Bart Vanrumste
Orcid: 0000-0002-9409-935X
According to our database1,
Bart Vanrumste
authored at least 104 papers
between 2000 and 2024.
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Bibliography
2024
Eat-Radar: Continuous Fine-Grained Intake Gesture Detection Using FMCW Radar and 3D Temporal Convolutional Network With Attention.
IEEE J. Biomed. Health Informatics, February, 2024
Skeleton-Based Action Segmentation With Multi-Stage Spatial-Temporal Graph Convolutional Neural Networks.
IEEE Trans. Emerg. Top. Comput., 2024
DS-MS-TCN: Otago Exercises Recognition with a Dual-Scale Multi-Stage Temporal Convolutional Network.
CoRR, 2024
CoRR, 2024
2023
A Multi-Stage Temporal Convolutional Network for Volleyball Jumps Classification Using a Waist-Mounted IMU.
CoRR, 2023
Otago Exercises Monitoring for Older Adults by a Single IMU and Hierarchical Machine Learning Models.
CoRR, 2023
Intake Gesture Detection With IMU Sensor in Free-Living Environments: The Effects of Measuring Two-Hand Intake and Down-Sampling.
Proceedings of the 19th IEEE International Conference on Body Sensor Networks, 2023
Automated freezing of gait assessment with deep learning and data augmentation from simulated inertial measurement unit data.
Proceedings of the 19th IEEE International Conference on Body Sensor Networks, 2023
Proceedings of the 16th International Joint Conference on Biomedical Engineering Systems and Technologies, 2023
2022
Forecasting Time Series in Healthcare With Gaussian Processes and Dynamic Time Warping Based Subset Selection.
IEEE J. Biomed. Health Informatics, 2022
Dynamic sensor activation and decision-level fusion in wireless acoustic sensor networks for classification of domestic activities.
Inf. Fusion, 2022
Eat-Radar: Continuous Fine-Grained Eating Gesture Detection Using FMCW Radar and 3D Temporal Convolutional Network.
CoRR, 2022
Drinking Gesture Detection Using Wrist-Worn IMU Sensors with Multi-Stage Temporal Convolutional Network in Free-Living Environments.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022
Are Gyroscopes an Added Value in Leave-One-Subject-Out Activity Recognition with IMUs?
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022
2021
Recognition of Bathroom Activities in Older Adults Using Wearable Sensors: A Systematic Review and Recommendations.
Sensors, 2021
Motion Sensor-Based Detection of Outlier Days Supporting Continuous Health Assessment for Single Older Adults.
Sensors, 2021
Exploration of Human Activity Recognition Using a Single Sensor for Stroke Survivors and Able-Bodied People.
Sensors, 2021
Modelling and identification of characteristic kinematic features preceding freezing of gait with convolutional neural networks and layer-wise relevance propagation.
BMC Medical Informatics Decis. Mak., 2021
IEEE Intell. Syst., 2021
Automated freezing of gait assessment with marker-based motion capture and deep learning approaches expert-level detection.
CoRR, 2021
Automatically Segmenting Physical Performance Test Items for Older Adults Using a Doppler Radar: A Proof of Concept Study.
IEEE Access, 2021
LETS: A Label-Efficient Training Scheme for Aspect-Based Sentiment Analysis by Using a Pre-Trained Language Model.
IEEE Access, 2021
A Personalized Bayesian Approach for Early Intervention in Gestational Weight Gain Management Toward Pregnancy Care.
IEEE Access, 2021
Bathroom activities monitoring for older adults by a wrist-mounted accelerometer using a hybrid deep learning model.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021
Feature selection for unbiased imputation of missing values: A case study in healthcare.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021
Synthetic Data Generation and Multi-Task Learning for Extracting Temporal Information from Health-Related Narrative Text.
Proceedings of the Seventh Workshop on Noisy User-generated Text, 2021
2020
Measuring and Localizing Individual Bites Using a Sensor Augmented Plate During Unrestricted Eating for the Aging Population.
