Publications by authors named "Gert Mertes"

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Self-Supervised Machine Learning to Characterize Step Counts from Wrist-Worn Accelerometers in the UK Biobank.
Scott R Small, Shing Chan, Rosemary Walmsley, Lennart VON Fritsch, Aidan Acquah, Gert Mertes

Med Sci Sports Exerc· October 2024

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Digital health technologies and machine learning augment patient reported outcomes to remotely characterise rheumatoid arthritis.
Andrew P Creagh, Valentin Hamy, Hang Yuan, Gert Mertes, Ryan Tomlinson

NPJ Digit Med· February 2024

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Patient Clustering for Vital Organ Failure Using ICD Code With Graph Attention.
Zhangdaihong Liu, Ying Hu, Xuan Wu, Gert Mertes, Yang Yang

IEEE Trans Biomed Eng· August 2023

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Development and Validation of a Machine Learning Wrist-worn Step Detection Algorithm with Deployment in the UK Biobank.
Scott R Small, Shing Chan, Rosemary Walmsley, Lennart von Fritsch, Aidan Acquah, Gert Mertes

medRxiv· February 2023

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A Deep Learning Approach for the Assessment of Signal Quality of Non-Invasive Foetal Electrocardiography.
Gert Mertes, Yuan Long, Zhangdaihong Liu, Yuhui Li, Yang Yang

Sensors (Basel)· April 2022

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Measuring and Localizing Individual Bites Using a Sensor Augmented Plate During Unrestricted Eating for the Aging Population.
Gert Mertes, Li Ding, Wei Chen, Hans Hallez, Jie Jia

IEEE J Biomed Health Inform· May 2020

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Measuring weight and location of individual bites using a sensor augmented smart plate.
Gert Mertes, Glenn Christiaensen, Hans Hallez, Sammy Verslype, Wei Chen

Annu Int Conf IEEE Eng Med Biol Soc· July 2018

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Improving the accuracy of existing camera based fall detection algorithms through late fusion.
Greet Baldewijns, Glen Debard, Gert Mertes, Tom Croonenborghs, Bart Vanrumste

Annu Int Conf IEEE Eng Med Biol Soc· July 2017

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Detection of chewing motion in the elderly using a glasses mounted accelerometer in a real-life environment.
Gert Mertes, Hans Hallez, Bart Vanrumste, Tom Croonenborghs

Annu Int Conf IEEE Eng Med Biol Soc· July 2017

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Bridging the gap between real-life data and simulated data by providing a highly realistic fall dataset for evaluating camera-based fall detection algorithms.
Greet Baldewijns, Glen Debard, Gert Mertes, Bart Vanrumste, Tom Croonenborghs

Healthc Technol Lett· March 2016

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