A. Zignoli

发表

An Extreme Mountain Ultra-Marathon Decreases the Cost of Uphill Walking and Running

G. Millet, F. Schena, G. Vernillo, 2016, Front. Physiol..

Prediction of pacing and cornering strategies during cycling individual time trials with optimal control

F. Biral, A. Zignoli, 2020 .

Influence of corners and road conditions on cycling individual time trial performance and ‘optimal’ pacing strategy: A simulation study

A. Zignoli, 2020 .

Cardiac Autonomic and Physiological Responses to Moderate- intensity Exercise in Hypoxia

F. Schena, A. Savoldelli, B. Pellegrini, 2019, International Journal of Sports Medicine.

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

F. Schena, A. Rossi, M. Zamboni, 2021, Aging Clinical and Experimental Research.

Automatic generation of realistic cardiopulmonary exercise test data with a conditional generative adversarial neural network

A. Zignoli, Damiano Fruet, 2022, 2022 IEEE International Workshop on Sport, Technology and Research (STAR).

Influence of the world’s most challenging mountain ultra-marathon on energy cost and running mechanics

G. Millet, F. Schena, G. Vernillo, 2014, European Journal of Applied Physiology.

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

Francesco Biral, Andrea Zignoli, Barbara Pellegrini, 2020, PloS one.

State-of-the art concepts and future directions in modelling oxygen consumption and lactate concentration in cycling exercise

Francesco Biral, Enrico Bertolazzi, Andrea Zignoli, 2019, Sport Sciences for Health.

Developing a testing protocol to assess the mechanical properties of high-level cycling shoes

F. Biral, V. Fontanari, S. Raghavendra, 2022, The Star.

Energy cost and kinematics of level, uphill and downhill running: fatigue-induced changes after a mountain ultramarathon

F. Schena, G. Vernillo, A. Savoldelli, 2015, Journal of sports sciences.

Full characterisation of knee extensors’ function in ageing: effect of sex and obesity

C. Capelli, F. Schena, A. Rossi, 2021, International Journal of Obesity.

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

F. Schena, A. Savoldelli, B. Pellegrini, 2021, European Journal of Applied Physiology.

Post-Exercise Hypotension and Reduced Cardiac Baroreflex after Half-Marathon Run: In Men, but Not in Women

F. Schena, L. Isacco, B. Pellegrini, 2020, International journal of environmental research and public health.

Shortening Work-Rest Durations Reduces Physiological and Perceptual Load During Uphill Walking in Simulated Cold High-Altitude Conditions.

D. Low, F. Schena, A. Savoldelli, 2020, High altitude medicine & biology.

Delayed parasympathetic reactivation and sympathetic withdrawal following maximal cardiopulmonary exercise testing (CPET) in hypoxia

F. Schena, G. Boccia, A. Savoldelli, 2018, European Journal of Applied Physiology.

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

A. Zignoli, A. Monte, 2020, Journal of biomechanics.

How the Oxynet web applications are used to crowdsource and interpret cardiopulmonary exercising tests data

F. Schena, B. Pellegrini, A. Zignoli, 2023, Biomed. Signal Process. Control..

Physiological factors associated with ski-mountaineering vertical race performance

F. Schena, G. Boccia, A. Savoldelli, 2018, Sport Sciences for Health.

Influence of the world’s most challenging mountain ultra-marathon on energy cost and running mechanics

Grégoire P. Millet, Andrea Zignoli, Barbara Pellegrini, 2014, European Journal of Applied Physiology.

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

A. Zignoli, 2023, Sensors.

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

D. Low, L. Mourot, A. Zignoli, 2020, European journal of sport science.

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

F. Biral, F. Schena, P. Laursen, 2019, European journal of sport science.

G. Lippi, F. Schena, A. Savoldelli, 2019, Diabetes research and clinical practice.

Personalized nutrition and machine-learning: Exploring the scope of continuous glucose monitoring in healthy individuals in uncontrolled settings

A. Zignoli, Kristina Skroče, David Lipman, 2024, Biomedical Signal Processing and Control.

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

Howard C. Zisser, D. Lipman, A. Zignoli, 2023, European journal of sport science.

Including a Musculoskeletal Model in the Control Loop of an Assistive Robot for the Design of Optimal Target Forces

Francesco Biral, Tomoyuki Shimono, Andrea Zignoli, 2019, IECON 2019 - 45th Annual Conference of the IEEE Industrial Electronics Society.

Delayed parasympathetic reactivation and sympathetic withdrawal following maximal cardiopulmonary exercise testing (CPET) in hypoxia

F. Schena, G. Boccia, A. Savoldelli, 2018, European Journal of Applied Physiology.