IEEE J. Biomed. Health Informatics, 2020
Vital Signs Prediction and Early Warning Score Calculation Based on Continuous Monitoring of Hospitalised Patients Using Wearable Technology.
Sensors, 2020
Data augmentation and semi-supervised learning for deep neural networks-based text classifier.
Proceedings of the SAC '20: The 35th ACM/SIGAPP Symposium on Applied Computing, online event, [Brno, Czech Republic], March 30, 2020
From Promoting Dignity to Installing Distrust: Understanding the Role of Continence Care Technology in Nursing Homes.
Proceedings of the NordiCHI '20: Shaping Experiences, 2020
Proceedings of the 6th International Conference on Information and Communication Technologies for Ageing Well and e-Health, 2020
Proceedings of the 8th IEEE International Conference on Healthcare Informatics, 2020
Rheumatic Heart Disease Detection Using Deep Learning from Spectro-Temporal Representation of Un-segmented Heart Sounds.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020
Towards an Ambient Support System for Continence Management in Nursing Homes: An Exploratory Study.
Proceedings of the 13th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2020), 2020
Proceedings of the 13th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2020), 2020
Proceedings of the Sixth Workshop on Noisy User-generated Text, 2020
Designing a Tablet-Based Application for Self-Assessment Questionnaires with Nursing Home Residents.
Proceedings of the DIS '20: Designing Interactive Systems Conference 2020, 2020
2019
Proceedings of the 17th Conference on Embedded Networked Sensor Systems, 2019
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019
Use of wearable technology to quantify fall risk in psychogeriatric environments: a feasability study.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019
Quantifying Eating Behavior With a Smart Plate in Patients With Arm Impairment After Stroke.
Proceedings of the 2019 IEEE EMBS International Conference on Biomedical & Health Informatics, 2019
Ageing is Not a Disease: Pitfalls for the Acceptance of Self-Management Health Systems Supporting Healthy Ageing.
Proceedings of the 21st International ACM SIGACCESS Conference on Computers and Accessibility, 2019
2018
A multi-layered energy consumption model for smart wireless acoustic sensor networks.
CoRR, 2018
DCASE 2018 Challenge - Task 5: Monitoring of domestic activities based on multi-channel acoustics.
CoRR, 2018
Vision-Based Marker-Less Spatiotemporal Gait Analysis by Using a Mobile Platform: Preliminary Validation.
Proceedings of the Information and Communication Technologies for Ageing Well and e-Health, 2018
Proceedings of the 4th International Conference on Information and Communication Technologies for Ageing Well and e-Health, 2018
Measuring weight and location of individual bites using a sensor augmented smart plate.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018
2017
Medical Biol. Eng. Comput., 2017
Three Ways to Improve the Performance of Real-Life Camera-Based Fall Detection Systems.
J. Sensors, 2017
Detection of chewing motion in the elderly using a glasses mounted accelerometer in a real-life environment.
Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017
Improving the accuracy of existing camera based fall detection algorithms through late fusion.
Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017
The SINS Database for Detection of Daily Activities in a Home Environment Using an Acoustic Sensor Network.
Proceedings of the Workshop on Detection and Classification of Acoustic Scenes and Events, 2017
2016
Automated Detection of Tonic-Clonic Seizures Using 3-D Accelerometry and Surface Electromyography in Pediatric Patients.
IEEE J. Biomed. Health Informatics, 2016
IEEE Trans. Image Process., 2016
Camera-based fall detection using real-world versus simulated data: How far are we from the solution?
J. Ambient Intell. Smart Environ., 2016
J. Ambient Intell. Smart Environ., 2016
J. Ambient Intell. Smart Environ., 2016
2015
A multi-channel speech enhancement framework for robust NMF-based speech recognition for speech-impaired users.
Proceedings of the INTERSPEECH 2015, 2015
Automated Respiration Detection from Neonatal Video Data.
Proceedings of the ICPRAM 2015, 2015
Energy efficient monitoring of activities of daily living using wireless acoustic sensor networks in clean and noisy conditions.
