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2020 – today
- 2024
[j39]Benjamin Filtjens
, Bart Vanrumste, Peter Slaets:
Skeleton-Based Action Segmentation With Multi-Stage Spatial-Temporal Graph Convolutional Neural Networks. IEEE Trans. Emerg. Top. Comput. 12(1): 202-212 (2024)- [j38]Chunzhuo Wang, T. Sunil Kumar, Walter De Raedt, Guido Camps, Hans Hallez, Bart Vanrumste:
Eat-Radar: Continuous Fine-Grained Intake Gesture Detection Using FMCW Radar and 3D Temporal Convolutional Network With Attention. IEEE J. Biomed. Health Informatics 28(2): 1000-1011 (2024) - [j37]Chunzhuo Wang, Talluri Sunil Kumar, Walter De Raedt, Guido Camps, Hans Hallez, Bart Vanrumste:
Eating Speed Measurement Using Wrist-Worn IMU Sensors Towards Free-Living Environments. IEEE J. Biomed. Health Informatics 28(10): 5816-5828 (2024) - [c59]Chunzhuo Wang, T. Sunil Kumar, Walter De Raedt, Guido Camps, Hans Hallez, Bart Vanrumste:
Evaluation Metrics for Food Intake Activity Recognition Using Segment-Wise IoU. MeMeA 2024: 1-6 - [i10]Chunzhuo Wang, T. Sunil Kumar, Walter De Raedt, Guido Camps, Hans Hallez, Bart Vanrumste:
Eating Speed Measurement Using Wrist-Worn IMU Sensors in Free-Living Environments. CoRR abs/2401.05376 (2024) - [i9]Meng Shang, Lenore Dedeyne, Jolan Dupont, Laura Vercauteren, Nadjia Amini, Laurence Lapauw, Evelien Gielen, Sabine M. P. Verschueren, Carolina Varon, Walter De Raedt, Bart Vanrumste:
DS-MS-TCN: Otago Exercises Recognition with a Dual-Scale Multi-Stage Temporal Convolutional Network. CoRR abs/2402.02910 (2024) - [i8]Meng Shang, Lenore Dedeyne, Jolan Dupont, Laura Vercauteren, Nadjia Amini, Laurence Lapauw, Evelien Gielen, Sabine M. P. Verschueren, Carolina Varon, Walter De Raedt, Bart Vanrumste:
A Masked Semi-Supervised Learning Approach for Otago Micro Labels Recognition. CoRR abs/2405.12711 (2024) - 2023
- [c58]Chetanya Puri, Stijn Keyaerts, Maxwell Szymanski, Lode Godderis, Katrien Verbert, Stijn Luca, Bart Vanrumste:
Daily Pain Prediction in Workplace Using Gaussian Processes. HEALTHINF 2023: 239-247 - [c57]Benjamin Filtjens, Po-Kai Yang, Maaike Goris, Moran Gilat, Niklas Kempynck, Pieter Ginis, Alice Nieuwboer, Peter Slaets, Bart Vanrumste:
Automated freezing of gait assessment with deep learning and data augmentation from simulated inertial measurement unit data. BSN 2023: 1-4 - [c56]Chunzhuo Wang, Jiaze Kong, Yutong Cai, T. Sunil Kumar, Walter De Raedt, Guido Camps, Hans Hallez, Bart Vanrumste:
Intake Gesture Detection With IMU Sensor in Free-Living Environments: The Effects of Measuring Two-Hand Intake and Down-Sampling. BSN 2023: 1-4 - [i7]Meng Shang, Lenore Dedeyne, Jolan Dupont, Laura Vercauteren, Nadjia Amini, Laurence Lapauw, Evelien Gielen, Sabine M. P. Verschueren, Carolina Varon, Walter De Raedt, Bart Vanrumste:
Otago Exercises Monitoring for Older Adults by a Single IMU and Hierarchical Machine Learning Models. CoRR abs/2310.03512 (2023) - [i6]Meng Shang, Camilla De Bleecker, Jos Vanrenterghem, Roel De Ridder, Sabine M. P. Verschueren, Carolina Varon, Walter De Raedt, Bart Vanrumste:
A Multi-Stage Temporal Convolutional Network for Volleyball Jumps Classification Using a Waist-Mounted IMU. CoRR abs/2310.13097 (2023) - 2022
- [j36]Gert Dekkers, Fernando Rosas, Toon van Waterschoot, Bart Vanrumste, Peter Karsmakers:
