Automatic detection of chronic pig coughing from continuous registration in field situations. - Annemie Van Hirtum; Marcella Guarino; Annamaria Costa; Peter Jans; Kathrien Ghesquiere; Jean-Marie Aerts; Pierluigi Navarotto; Daniel Berckmans (MAVEBA, 2003)

Labeling of cough data from pigs for on-line disease monitoring by sound analysis. - Jean-Marie Aerts; Peter Jans; David Halloy; Pascal Gustin; Daniel Berckmans (MAVEBA, 2005)

The Use of Multivariate Autoregressive Modelling for Analyzing Dynamical Physiological Responses of Individual Critically Ill Patients. - Kristien Van Loon; Jean-Marie Aerts; Geert Meyfroidt; Greta Van den Berghe; Daniel Berckmans (ISBMDA, 2006)

Dynamic Data Analysis and Data Mining for Prediction of Clinical Stability. - Kristien Van Loon; Fabian Güiza Grandas; Geert Meyfroidt; Jean-Marie Aerts; Jan Ramon; Hendrik Blockeel; Maurice Bruynooghe; Greta Van den Berghe; Daniel Berckmans (MIE, 2009)

Real-Time Monitoring of the Heart Rate Response to Power Output for Cyclists. - Joris Lefever; Frederik Jansen; Jean-Marie Aerts; Daniel Berckmans (BSN, 2010)

Prediction of Clinical Conditions after Coronary Bypass Surgery using Dynamic Data Analysis. - Kristien Van Loon; Fabian Güiza Grandas; Geert Meyfroidt; Jean-Marie Aerts; Jan Ramon; Hendrik Blockeel; Maurice Bruynooghe; Greta Van den Berghe; Daniel Berckmans (J. Medical Syst., 2010)

Computerized prediction of intensive care unit discharge after cardiac surgery: development and validation of a Gaussian processes model. - Geert Meyfroidt; Fabian Güiza Grandas; Dominiek Cottem; Wilfried De Becker; Kristien Van Loon; Jean-Marie Aerts; Daniel Berckmans; Jan Ramon; Maurice Bruynooghe; Greta Van den Berghe (BMC Medical Informatics Decis. Mak., 2011)

Dynamic Autoregressive Modelling of Critical Care Patients as a Basis for Health Monitoring. - Kristien Van Loon; Geert Meyfroidt; Tim Tambuyzer; Greta Van den Berghe; Daniel Berckmans; Jean-Marie Aerts (BIOSIGNALS, 2012)

Remotely sensed vegetation moisture as explanatory variable of Lyme borreliosis incidence. - José Miguel Barrios; Willem W. Verstraeten; Piet Maes; Jan Clement; Jean-Marie Aerts; Jamshid Farifteh; Katrien Lagrou; Marc Van Ranst; Pol Coppin (Int. J. Appl. Earth Obs. Geoinformation, 2012)

Dynamic Data-based Modelling of Synaptic Plasticity: mGluR-dependent Long-term Depression. - Tim Tambuyzer; Tariq Ahmed; C. James Taylor; Daniel Berckmans; Detlef Balschun; Jean-Marie Aerts (BIOSIGNALS, 2013)

System Identification of mGluR-Dependent Long-Term Depression. - Tim Tambuyzer; Tariq Ahmed; C. James Taylor; Daniel Berckmans; Detlef Balschun; Jean-Marie Aerts (Neural Comput., 2013)

Data based Modelling of Expired Airflow Clarifies Chronic Obstructive Pulmonary Disease. - Marko Topalovic; Vasileios Exadaktylos; Jean-Marie Aerts; Thierry Troosters; Marc Decramer; Daniel Berckmans; Wim Janssens (BIOSIGNALS, 2014)

Exploring Expiratory Flow Dynamics to Understand Chronic Obstructive Pulmonary Disease. - Marko Topalovic; Vasileios Exadaktylos; Jean-Marie Aerts; Thierry Troosters; Marc Decramer; Daniel Berckmans; Wim Janssens (BIOSTEC (Selected Papers), 2014)

