Anouk Van de Vel

According to our database1, Anouk Van de Vel authored at least 13 papers between 2012 and 2018.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2018
Comparison and combination of electrocardiogram, electromyogram and accelerometry for tonic-clonic seizure detection in children.
Proceedings of the 2018 IEEE EMBS International Conference on Biomedical & Health Informatics, 2018

2017
Feature selection methods for accelerometry-based seizure detection in children.
Medical Biol. Eng. Comput., 2017

Semi-Supervised One-Class Transfer Learning for Heart Rate Based Epileptic Seizure Detection.
Proceedings of the Computing in Cardiology, 2017

2016
Automated Detection of Tonic-Clonic Seizures Using 3-D Accelerometry and Surface Electromyography in Pediatric Patients.
IEEE J. Biomed. Health Informatics, 2016

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

Estimation of the Maximal Heart Rate to Improve Online Tonic-Clonic Seizure Detection using ECG.
Proceedings of the Computing in Cardiology, 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

2013
Handling Unbalanced Data in Nocturnal Epileptic Seizure Detection using Accelerometers.
Proceedings of the ICPRAM 2013, 2013

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


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