Science Score: 31.0%
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Low similarity (2.9%) to scientific vocabulary
Last synced: 10 months ago
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Repository
Retrospective of Ironman Lake Placid 2023
Basic Info
- Host: GitHub
- Owner: ngirmay
- License: mit
- Language: Jupyter Notebook
- Default Branch: main
- Homepage: https://nobel-girmay.tech/portfolio
- Size: 101 MB
Statistics
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
- Releases: 0
Created over 2 years ago
· Last pushed over 1 year ago
Metadata Files
Readme
License
Code of conduct
Citation
README.md
IronMan_2023
Main Objective: July 23rd 2023 I performed at the Lake Placid Ironman, with respect to my coaching and training I want to analyze my training v. my performance and extract any insights to guide further races
Data Preparation
The aim here will be to create a database that can be used for future analysis for my health data - SQLite will be used initally I will extract data from the following apps used during my training period: - Apple Health - MyfitnessPal - Wahoo - FORM
Data Analysis
- The marathon course will be compared to my training routes
- The lake swim will be compared to swimming in a 20 meter pool
- The bike course will be evaluted versus the indoor trainer as well as my outdoor rides
Owner
- Login: ngirmay
- Kind: user
- Repositories: 1
- Profile: https://github.com/ngirmay
Citation (citations)
1. World Triathlon. (n.d.). Elite Men | World Triathlon Rankings – World Triathlon. https://triathlon.org/rankings/world_triathlon_rankings/male 2. Anthropometry of Olympic Athletes 2016. (n.d.-b). https://www.topendsports.com/events/summer/science/anthropometry-2016.htm 3. Nancholas, B. (2019, November 18). HRV: My Key to Longevity in Ironman Training by Brian Schwind. Myithlete. https://www.myithlete.com/hrv-my-key-to-longevity-in-ironman-training-by-brian-schwind/ 4. Tiwari, R., Kumar, R., Malik, S., Raj, T., & Kumar, P. (2021). Analysis of heart rate variability and implication of different factors on heart rate variability. Current Cardiology Reviews, 17(5). https://doi.org/10.2174/1573403x16999201231203854 5. Souza, H. C. D., Philbois, S. V., Veiga, A. C., & Aguilar, B. A. (2021). Heart rate variability and cardiovascular fitness: what we know so far. Vascular Health and Risk Management, Volume 17, 701–711. https://doi.org/10.2147/vhrm.s279322 6. Limiting factors for maximum oxygen uptake and determinants . . . : Medicine & Science in Sports & Exercise. (n.d.). LWW. https://journals.lww.com/acsm-msse/fulltext/2000/01000/limiting_factors_for_maximum_oxygen_uptake_and.12.aspx 7. VO2 Scores | Alan Couzens. (n.d.). https://alancouzens.com/blog/VO2Scores.html 8. Ashfaq, A., Cronin, N., & Müller, P. (2022). Recent advances in machine learning for maximal oxygen uptake (VO2 max) prediction: A review. Informatics in Medicine Unlocked, 28, 100863. https://doi.org/10.1016/j.imu.2022.100863 9. Effortless Swimming. (2022, November 25). The simplest way to become a faster swimmer. https://effortlessswimming.com/ 10. Al-Khelaifi, F., Diboun, I., Donati, F., Botrè, F., Abraham, D., Hingorani, A., Albagha, O., Georgakopoulos, C., Suhre, K., Yousri, N. A., & Elrayess, M. A. (2019). Metabolic GWAS of elite athletes reveals novel genetically-influenced metabolites associated with athletic performance. Scientific Reports, 9(1). https://doi.org/10.1038/s41598-019-56496-7 11. Zhao, Y., Huang, G., Chen, Z., Fan, X., Huang, T., Liu, J., Zhang, Q., Shen, J., Li, Z., & Shi, Y. (2020). Four Loci Are Associated with Cardiorespiratory Fitness and Endurance Performance in Young Chinese Females. Scientific Reports, 10(1). https://doi.org/10.1038/s41598-020-67045-y 12. Semenova, E. A., Hall, E. C. R., & Ahmetov, I. I. (2023). Genes and Athletic Performance: the 2023 Update. Genes, 14(6), 1235. https://doi.org/10.3390/genes14061235 13. John, R., Dhillon, M. S., & Dhillon, S. (2020). Genetics and the elite Athlete: Our understanding in 2020. Indian Journal of Orthopaedics, 54(3), 256–263. https://doi.org/10.1007/s43465-020-00056-z
GitHub Events
Total
- Push event: 78
Last Year
- Push event: 78