NeuroKinect: A Novel Low-Cost 3Dvideo-EEG System for Epileptic Seizure Motion Quantification-Reference-Cited by-同舟云学术

NeuroKinect: A Novel Low-Cost 3Dvideo-EEG System for Epileptic Seizure Motion Quantification

Published:2016-01-22 Issue:1 Volume:11 Page:e0145669
ISSN:1932-6203
Container-title:PLOS ONE
language:en
Short-container-title:PLoS ONE

Author:

Cunha João Paulo Silva,Choupina Hugo Miguel Pereira,Rocha Ana Patrícia,Fernandes José Maria,Achilles Felix,Loesch Anna Mira,Vollmar Christian,Hartl Elisabeth,Noachtar Soheyl

Publisher

Public Library of Science (PLoS)

Subject

Multidisciplinary

Reference43 articles.

1. Semiology of epileptic seizures: a critical review;S Noachtar;Epilepsy & Behavior,2009

2. Li Z, da Silva AM, Cunha JPS. Movement quantification in epileptic seizures: a new approach to video-EEG analysis. In: Proceedings of XI International Congress of EMG and Clinical Neurophysiology—Clinical Neurophysiology, 110. vol. 1; 1999. p. 128.

3. Movement in epileptic seizures: a new approach to video-EEG analysis;Z Li;Biomedical Engineering, IEEE Transactions on,2002

4. Cunha JPS, Vollmar C, Li Z, Fernandes J, Feddersen B, Noachtar S. Movement quantification during epileptic seizures: a new technical contribution to the evaluation of seizure semiology. In: Engineering in Medicine and Biology Society, 2003. Proceedings of the 25th Annual International Conference of the IEEE. vol. 1. IEEE; 2003. p. 671–673.

5. Lateralizing significance of quantitative analysis of head movements before secondary generalization of seizures of patients with temporal lobe epilepsy;R O’Dwyer;Epilepsia,2007

Cited by 40 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Brain Anterior Nucleus of the Thalamus Signal as a Biomarker of Upper Voluntary Repetitive Movements in Epilepsy Patients;2024 IEEE 22nd Mediterranean Electrotechnical Conference (MELECON);2024-06-25

2. The Cadaver in the Machine: The Social Practices of Measurement and Validation in Motion Capture Technology;Proceedings of the CHI Conference on Human Factors in Computing Systems;2024-05-11

3. Deep learning approaches for seizure video analysis: A review;Epilepsy & Behavior;2024-05

4. On the Application of Human Pose Estimation in a Driver Condition Monitoring Task;2024 Systems of Signals Generating and Processing in the Field of on Board Communications;2024-03-12

5. Deep learning methods for single camera based clinical in-bed movement action recognition;Image and Vision Computing;2024-03