Publications by authors named "Jesse Davis"

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Perspectives on data analytics for gaining a competitive advantage in football: computational approaches to tactics.
Sigrid Olthof, Jesse Davis

Sci Med Footb· July 2025

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The potential of machine learning in classifying relapse and non-relapse in children with clubfoot based on movement patterns.
Lianne Grin, Sieglinde Bogaert, Saskia Wijnands, Arnold Besselaar, Marieke van der Steen, Jesse Davis

Sci Rep· July 2025

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Does a Simple Blood Gas Analysis and the Clinical Impression Predict Trauma-Induced Coagulopathy?
Peter Hilbert-Carius, Rolf Lefering, Hermann Wrigge, Gunther O Hofmann, Jesse Davis

Hamostaseologie· January 2025

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Predicting vertical ground reaction force characteristics during running with machine learning.
Sieglinde Bogaert, Jesse Davis, Benedicte Vanwanseele

Front Bioeng Biotechnol· October 2024

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Detecting Epileptic Seizures Using Hand-Crafted and Automatically Constructed EEG Features.
Arne De Brabandere, Christos Chatzichristos, Wim Van Paesschen, Maarten De Vos, Jesse Davis

IEEE Trans Biomed Eng· January 2024

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Hypercapnic signaling influences hypoxic signaling in the control of breathing in C57BL6 mice.
Paulina M Getsy, Jesse Davis, Gregory A Coffee, Tristan H J Lewis, Stephen J Lewis

J Appl Physiol (1985)· May 2023

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Perspective on "in the wild" movement analysis using machine learning.
Eva Dorschky, Valentina Camomilla, Jesse Davis, Peter Federolf, Jasper Reenalda

Hum Mov Sci· February 2023

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Joint kinematics alone can distinguish hip or knee osteoarthritis patients from asymptomatic controls with high accuracy.
Jill Emmerzaal, Sam Van Rossom, Rob van der Straaten, Arne De Brabandere, Kristoff Corten, Jesse Davis

J Orthop Res· October 2022

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Differential Ratings of Perceived Exertion: Relationships With External Intensity and Load in Elite Men's Football.
Kobe C Houtmeyers, Pieter Robberechts, Arne Jaspers, Shaun J McLaren, Michel S Brink, Jesse J Davis

Int J Sports Physiol Perform· September 2022

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Machine-learned-based prediction of lower extremity overuse injuries using pressure plates.
Loren Nuyts, Arne De Brabandere, Sam Van Rossom, Jesse Davis, Benedicte Vanwanseele

Front Bioeng Biotechnol· September 2022

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Pneumonia is a common and early complication of the Severe Alcohol Withdrawal Syndrome (SAWS).
Richard W Carlson, Navkaran Girgla, Jesse Davis, Ali Moradi, Tracy Cooper

Heart Lung· June 2022

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Alcohol Withdrawal Syndrome in Women vs Men: Analysis of 1496 Cases at a Single Site.
Francisco J Canales, Jesse Davis, Navkaran Girgla, Maryam Emami, Tracy Cooper

Am J Crit Care· May 2022

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Can the Output of a Learned Classification Model Monitor a Person's Functional Recovery Status Post-Total Knee Arthroplasty?
Jill Emmerzaal, Arne De Brabandere, Rob van der Straaten, Johan Bellemans, Liesbet De Baets, Jesse Davis

Sensors (Basel)· May 2022

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Impact of Gender and Feature Set on Machine-Learning-Based Prediction of Lower-Limb Overuse Injuries Using a Single Trunk-Mounted Accelerometer.
Sieglinde Bogaert, Jesse Davis, Sam Van Rossom, Benedicte Vanwanseele

Sensors (Basel)· April 2022

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Architecture- and Composition-Controlled Self-Assembly of Block Copolymers and Binary Mixtures With Crosslinkable Components: Chain Exchange Between Block Copolymer Nanoparticles.
Panpan Li, Jesse L Davis, Jimmy W Mays, Xu Wang, S Michael Kilbey

Front Chem· February 2022

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Motion Sensor-Based Detection of Outlier Days Supporting Continuous Health Assessment for Single Older Adults.
Marc Mertens, Glen Debard, Jesse Davis, Els Devriendt, Koen Milisen

Sensors (Basel)· September 2021

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Evaluation of Automated Hypnogram Analysis on Multi-Scored Polysomnographies.
Dries Van der Plas, Johan Verbraecken, Marc Willemen, Wannes Meert, Jesse Davis

Front Digit Health· July 2021

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Predicting gait events from tibial acceleration in rearfoot running: A structured machine learning approach.
Pieter Robberechts, Rud Derie, Pieter Van den Berghe, Joeri Gerlo, Dirk De Clercq, Jesse Davis

Gait Posture· February 2021

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Towards the Monitoring of Functional Status in a Free-Living Environment for People with Hip or Knee Osteoarthritis: Design and Evaluation of the JOLO Blended Care App.
Jill Emmerzaal, Arne De Brabandere, Yves Vanrompay, Julie Vranken, Valerie Storms, Jesse Davis

Sensors (Basel)· December 2020

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Accelerometer Based Data Can Provide a Better Estimate of Cumulative Load During Running Compared to GPS Based Parameters.
Benedicte Vanwanseele, Tim Op De Beéck, Kurt Schütte, Jesse Davis

Front Sports Act Living· October 2020

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A Machine Learning Approach to Estimate Hip and Knee Joint Loading Using a Mobile Phone-Embedded IMU.
Arne De Brabandere, Jill Emmerzaal, Annick Timmermans, Ilse Jonkers, Benedicte Vanwanseele, Jesse Davis

Front Bioeng Biotechnol· April 2020

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Tibial Acceleration-Based Prediction of Maximal Vertical Loading Rate During Overground Running: A Machine Learning Approach.
Rud Derie, Pieter Robberechts, Pieter Van den Berghe, Joeri Gerlo, Dirk De Clercq, Jesse Davis

Front Bioeng Biotechnol· February 2020

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Predicting Future Perceived Wellness in Professional Soccer: The Role of Preceding Load and Wellness.
Tim Op De Beéck, Arne Jaspers, Michel S Brink, Wouter G P Frencken, Filip Staes, Jesse J Davis

Int J Sports Physiol Perform· September 2019

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Use of wearable technology to quantify fall risk in psychogeriatric environments: a feasability study.
Marc Mertens, Julie Raepsaet, Glen Debard, Mieke Mondelaers, Bart Vanrumste, Jesse Davis

Annu Int Conf IEEE Eng Med Biol Soc· July 2019

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Data fusion of body-worn accelerometers and heart rate to predict VO2max during submaximal running.
Arne De Brabandere, Tim Op De Beéck, Kurt H Schütte, Wannes Meert, Benedicte Vanwanseele, Jesse Davis

PLoS One· April 2019

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