proprietary indices (ICIF, IMD, ECFI, IPV) and VST monitoring
O
Outcome
Gain in watts at ventilatory thresholdssurrogate

Presents a novel interpretive framework of proprietary ventilatory indices to bridge static capacity and dynamic use in elite athletes.

Abstract

This article is not a literature review on ventilatory physiology. It presents an interpretive framework I have developed over six years of repeated measurements — around 80 WorldTour and ProTeam athletes profiled, twenty in longitudinal VST monitoring, hundreds of monitorings per year. The proprietary indices I present — ICIF, IMD, ECFI, IPV — did not emerge from theoretical intuition. They emerged from recurrent patterns that published markers did not describe. The article positions them as bridges between static capacity and dynamic use, to be read in pairs within a framework of discriminants. And it explains why this measurement architecture is inseparable from the VST project — the ventilatory driver that produces, on the 48-week cohort, the bulk of the gain in watts at ventilatory thresholds.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Cyril Ricci (2026) studied Athletic performance (n=80). Functional Ventilatory Profiling (VST monitoring) was evaluated on Gain in watts at ventilatory thresholds. Functional ventilatory profiling using proprietary indices (ICIF, IMD, ECFI, IPV) provides an interpretive framework that produces gains in watts at ventilatory thresholds over a 48-week cohort.

synapsesocial.com/papers/6a0567e9a550a87e60a20216https://doi.org/10.5281/zenodo.20132550
Ask AI
Helpful
Bookmark
Share
View Full Paper