Prediction of the duration of maximal exercise test in professional adolescent football players based on the cardiorespiratory signals – a pilot study

Опубликована: Июль 15, 2024

This pilot study aimed to evaluate the potential of machine learning models utilizing parameters estimated from cardiorespiratory signals obtained during rest in predicting duration maximal cardiopulmonary exercise tests (CPET) professional adolescent football players. The involved a group 36 male athletes, whose cardiac and respiratory were recorded supine position for at least 5 minutes. Heart rate variability, statistical features signal causal information domains quantifying interdependency between calculated later used analysis. most relevant (Pearson correlation with CPET over 0.2) modeling leave-one-out validation applied. Models demonstrated promising results mean absolute percentage error 17%, 129 seconds, root squared 170 R2 score 0.52, Pearson coefficient 0.74. Explainable artificial intelligence techniques provided insights into influence individual features, showing primary importance but also highlighting need incorporating interdependencies.

Язык: Английский

Relationship between Cardio-respiratory Capacity and Academic Performance among Medical Female Ex-Students: Body Mass Index Effect

Salud Ciencia y Tecnología, Год журнала: 2024, Номер 5, С. 1110 - 1110

Опубликована: Ноя. 7, 2024

Introduction: This study examined the effects of Body Mass Index (BMI) on Cardiorespiratory Capacity (CRC) and explored relationship between CRC Academic Performance (AP) among female medical ex-students at Prince Sattam bin Abdul Aziz University (PSAU). Understanding these associations could highlight role physical fitness in academic success.Methods: A sample 150 ex-students, aged 23.3±0.6 years, was categorized into normal weight (BMI 18.5–24.9 kg/m²) overweight 25–29.9 groups. BMI calculated to determine status, assessed using 20-m shuttle run test (VO2max), AP evaluated through grades (AG) abilities (AA) Spanish Test Educational Abilities. Statistical analyses included independent t-tests Pearson’s correlation.Results: Normal-weight participants demonstrated significantly higher (VO2max = 55.3 ±4.9 mL.kg⁻¹.min⁻¹) than (50.8 ±4.2 mL.kg⁻¹.min⁻¹, p=0.03). Additionally, normal-weight scored both AA (58.82 ±9.7 vs. 59.64 ±10.04, p=0.04) AG (3.4 ±0.6 3.7 ±0.5, p=0.032). negatively correlated with (r -0.20, p=0.024), while positively 0.18, p=0.015) 0.24, p=0.043).Conclusions: Higher associated better performance, increased lower CRC. The findings suggest that promoting may be beneficial for success students PSAU.

Язык: Английский

Characterization of Multiple Regimes of Cardiorespiratory Phase Synchronization in Athletes Undergoing Inspiratory Muscle Training

2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), Год журнала: 2023, Номер unknown, С. 1 - 4

Опубликована: Июль 24, 2023

Cardiorespiratory phase synchronization (CRPS) is defined as the stable occurrence of n heartbeats within m respiratory cycles according to n:m locking ratio (PLR). Since CRPS an intermittent phenomenon where different regimes and epochs unlocking can alternate same recording, index ideally should assess all potential PLRs present in recording. However, traditional approaches compute (SYNC%) over a single PLR, namely one that maximizes CRPS. In work, we tested assessing total percentage coupled inspiratory onset regardless (SYNC% sum ) compared its efficacy more SYNC%. Analysis was carried out cohort 25 male amateur cyclists (age: 20-40 yrs) undergoing muscle training (IMT) at intensities. assessed before after IMT protocol, during experimental condition known modify CRPS, active standing (STAND). We found moderate intensity 60% maximal pressure, SYNC% could detect decrease following STAND. This result not visible using Therefore, stress significant presence athletes importance accounting for multiple analysis.Clinical Relevance— Multiple contribute significantly cardiorespiratory control especially intensity.

Язык: Английский