World's Best Scientists 2026 revealed!
Bart Vanrumste

Bart Vanrumste

D-Index & Metrics

Neuroscience

D-Index
37
Citations
7054
World Ranking
8727
National Ranking
104

Computer Science

D-Index
37
Citations
7062
World Ranking
10606
National Ranking
101

Overview

Bart Vanrumste is affiliated with KU Leuven in Belgium and conducts research primarily in the fields of Medicine and Computer Science. Their work intersects several subfields including Biomedical Engineering, Computer Vision and Pattern Recognition, Artificial Intelligence, Physical Therapy, Sports Therapy and Rehabilitation, and Physiology.

The scientist's research portfolio includes a focus on several key topics relevant to both healthcare and computing technologies. These include:

  • Context-Aware Activity Recognition Systems
  • Balance, Gait, and Falls Prevention
  • Gait Recognition and Analysis
  • Human Pose and Action Recognition
  • Non-Invasive Vital Sign Monitoring
  • Hand Gesture Recognition Systems
  • Advanced Chemical Sensor Technologies

Bart Vanrumste has contributed to various peer-reviewed publications, publishing several papers from 2020 to 2022 in notable venues. Selected recent papers are:

  • "Skeleton-Based Action Segmentation With Multi-Stage Spatial-Temporal Graph Convolutional Neural Networks," 2022, IEEE Transactions on Emerging Topics in Computing
  • "Automated freezing of gait assessment with marker-based motion capture and multi-stage spatial-temporal graph convolutional neural networks," 2022, Journal of NeuroEngineering and Rehabilitation
  • "Exploration of Human Activity Recognition Using a Single Sensor for Stroke Survivors and Able-Bodied People," 2021, Sensors
  • "A data-driven approach for detecting gait events during turning in people with Parkinson's disease and freezing of gait," 2020, Gait & Posture
  • "Vital Signs Prediction and Early Warning Score Calculation Based on Continuous Monitoring of Hospitalised Patients Using Wearable Technology," 2020, Sensors

The scientist frequently publishes in venues such as arXiv (Cornell University), Sensors, IEEE Transactions on Neural Systems and Rehabilitation Engineering, bioRxiv (Cold Spring Harbor Laboratory), and IEEE Access.

Collaboration is a significant aspect of Bart Vanrumste's work, with frequent coauthors including Benjamin Filtjens, W. De Raedt, Peter Slaets, Carolina Varon, and Alice Nieuwboer. Notably, the coauthor Benjamin Filtjens has collaborated on 19 publications, indicating an extensive research partnership.

Best Publications

  • Review on solving the inverse problem in EEG source analysis

    Roberta Grech;Tracey A. Cassar;Joseph Muscat;Kenneth P. Camilleri

  • Review on solving the forward problem in EEG source analysis

    Hans Hallez;Bart Vanrumste;Bart Vanrumste;Roberta Grech;Joseph Muscat

  • Canonical Correlation Analysis Applied to Remove Muscle Artifacts From the Electroencephalogram

    Wim De Clercq;A. Vergult;B. Vanrumste;W. Van Paesschen

  • EEG/MEG source imaging: methods, challenges, and open issues

    Katrina Wendel;Outi Väisänen;Jaakko Malmivuo;Nevzat G. Gencer

  • Removal of Muscle Artifacts from EEG Recordings of Spoken Language Production

    De Maarten Vos;Stephanie Riès;Katrien Vanderperren;Bart Vanrumste;Bart Vanrumste

  • Validation of ICA as a tool to remove eye movement artifacts from EEG/ERP

    Maarten Mennes;Heidi Wouters;Bart Vanrumste;Bart Vanrumste;Lieven Lagae

  • Non-EEG seizure detection systems and potential SUDEP prevention: State of the art: Review and update

    Anouk Van de Vel;Kris Cuppens;Bert Bonroy;Milica Milosevic

  • A finite difference method with reciprocity used to incorporate anisotropy in electroencephalogram dipole source localization

    Hans Hallez;Hans Hallez;Bart Vanrumste;Peter Van Hese;Peter Van Hese;Yves D'Asseler

  • Non-EEG seizure-detection systems and potential SUDEP prevention: State of the art

    Anouk Van de Vel;Kris Cuppens;Kris Cuppens;Bert Bonroy;Milica Milosevic;Milica Milosevic

  • An exemplar-based NMF approach to audio event detection

    Jort F. Gemmeke;Lode Vuegen;Peter Karsmakers;Bart Vanrumste

  • Improving the Interpretation of Ictal Scalp EEG: BSS–CCA Algorithm for Muscle Artifact Removal

    Anneleen Vergult;Wim De Clercq;André Palmini;Bart Vanrumste

  • Removal of BCG artifacts from EEG recordings inside the MR scanner: a comparison of methodological and validation-related aspects.

    Katrien Vanderperren;Maarten De Vos;Jennifer R. Ramautar;Nikolay Novitskiy

  • Dipole location errors in electroencephalogram source analysis due to volume conductor model errors.

    Bart Vanrumste;Bart Vanrumste;G Van Hoey;G Van Hoey;R Van de Walle;M D'Have

  • The SINS database for detection of daily activities in a home environment using an Acoustic Sensor Network

    Gert Dekkers;Steven Lauwereins;Bart Thoen;Mulu Weldegebreal Adhana

  • The validation of the finite difference method and reciprocity for solving the inverse problem in EEG dipole source analysis

    Bart Vanrumste;Bart Vanrumste;Gert Van Hoey;Gert Van Hoey;Rik Van de Walle;Michel R.P. D'Havè

  • Dipole estimation errors due to differences in modeling anisotropic conductivities in realistic head models for EEG source analysis.

    Hans Hallez;Bart Vanrumste;Peter Van Hese;Steven Delputte

  • The BOLD correlates of the visual P1 and N1 in single-trial analysis of simultaneous EEG-fMRI recordings during a spatial detection task

    N. Novitskiy;J.R. Ramautar;K. Vanderperren;M. de Vos

  • Automated Detection of Tonic–Clonic Seizures Using 3-D Accelerometry and Surface Electromyography in Pediatric Patients

    Milica Milosevic;Anouk Van de Vel;Bert Bonroy;Berten Ceulemans

  • Ictal source localization in presurgical patients with refractory epilepsy

    Paul Boon;Michel D’Havé;Bart Vanrumste;Gert Van Hoey

  • Canonical decomposition of ictal scalp EEG and accurate source localisation: principles and simulation study

    Maarten De Vos;Lieven De Lathauwer;Bart Vanrumste;Sabine Van Huffel

  • Detection of nocturnal frontal lobe seizures in pediatric patients by means of accelerometers: A first study

    Kris Cuppens;Lieven Lagae;Berten Ceulemans;Sabine Van Huffel

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