Proceedings of the 23rd European Signal Processing Conference, 2015
Monitoring activities of daily living using Wireless Acoustic Sensor Networks in clean and noisy conditions.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015
Online detection of tonic-clonic seizures in pediatric patients using ECG and low-complexity incremental novelty detection.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015
Automatic detection of health changes using statistical process control techniques on measured transfer times of elderly.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015
Estimation of the Maximal Heart Rate to Improve Online Tonic-Clonic Seizure Detection using ECG.
Proceedings of the Computing in Cardiology, 2015
Automatic Fall Risk Estimation using the Nintendo Wii Balance Board.
Proceedings of the HEALTHINF 2015, 2015
2014
Accelerometry-Based Home Monitoring for Detection of Nocturnal Hypermotor Seizures Based on Novelty Detection.
IEEE J. Biomed. Health Informatics, 2014
Detecting rare events using extreme value statistics applied to epileptic convulsions in children.
Artif. Intell. Medicine, 2014
Detection of epileptic convulsions from accelerometry signals through machine learning approach.
Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2014
Proceedings of the 2014 IEEE International Conference on Data Mining, 2014
Three-layer-isotropic skull conductivity representation in the EEG forward problem using spherical head models.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014
2013
Proceedings of the IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, 2013
Automatic Monitoring of Activities of Daily Living based on Real-life Acoustic Sensor Data: a~preliminary study.
Proceedings of the Fourth Workshop on Speech and Language Processing for Assistive Technologies, 2013
Proceedings of the INTERSPEECH 2013, 2013
Handling Unbalanced Data in Nocturnal Epileptic Seizure Detection using Accelerometers.
Proceedings of the ICPRAM 2013, 2013
2012
NeuroImage, 2012
Integrating video and accelerometer signals for nocturnal epileptic seizure detection.
Proceedings of the International Conference on Multimodal Interaction, 2012
Using spatio-temporal interest points (STIP) for myoclonic jerk detection in nocturnal video.
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012
Automatic Video Detection of Nocturnal Epileptic Movement based on Motion Tracks.
Proceedings of the BIOSIGNALS 2012, 2012
2011
The BOLD correlates of the visual P1 and N1 in single-trial analysis of simultaneous EEG-fMRI recordings during a spatial detection task.
NeuroImage, 2011
Int. J. Ambient Comput. Intell., 2011
Proceedings of the Outdoor and Large-Scale Real-World Scene Analysis - 15th International Workshop on Theoretical Foundations of Computer Vision, Dagstuhl Castle, Germany, June 26, 2011
Proceedings of the Workshop Proceedings of the 7th International Conference on Intelligent Environments, 2011
2010
Erratum to: Removal of Muscle Artifacts from EEG Recordings of Spoken Language Production.
Neuroinformatics, 2010
Neuroinformatics, 2010
Removal of BCG artifacts from EEG recordings inside the MR scanner: A comparison of methodological and validation-related aspects.
NeuroImage, 2010
Automatic video detection of body movement during sleep based on optical flow in pediatric patients with epilepsy.
Medical Biol. Eng. Comput., 2010
Comput. Methods Programs Biomed., 2010
Proceedings of the Sixth International Conference on Intelligent Environments, 2010
2009
Comput. Intell. Neurosci., 2009
2007
Canonical Decomposition of Ictal Scalp EEG and Accurate Source Localisation: Principles and Simulation Study.
Comput. Intell. Neurosci., 2007
2006
Canonical Correlation Analysis Applied to Remove Muscle Artifacts From the Electroencephalogram.
IEEE Trans. Biomed. Eng., 2006
Proceedings of the 28th International Conference of the IEEE Engineering in Medicine and Biology Society, 2006
2005
Modeling common dynamics in multichannel signals with applications to artifact and background removal in EEG recordings.
IEEE Trans. Biomed. Eng., 2005
2002
Proceedings of the Computational Science - ICCS 2002, 2002
2000
Proceedings of the Medical Imaging 2000: Image Processing, 2000
Detection and localization of epileptic brain activity using an artificial neural network for dipole source analysis.
Proceedings of the 10th European Signal Processing Conference, 2000