Zignoli A - Search Results

1

Association between pre-exercise food ingestion timing and reactive hypoglycemia: Insights from a large database of continuous glucose monitoring data.

Zignoli A, Fontana FY, Lipman DJ, Skroce K, Maturana FM, Zisser HC. Zignoli A, et al. Eur J Sport Sci. 2023 Dec;23(12):2340-2348. doi: 10.1080/17461391.2023.2233468. Epub 2023 Jul 30. Eur J Sport Sci. 2023. PMID: 37424300 Free article.

2

Oxynet: A collective intelligence that detects ventilatory thresholds in cardiopulmonary exercise tests.

Zignoli A, Fornasiero A, Rota P, Muollo V, Peyré-Tartaruga LA, Low DA, Fontana FY, Besson D, Pühringer M, Ring-Dimitriou S, Mourot L. Zignoli A, et al. Eur J Sport Sci. 2022 Mar;22(3):425-435. doi: 10.1080/17461391.2020.1866081. Epub 2021 Jan 31. Eur J Sport Sci. 2022. PMID: 33331795 Free article.

3

Assessment of bike handling during cycling individual time trials with a novel analytical technique adapted from motorcycle racing.

Zignoli A, Biral F, Fornasiero A, Sanders D, Erp TV, Mateo-March M, Fontana FY, Artuso P, Menaspà P, Quod M, Giorgi A, Laursen PB. Zignoli A, et al. Eur J Sport Sci. 2022 Sep;22(9):1355-1363. doi: 10.1080/17461391.2021.1966517. Epub 2021 Sep 13. Eur J Sport Sci. 2022. PMID: 34369299 Free article.

4

Expert-level classification of ventilatory thresholds from cardiopulmonary exercising test data with recurrent neural networks.

Zignoli A, Fornasiero A, Stella F, Pellegrini B, Schena F, Biral F, Laursen PB. Zignoli A, et al. Eur J Sport Sci. 2019 Oct;19(9):1221-1229. doi: 10.1080/17461391.2019.1587523. Epub 2019 Mar 18. Eur J Sport Sci. 2019. PMID: 30880591 Free article.

5

Machine Learning Models for the Automatic Detection of Exercise Thresholds in Cardiopulmonary Exercising Tests: From Regression to Generation to Explanation.

Zignoli A. Zignoli A. Sensors (Basel). 2023 Jan 11;23(2):826. doi: 10.3390/s23020826. Sensors (Basel). 2023. PMID: 36679622 Free PMC article.

6

Estimating an individual's oxygen uptake during cycling exercise with a recurrent neural network trained from easy-to-obtain inputs: A pilot study.

Zignoli A, Fornasiero A, Ragni M, Pellegrini B, Schena F, Biral F, Laursen PB. Zignoli A, et al. PLoS One. 2020 Mar 12;15(3):e0229466. doi: 10.1371/journal.pone.0229466. eCollection 2020. PLoS One. 2020. PMID: 32163443 Free PMC article.

7

Post-exercise cardiac autonomic and cardiovascular responses to heart rate-matched and work rate-matched hypoxic exercise.

Fornasiero A, Zignoli A, Rakobowchuk M, Stella F, Savoldelli A, Skafidas S, Schena F, Pellegrini B, Mourot L. Fornasiero A, et al. Among authors: zignoli a. Eur J Appl Physiol. 2021 Jul;121(7):2061-2076. doi: 10.1007/s00421-021-04678-5. Epub 2021 Apr 3. Eur J Appl Physiol. 2021. PMID: 33811558 Free PMC article.

8

Eager to set a record in a vertical race? Test your VO_2max first!

Fornasiero A, Savoldelli A, Zignoli A, Callovini A, Decet M, Bortolan L, Schena F, Pellegrini B. Fornasiero A, et al. Among authors: zignoli a. J Sports Sci. 2022 Nov;40(22):2544-2551. doi: 10.1080/02640414.2023.2172801. Epub 2023 Feb 1. J Sports Sci. 2022. PMID: 36725692

9

Muscle and tendon stiffness and belly gearing positively correlate with rate of torque development during explosive fixed end contractions.

Monte A, Zignoli A. Monte A, et al. Among authors: zignoli a. J Biomech. 2021 Jan 4;114:110110. doi: 10.1016/j.jbiomech.2020.110110. Epub 2020 Nov 30. J Biomech. 2021. PMID: 33302182

10

Knee flexor and extensor torque ratio in elderly men and women with and without obesity: a cross-sectional study.

Muollo V, Zignoli A, Ghiotto L, Milanese C, Zamboni M, Schena F, Rossi AP. Muollo V, et al. Among authors: zignoli a. Aging Clin Exp Res. 2022 Jan;34(1):209-214. doi: 10.1007/s40520-021-01884-1. Epub 2021 May 15. Aging Clin Exp Res. 2022. PMID: 33991332

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