exercise-physiology

🏃 An R package for advanced sports performance analysis and training load monitoring using Strava data.

A running simulator grounded in exercise-physiology research. Oregon Trail for runners.

Web Bluetooth power capture for air bikes, with a three-sprint anaerobic profiling protocol using blood lactate

Curated research on competitive swimming: stroke biomechanics, drag reduction, critical swim speed, taper science, dryland training, and open-water performance.

AI Characterization of Exercise Airflow Limitation

Interactive exercise physiology modules: from muscle action to glucose metabolism

A Shiny app for estimating and tracking a practical power-duration profile from five field tests.

Claude Code skill: turn COROS running data into a performance curve corrected for gradient, heat, humidity and altitude — using published physiological models

A workbench for designing, refining, practicing, and analyzing pacing strategy for cycling time trials.

Boxing Science Athlete Management System (public edition): athlete testing, physiology analysis, combine events and training. Next.js, FastAPI, Supabase.

트레드밀 경사에서 수직 상승(Vertical Kilometer)을 계산·시뮬레이션한다. 벨트 거리와 수평 거리를 구분하고, ACSM 추정이 어디서부터 외삽인지 경고로 같이 내보낸다.

An auditable, living reference for how accurate consumer wearables actually are — computed validity grades from the independent literature.

Data and analyses code for the manuscript "Revisiting cardiac output estimated noninvasively from oxygen uptake during exercise: An exploratory hypothesis generating replication study"

Autonomous, deterministic, agent-driven endurance coaching engine for Intervals.icu (running & cycling tracking, workout planning, and calendar synchronization)

Code and synthetic data for "Physics-Informed Neural Networks for Parameter Estimation in a Two-Compartment Bioenergetic Model of Critical Power"

Peer-reviewed resources on altitude training for athletes: LHTL protocols, erythropoiesis, hemoglobin mass, altitude tents, and return-to-sea-level timing.

Analysis pipeline for the Maximal Returns Protocol: a 12-week, 1-hour/week concurrent training intervention (n=9, PRE/MID/POST). Mixed-effects models, Hedges' g effect sizes, sex-adjusted + ANCOVA sensitivity analyses.

Evidence-based physiology and training science for masters athletes (40+): VO2 max decline, sarcopenia prevention, hormonal changes, recovery, and competitive performance optimization.

Multi-omics analysis (R and Python) of the MoTrPAC endurance-training dataset: redox buffering vs. mitochondrial oxidative capacity across 19 tissues and 5 omic layers. Manuscript in preparation.

Source for alanruddock.com: academic site, VO2max learning modules and a classroom polling platform