Online Monitoring of Swimmer Training Using a 3D Accelerometer - Identifying Swimming and Swimming Style. - Marko Topalovic; Simon Eyers; Vasileios Exadaktylos; Jan Olbrecht; Daniel Berckmans; Jean-Marie Aerts (icSPORTS, 2014)

Neuronal Patterns in the Cavity Wall of Lesions during Gait Cycle in a Rat Model of Brain Lesion Cavities. - Ioana Nica; Marjolijn Deprez; Frederik Ceyssens; Kris van Kuyck; Robert Puers; Bart Nuttin; Jean-Marie Aerts (BIOSIGNALS, 2015)

Stress Level Monitoring in Car Racing - Examples of Measurements during Races. - Joachim Taelman; Pieter Joosen; Jean-Marie Aerts; Vasileios Exadaktylos; Daniel Berckmans (icSPORTS, 2016)

Development of a Data Logger for Capturing Human-Machine Interaction in Wheelchair Head-Foot Steering Sensor System in Dyskinetic Cerebral Palsy. - Sotirios Gakopoulos; Ioana Gabriela Nica; Saranda Bekteshi; Jean-Marie Aerts; Elegast Monbaliu; Hans Hallez (Sensors, 2019)

Heart Rate and Activity Measured during Volleyball Competition using Wearable Technology. - Jasper Gielen; Elise Mehuys; Kris Eyckmans; Jean-Marie Aerts (icSPORTS, 2020)

Vital Signs Prediction and Early Warning Score Calculation Based on Continuous Monitoring of Hospitalised Patients Using Wearable Technology. - Ahmed Youssef Ali Amer; Femke Wouters; Julie Vranken; Dianne de Korte-de Boer; Valérie Smit-Fun; Patrick Duflot; Marie-Hélène Beaupain; Pieter M. Vandervoort; Stijn Luca; Jean-Marie Aerts; Bart Vanrumste (Sensors, 2020)

A Localized Learning Approach Applied to Human Activity Recognition. - Ahmed Youssef Ali Amer; Jean-Marie Aerts; Bart Vanrumste; Stijn Luca (IEEE Intell. Syst., 2021)

Vital Signs Prediction for COVID-19 Patients in ICU. - Ahmed Youssef Ali Amer; Femke Wouters; Julie Vranken; Pauline Dreesen; Dianne de Korte-de Boer; Frank van Rosmalen; Bas C. T. van Bussel; Valérie Smit-Fun; Patrick Duflot; Julien Guiot; Iwan C. C. van der Horst; Dieter Mesotten; et al. (Sensors, 2021)

Assessment of movement disorders using wearable sensors during upper limb tasks: A scoping review. - Inti Vanmechelen; Helga Haberfehlner; Joni De Vleeschhauwer; Ellen Van Wonterghem; Hilde Feys; Kaat Desloovere; Jean-Marie Aerts; Elegast Monbaliu (Frontiers Robotics AI, 2022)

Reliability and Discriminative Validity of Wearable Sensors for the Quantification of Upper Limb Movement Disorders in Individuals with Dyskinetic Cerebral Palsy. - Inti Vanmechelen; Saranda Bekteshi; Helga Haberfehlner; Hilde Feys; Kaat Desloovere; Jean-Marie Aerts; Elegast Monbaliu (Sensors, 2023)

A new perspective on validation of wearables for stress monitoring of occupational drivers. - Nina Van Oost; Federica Masci; An-Marie Schyvens; Brent Peters; Hélène Dirix; Veerle Ross; Geert Wets; Johan Verbraecken; An Neven; Jean-Marie Aerts (EMBC, 2024)

Dynamic Swarm Orchestration and Semantics in IoT Edge Devices: A Systematic Literature Review. - Banani Anuraj; Davide Calvaresi; Jean-Marie Aerts; Jean-Paul Calbimonte (IEEE Access, 2024)