Dynamic sensor activation and decision-level fusion in wireless acoustic sensor networks for classification of domestic activities. Inf. Fusion 77: 196-210 (2022) - [j35]Chetanya Puri, Gerben Kooijman, Bart Vanrumste, Stijn Luca:
Forecasting Time Series in Healthcare With Gaussian Processes and Dynamic Time Warping Based Subset Selection. IEEE J. Biomed. Health Informatics 26(12): 6126-6137 (2022) - [c55]Chunzhuo Wang, T. Sunil Kumar, Walter De Raedt, Guido Camps, Hans Hallez, Bart Vanrumste:
Drinking Gesture Detection Using Wrist-Worn IMU Sensors with Multi-Stage Temporal Convolutional Network in Free-Living Environments. EMBC 2022: 1778-1782 - [c54]Meng Shang, Walter De Raedt, Carolina Varon, Bart Vanrumste:
Are Gyroscopes an Added Value in Leave-One-Subject-Out Activity Recognition with IMUs? EMBC 2022: 2399-2402 - [i5]Benjamin Filtjens, Bart Vanrumste, Peter Slaets:
Skeleton-Based Action Segmentation with Multi-Stage Spatial-Temporal Graph Convolutional Neural Networks. CoRR abs/2202.01727 (2022) - [i4]Chunzhuo Wang, T. Sunil Kumar, Walter De Raedt, Guido Camps, Hans Hallez, Bart Vanrumste:
Eat-Radar: Continuous Fine-Grained Eating Gesture Detection Using FMCW Radar and 3D Temporal Convolutional Network. CoRR abs/2211.04253 (2022) - 2021
- [j34]Heereen Shim, Dietwig Lowet, Stijn Luca, Bart Vanrumste:
LETS: A Label-Efficient Training Scheme for Aspect-Based Sentiment Analysis by Using a Pre-Trained Language Model. IEEE Access 9: 115563-115578 (2021) - [j33]Yiyuan Zhang, Oluwatosin J. Babarinde, Pengxuan Han, Xiangyu Wang, Peter Karsmakers, Dominique M. M.-P. Schreurs, Sabine M. P. Verschueren, Bart Vanrumste:
Automatically Segmenting Physical Performance Test Items for Older Adults Using a Doppler Radar: A Proof of Concept Study. IEEE Access 9: 152765-152779 (2021) - [j32]Chetanya Puri, Gerben Kooijman, Felipe Masculo, Shannon Van Sambeek, Sebastiaan Den Boer, Jo Hua, Nan Huang, Henry Ma, Yafang Jin, Fan Ling, Guanghui Li, Dongtao Zhang, Xiaochun Wang, Stijn Luca, Bart Vanrumste:
A Personalized Bayesian Approach for Early Intervention in Gestational Weight Gain Management Toward Pregnancy Care. IEEE Access 9: 160946-160957 (2021) - [j31]Ahmed Youssef Ali Amer, Jean-Marie Aerts, Bart Vanrumste, Stijn Luca:
A Localized Learning Approach Applied to Human Activity Recognition. IEEE Intell. Syst. 36(3): 58-71 (2021) - [j30]Benjamin Filtjens, Pieter Ginis, Alice Nieuwboer, Muhammad Raheel Afzal, Joke Spildooren, Bart Vanrumste, Peter Slaets:
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. 21(1): 341 (2021) - [j29]Long Meng, Anjing Zhang, Chen Chen, Xingwei Wang, Xinyu Jiang, Linkai Tao, Jiahao Fan, Xuejiao Wu, Chenyun Dai, Yiyuan Zhang, Bart Vanrumste, Toshiyo Tamura, Wei Chen:
Exploration of Human Activity Recognition Using a Single Sensor for Stroke Survivors and Able-Bodied People. Sensors 21(3): 799 (2021) - [j28]Yiyuan Zhang, Ine D'Haeseleer, José Coelho, Vero Vanden Abeele, Bart Vanrumste:
Recognition of Bathroom Activities in Older Adults Using Wearable Sensors: A Systematic Review and Recommendations. Sensors 21(6): 2176 (2021) - [j27]Marc Mertens, Glen Debard, Jesse Davis, Els Devriendt, Koen Milisen, Jos Tournoy, Tom Croonenborghs, Bart Vanrumste:
Motion Sensor-Based Detection of Outlier Days Supporting Continuous Health Assessment for Single Older Adults. Sensors 21(18): 6080 (2021) - [j26]Melkamu Hunegnaw Asmare, Benjamin Filtjens, Frehiwot Woldehanna, Luc Janssens, Bart Vanrumste:
Rheumatic Heart Disease Screening Based on Phonocardiogram. Sensors 21(19): 6558 (2021) - [j25]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, Pieter M. Vandervoort, Jean-Marie Aerts, Bart Vanrumste:
Vital Signs Prediction for COVID-19 Patients in ICU. Sensors 21(23): 8131 (2021) - [c53]Heereen Shim, Dietwig Lowet, Stijn Luca, Bart Vanrumste:
Synthetic Data Generation and Multi-Task Learning for Extracting Temporal Information from Health-Related Narrative Text. W-NUT 2021: 260-273 - [c52]Melkamu Hunegnaw Asmare, Frehiwot Woldehanna, Luc Janssens, Bart Vanrumste:
Can Heart Sound Denoising be Beneficial in Phonocardiogram Classification Tasksƒ. EMBC 2021: 354-358 - [c51]Chetanya Puri, Gerben Kooijman, Xi Long, Paul Hamelmann, Sima Asvadi, Bart Vanrumste, Stijn Luca:
Feature selection for unbiased imputation of missing values: A case study in healthcare. EMBC 2021: 1911-1915 - [c50]Chetanya Puri, Koustabh Dolui, Gerben Kooijman, Felipe Masculo, Shannon Van Sambeek, Sebastiaan Den Boer, Sam Michiels, Hans Hallez, Stijn Luca, Bart Vanrumste:
Gestational weight gain prediction using privacy preserving federated learning. EMBC 2021: 2170-2174 - [c49]Meng Shang, Yiyuan Zhang, Ahmed Youssef Ali Amer, Ine D'Haeseleer, Bart Vanrumste:
Bathroom activities monitoring for older adults by a wrist-mounted accelerometer using a hybrid deep learning model. EMBC 2021: 7112-7115 - [i3]Benjamin Filtjens, Pieter Ginis, Alice Nieuwboer, Peter Slaets, Bart Vanrumste:
Automated freezing of gait assessment with marker-based motion capture and deep learning approaches expert-level detection. CoRR abs/2103.15449 (2021) - 2020
- [j24]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:
Vital Signs Prediction and Early Warning Score Calculation Based on Continuous Monitoring of Hospitalised Patients Using Wearable Technology. Sensors 20(22): 6593 (2020) - [j23]Gert Mertes, Li Ding, Wei Chen, Hans Hallez, Jie Jia, Bart Vanrumste:
Measuring and Localizing Individual Bites Using a Sensor Augmented Plate During Unrestricted Eating for the Aging Population. IEEE J. Biomed. Health Informatics 24(5): 1509-1518 (2020) - [c48]Ine D'Haeseleer, Nikki Dehennin, Bart Vanrumste, Peter Bernaers, Dominique Schreurs, Vero Vanden Abeele:
Designing a Tablet-Based Application for Self-Assessment Questionnaires with Nursing Home Residents. Conference on Designing Interactive Systems (Companion Volume) 2020: 55-60 - [c47]Koen Kicken, Tessa De Maesschalck, Bart Vanrumste, Tom De Keyser, Heereen Shim:
Intelligent Analyses on Storytelling for Impact Measurement. W-NUT@EMNLP 2020: 91-100 - [c46]Hannelore Strauven, Ine D'haeseleer, Kristof T'Jonck, Hans Hallez, Vero Vanden Abeele, Pieter Crombez, Bart Vanrumste:
Towards an Ambient Support System for Continence Management in Nursing Homes: An Exploratory Study. HEALTHINF 2020: 438-446 - [c45]Melkamu Hunegnaw Asmare, Frehiwot Woldehanna, Luc Janssens, Bart Vanrumste:
Automated Rheumatic Heart Disease Detection from Phonocardiogram in Cardiology Ward. HEALTHINF 2020: 839-844 - [c44]Melkamu Hunegnaw Asmare, Frehiwot Woldehanna, Luc Janssens, Bart Vanrumste:
Rheumatic Heart Disease Detection Using Deep Learning from Spectro-Temporal Representation of Un-segmented Heart Sounds. EMBC 2020: 168-171 - [c43]Yiyuan Zhang, Jorgen Wullems, Ine D'Haeseleer, Vero Vanden Abeele, Bart Vanrumste:
Bathroom activity monitoring for older adults via wearable device. ICHI 2020: 1-10 - [c42]Ine D'haeseleer, Dries Oeyen, Bart Vanrumste, Dominique Schreurs, Vero Vanden Abeele:
The Unacceptance of a Self-Management Health System by Healthy Older Adults. ICT4AWE 2020: 269-280 - [c41]Hannelore Strauven, Katta Spiel, Ine D'Haeseleer, Hans Hallez, Bart Vanrumste, Vero Vanden Abeele:
From Promoting Dignity to Installing Distrust: Understanding the Role of Continence Care Technology in Nursing Homes. NordiCHI 2020: 38:1-38:11 - [c40]Heereen Shim, Stijn Luca, Dietwig Lowet, Bart Vanrumste:
Data augmentation and semi-supervised learning for deep neural networks-based text classifier. SAC 2020: 1119-1126
2010 – 2019
- 2019
- [c39]Ine D'haeseleer, Kathrin Gerling, Dominique Schreurs, Bart Vanrumste, Vero Vanden Abeele:
Ageing is Not a Disease: Pitfalls for the Acceptance of Self-Management Health Systems Supporting Healthy Ageing. ASSETS 2019: 286-298 - [c38]Gert Mertes, Li Ding, Wei Chen, Hans Hallez, Jie Jia, Bart Vanrumste:
Quantifying Eating Behavior With a Smart Plate in Patients With Arm Impairment After Stroke. BHI 2019: 1-4 - [c37]Marc Mertens, Julie Raepsaet, Glen Debard, Mieke Mondelaers, Bart Vanrumste, Jesse Davis:
Use of wearable technology to quantify fall risk in psychogeriatric environments: a feasability study. EMBC 2019: 3187-3190 - [c36]Chetanya Puri, Gerben Kooijman, Felipe Masculo, Shannon Van Sambeek, Sebastiaan Den Boer, Stijn Luca, Bart Vanrumste:
PREgDICT : Early prediction of gestational weight gain for pregnancy care. EMBC 2019: 4274-4278 - [c35]Chetanya Puri, Koustabh Dolui, Gerben Kooijman, Felipe Masculo, Shannon Van Sambeek, Sebastiaan Den Boer, Sam Michiels, Hans Hallez, Stijn Luca, Bart Vanrumste:
Privacy preserving pregnancy weight gain management: demo abstract. SenSys 2019: 398-399 - 2018
- [c34]Gert Mertes, Glenn Christiaensen, Hans Hallez, Sammy Verslype, Wei Chen, Bart Vanrumste:
Measuring weight and location of individual bites using a sensor augmented smart plate. EMBC 2018: 5558-5561 - [c33]Robin Amsters, Ali Bin Junaid, Nick Damen, Jeroen Van de Laer, Benjamin Filtjens, Bart Vanrumste, Peter Slaets:
Dynamic Gait Monitoring Mobile Platform. ICT4AWE 2018: 49-61 - [c32]Benjamin Filtjens, Robin Amsters, Ali Bin Junaid, Nick Damen, Jeroen Van de Laer, Benedicte Vanwanseele, Bart Vanrumste, Peter Slaets:
Vision-Based Marker-Less Spatiotemporal Gait Analysis by Using a Mobile Platform: Preliminary Validation. ICT4AgeingWell (Selected Papers) 2018: 126-141 - [i2]Gert Dekkers, Lode Vuegen, Toon van Waterschoot, Bart Vanrumste, Peter Karsmakers:
DCASE 2018 Challenge - Task 5: Monitoring of domestic activities based on multi-channel acoustics. CoRR abs/1807.11246 (2018) - [i1]Gert Dekkers, Fernando Rosas, Steven Lauwereins, Sreeraj Rajendran, Sofie Pollin, Bart Vanrumste, Toon van Waterschoot, Marian Verhelst, Peter Karsmakers:
A multi-layered energy consumption model for smart wireless acoustic sensor networks. CoRR abs/1812.06672 (2018) - 2017
- [j22]Glen Debard, Marc Mertens, Toon Goedemé, Tinne Tuytelaars, Bart Vanrumste:
Three Ways to Improve the Performance of Real-Life Camera-Based Fall Detection Systems. J. Sensors 2017: 8241910:1-8241910:15 (2017) - [j21]Milica Milosevic, Anouk Van de Vel, Kris Cuppens, Bert Bonroy, Berten Ceulemans, Lieven Lagae, Bart Vanrumste, Sabine Van Huffel:
Feature selection methods for accelerometry-based seizure detection in children. Medical Biol. Eng. Comput. 55(1): 151-165 (2017) - [c31]Gert Dekkers, Steven Lauwereins, Bart Thoen, Mulu Weldegebreal Adhana, Henk Brouckxon, Bertold Van den Bergh, Toon van Waterschoot, Bart Vanrumste, Marian Verhelst, Peter Karsmakers:
The SINS Database for Detection of Daily Activities in a Home Environment Using an Acoustic Sensor Network. DCASE 2017: 32-36 - [c30]Greet Baldewijns, Glen Debard, Gert Mertes, Tom Croonenborghs, Bart Vanrumste:
Improving the accuracy of existing camera based fall detection algorithms through late fusion. EMBC 2017: 2667-2671 - [c29]Gert Mertes, Hans Hallez, Bart Vanrumste, Tom Croonenborghs:
Detection of chewing motion in the elderly using a glasses mounted accelerometer in a real-life environment. EMBC 2017: 4521-4524 - 2016
- [j20]Glen Debard, Marc Mertens, Mieke Deschodt, Ellen Vlaeyen, Els Devriendt, Eddy Dejaeger, Koen Milisen, Jos Tournoy, Tom Croonenborghs, Toon Goedemé, Tinne Tuytelaars, Bart Vanrumste:
Camera-based fall detection using real-world versus simulated data: How far are we from the solution? J. Ambient Intell. Smart Environ. 8(2): 149-168 (2016) - [j19]Greet Baldewijns, Veerle Claes, Glen Debard, Marc Mertens, Els Devriendt, Koen Milisen, Jos Tournoy, Tom Croonenborghs, Bart Vanrumste:
Automated in-home gait transfer time analysis using video cameras. J. Ambient Intell. Smart Environ. 8(3): 273-286 (2016) - [j18]Bert Van Den Broeck, Peter Karsmakers, Hugo Van hamme, Bart Vanrumste:
Noise robust footstep location estimation using a wireless acoustic sensor network. J. Ambient Intell. Smart Environ. 8(6): 665-679 (2016) - [j17]Stijn Luca, David A. Clifton, Bart Vanrumste:
One-class classification of point patterns of extremes. J. Mach. Learn. Res. 17: 191:1-191:21 (2016) - [j16]Jorge Oswaldo Niño Castañeda, Andrés Frias-Velázquez, Nyan Bo Bo, Maarten Slembrouck, Junzhi Guan, Glen Debard, Bart Vanrumste, Tinne Tuytelaars, Wilfried Philips:
Scalable Semi-Automatic Annotation for Multi-Camera Person Tracking. IEEE Trans. Image Process. 25(5): 2259-2274 (2016) - [j15]Milica Milosevic, Anouk Van de Vel, Bert Bonroy, Berten Ceulemans, Lieven Lagae, Bart Vanrumste, Sabine Van Huffel:
Automated Detection of Tonic-Clonic Seizures Using 3-D Accelerometry and Surface Electromyography in Pediatric Patients. IEEE J. Biomed. Health Informatics 20(5): 1333-1341 (2016) - 2015
- [c28]Gert Mertes, Greet Baldewijns, Pieter-Jan Dingenen, Tom Croonenborghs, Bart Vanrumste:
Automatic Fall Risk Estimation using the Nintendo Wii Balance Board. HEALTHINF 2015: 75-81 - [c27]Thomas De Cooman, Anouk Van de Vel, Berten Ceulemans, Lieven Lagae, Wim Van Paesschen, Bart Vanrumste, Sabine Van Huffel:
Estimation of the Maximal Heart Rate to Improve Online Tonic-Clonic Seizure Detection using ECG. CinC 2015: 977-980 - [c26]Lode Vuegen, Bert Van Den Broeck, Peter Karsmakers, Hugo Van hamme, Bart Vanrumste:
Monitoring activities of daily living using Wireless Acoustic Sensor Networks in clean and noisy conditions. EMBC 2015: 4966-4969 - [c25]Steven Puttemans, Greet Baldewijns, Tom Croonenborghs, Bart Vanrumste, Toon Goedemé:
Automated walking aid detector based on indoor video recordings. EMBC 2015: 5040-5045 - [c24]Greet Baldewijns, Stijn Luca, William Nagels, Bart Vanrumste, Tom Croonenborghs:
Automatic detection of health changes using statistical process control techniques on measured transfer times of elderly. EMBC 2015: 5046-5049 - [c23]Thomas De Cooman, Anouk Van de Vel, Berten Ceulemans, Lieven Lagae, Bart Vanrumste, Sabine Van Huffel:
Online detection of tonic-clonic seizures in pediatric patients using ECG and low-complexity incremental novelty detection. EMBC 2015: 5597-5600 - [c22]Glen Debard, Greet Baldewijns, Toon Goedemé, Tinne Tuytelaars, Bart Vanrumste:
Camera-based fall detection using a particle filter. EMBC 2015: 6947-6950 - [c21]Lode Vuegen, Bert Van Den Broeck, Peter Karsmakers, Hugo Van hamme, Bart Vanrumste:
Energy efficient monitoring of activities of daily living using wireless acoustic sensor networks in clean and noisy conditions. EUSIPCO 2015: 449-453 - [c20]Ninah Koolen, Olivier Decroupet, Anneleen Dereymaeker, Katrien Jansen, Jan Vervisch, Vladimir Matic, Bart Vanrumste, Gunnar Naulaers, Sabine Van Huffel, Maarten De Vos:
Automated Respiration Detection from Neonatal Video Data. ICPRAM (2) 2015: 164-169 - [c19]Gert Dekkers, Toon van Waterschoot, Bart Vanrumste, Bert Van Den Broeck, Jort F. Gemmeke, Hugo Van hamme, Peter Karsmakers:
A multi-channel speech enhancement framework for robust NMF-based speech recognition for speech-impaired users. INTERSPEECH 2015: 746-750 - 2014
- [j14]Stijn Luca, Peter Karsmakers, Kris Cuppens, Tom Croonenborghs, Anouk Van de Vel, Berten Ceulemans, Lieven Lagae, Sabine Van Huffel, Bart Vanrumste:
Detecting rare events using extreme value statistics applied to epileptic convulsions in children. Artif. Intell. Medicine 60(2): 89-96 (2014) - [j13]Kris Cuppens, Peter Karsmakers, Anouk Van de Vel, Bert Bonroy, Milica Milosevic, Stijn Luca, Tom Croonenborghs, Berten Ceulemans, Lieven Lagae, Sabine Van Huffel, Bart Vanrumste:
Accelerometry-Based Home Monitoring for Detection of Nocturnal Hypermotor Seizures Based on Novelty Detection. IEEE J. Biomed. Health Informatics 18(3): 1026-1033 (2014) - [c18]E. Cuartas-Morales, Hans Hallez, Bart Vanrumste, Germán Castellanos-Domínguez:
Three-layer-isotropic skull conductivity representation in the EEG forward problem using spherical head models. EMBC 2014: 4904-4907 - [c17]Greet Baldewijns, Geert Verheyden, Bart Vanrumste, Tom Croonenborghs:
Validation of the kinect for gait analysis using the GAITRite walkway. EMBC 2014: 5920-5923 - [c16]Stijn Luca, Peter Karsmakers, Bart Vanrumste:
Anomaly Detection Using the Poisson Process Limit for Extremes. ICDM 2014: 370-379 - [c15]Milica Milosevic, Anouk Van de Vel, Bert Bonroy, Berten Ceulemans, Lieven Lagae, Bart Vanrumste, Sabine Van Huffel:
Detection of epileptic convulsions from accelerometry signals through machine learning approach. MLSP 2014: 1-6 - 2013
- [c14]Kris Cuppens, Peter Karsmakers, Anouk Van de Vel, Bert Bonroy, Milica Milosevic, Lieven Lagae, Berten Ceulemans, Sabine Van Huffel, Bart Vanrumste:
Handling Unbalanced Data in Nocturnal Epileptic Seizure Detection using Accelerometers. ICPRAM 2013: 447-452 - [c13]Jort F. Gemmeke, Bart Ons, Netsanet M. Tessema, Hugo Van hamme, Janneke van de Loo, Guy De Pauw, Walter Daelemans, Jonathan Huyghe, Jan Derboven, Lode Vuegen, Bert Van Den Broeck, Peter Karsmakers, Bart Vanrumste:
Self-taught assistive vocal interfaces: an overview of the ALADIN project. INTERSPEECH 2013: 2039-2043 - [c12]Lode Vuegen, Bert Van Den Broeck, Peter Karsmakers, Hugo Van hamme, Bart Vanrumste:
Automatic Monitoring of Activities of Daily Living based on Real-life Acoustic Sensor Data: a~preliminary study. SLPAT 2013: 113-118 - [c11]Jort F. Gemmeke, Lode Vuegen, Peter Karsmakers, Bart Vanrumste, Hugo Van hamme:
An exemplar-based NMF approach to audio event detection. WASPAA 2013: 1-4 - 2012
- [j12]Bogdan Mijovic, Katrien Vanderperren, Nikolay Novitskiy, Bart Vanrumste, Peter Stiers, Bea Van den Bergh, Lieven Lagae, Stefan Sunaert, Johan Wagemans, Sabine Van Huffel, Maarten De Vos:
The "why" and "how" of JointICA: Results from a visual detection task. NeuroImage 60(2): 1171-1185 (2012) - [c10]Kris Cuppens, Bert Bonroy, Anouk Van de Vel, Berten Ceulemans, Lieven Lagae, Tinne Tuytelaars, Sabine Van Huffel, Bart Vanrumste:
Automatic Video Detection of Nocturnal Epileptic Movement based on Motion Tracks. BIOSIGNALS 2012: 342-345 - [c9]Kris Cuppens, Chih-Wei Chen, Kevin Bing-Yung Wong, Anouk Van de Vel, Lieven Lagae, Berten Ceulemans, Tinne Tuytelaars, Sabine Van Huffel, Bart Vanrumste, Hamid K. Aghajan:
Using spatio-temporal interest points (STIP) for myoclonic jerk detection in nocturnal video. EMBC 2012: 4454-4457 - [c8]Kris Cuppens, Chih-Wei Chen, Kevin Bing-Yung Wong, Anouk Van de Vel, Lieven Lagae, Berten Ceulemans, Tinne Tuytelaars, Sabine Van Huffel, Bart Vanrumste, Hamid K. Aghajan:
Integrating video and accelerometer signals for nocturnal epileptic seizure detection. ICMI 2012: 161-164 - 2011
- [j11]Joost van Hoof, Eveline J. M. Wouters, Hannah Ramsden Marston, Bart Vanrumste, R. A. Overdiep:
Ambient Assisted Living and Care in The Netherlands: The Voice of the User. Int. J. Ambient Comput. Intell. 3(4): 25-40 (2011) - [j10]Nikolay Novitskiy, Jennifer R. Ramautar, Katrien Vanderperren, Maarten De Vos, Maarten Mennes, Bogdan Mijovic, Bart Vanrumste, Peter Stiers, Bea Van den Bergh, Lieven Lagae, Stefan Sunaert, Sabine Van Huffel, Johan Wagemans:
The BOLD correlates of the visual P1 and N1 in single-trial analysis of simultaneous EEG-fMRI recordings during a spatial detection task. NeuroImage 54(2): 824-835 (2011) - [c7]Glen Debard, Peter Karsmakers, Mieke Deschodt, Ellen Vlaeyen, Jonas Van Den Bergh, Eddy Dejaeger, Koen Milisen, Toon Goedemé, Tinne Tuytelaars, Bart Vanrumste:
Camera Based Fall Detection Using Multiple Features Validated with Real Life Video. Intelligent Environments (Workshops) 2011: 441-450 - [c6]Glen Debard, Peter Karsmakers, Mieke Deschodt, Ellen Vlaeyen, Eddy Dejaeger, Koen Milisen, Toon Goedemé, Bart Vanrumste, Tinne Tuytelaars:
Camera-Based Fall Detection on Real World Data. Theoretical Foundations of Computer Vision 2011: 356-375 - 2010
- [j9]Pieter Schiepers, Bert Bonroy, Greet Leysens, Dragana Miljkovic, Lieven De Maesschalck, Stijn Quanten, Bart Vanrumste, Daniel Berckmans:
On-site electronic observational assessment tool for discomfort and pain. Comput. Methods Programs Biomed. 99(1): 34-42 (2010) - [j8]Kris Cuppens, Lieven Lagae, Berten Ceulemans, Sabine Van Huffel, Bart Vanrumste:
Automatic video detection of body movement during sleep based on optical flow in pediatric patients with epilepsy. Medical Biol. Eng. Comput. 48(9): 923-931 (2010) - [j7]Katrien Vanderperren, Maarten De Vos, Jennifer R. Ramautar, Nikolay Novitskiy, Maarten Mennes, Sara Assecondi, Bart Vanrumste, Peter Stiers, Bea Van den Bergh, Johan Wagemans, Lieven Lagae, Stefan Sunaert, Sabine Van Huffel:
Removal of BCG artifacts from EEG recordings inside the MR scanner: A comparison of methodological and validation-related aspects. NeuroImage 50(3): 920-934 (2010) - [j6]Maarten De Vos, Stéphanie Riès, Katrien Vanderperren, Bart Vanrumste, Francois-Xavier Alario, Sabine Van Huffel, Borís Burle:
Removal of Muscle Artifacts from EEG Recordings of Spoken Language Production. Neuroinformatics 8(2): 135-150 (2010) - [j5]Maarten De Vos, Stéphanie Riès, Katrien Vanderperren, Bart Vanrumste, Francois-Xavier Alario, Sabine Van Huffel, Borís Burle:
Erratum to: Removal of Muscle Artifacts from EEG Recordings of Spoken Language Production. Neuroinformatics 8(3): 155 (2010) - [c5]Kris Cuppens, Bart Vanrumste, Berten Ceulemans, Lieven Lagae, Sabine Van Huffel:
Detection of Epileptic Seizures Using Video Data. Intelligent Environments 2010: 372-373
2000 – 2009
- 2009
- [j4]Katrina Wendel, Outi Väisänen, Jaakko Malmivuo, Nevzat Guneri Gencer, Bart Vanrumste, Piotr J. Durka, Ratko Magjarevic, Selma Supek, Mihail Lucian Pascu, Hugues Fontenelle, Rolando Grave de Peralta Menendez:
EEG/MEG Source Imaging: Methods, Challenges, and Open Issues. Comput. Intell. Neurosci. 2009: 656092:1-656092:12 (2009) - 2007
- [j3]Maarten De Vos, Lieven De Lathauwer, Bart Vanrumste, Sabine Van Huffel, Wim Van Paesschen:
Canonical Decomposition of Ictal Scalp EEG and Accurate Source Localisation: Principles and Simulation Study. Comput. Intell. Neurosci. 2007 (2007) - 2006
- [j2]Wim De Clercq, Anneleen Vergult, Bart Vanrumste, Wim Van Paesschen, Sabine Van Huffel:
Canonical Correlation Analysis Applied to Remove Muscle Artifacts From the Electroencephalogram. IEEE Trans. Biomed. Eng. 53(12): 2583-2587 (2006) - [c4]Hans Hallez, Anneleen Vergult, Ronald Phlypo, Peter Van Hese, Wim De Clercq, Yves D'Asseler, Rik Van de Walle, Bart Vanrumste, Wim Van Paesschen, Sabine Van Huffel, Ignace Lemahieu:
Muscle and eye movement artifact removal prior to EEG source localization. EMBC 2006: 1002-1005 - 2005
- [j1]Wim De Clercq, Bart Vanrumste, Jean-Michel Papy, Wim Van Paesschen, Sabine Van Huffel:
Modeling common dynamics in multichannel signals with applications to artifact and background removal in EEG recordings. IEEE Trans. Biomed. Eng. 52(12): 2006-2015 (2005) - 2002
- [c3]Marcus Mohr, Bart Vanrumste:
Comparing the Performance of Solvers for a Bioelectric Field Problem. International Conference on Computational Science (2) 2002: 528-537 - 2000
- [c2]Gert Van Hoey, Bart Vanrumste, Rik Van de Walle, Paul Boon, Ignace Lemahieu, Michel D'Have, Kristl Vonck:
Detection and localization of epileptic brain activity using an artificial neural network for dipole source analysis. EUSIPCO 2000: 1-4 - [c1]Jan Sijbers, Bart Vanrumste, Gert Van Hoey, Paul Boon, Marleen Verhoye, Annemarie van der Linden, Dirk Van Dyck:
Automatic detection of EEG electrode markers on 3D MR data. Medical Imaging: Image Processing 2000
Coauthor Index
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