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Helle K. Iversen
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Journal Articles
- 2020
- [j3]Muhammad Ahmed Khan, Rig Das, Helle K. Iversen, Sadasivan Puthusserypady:
Review on motor imagery based BCI systems for upper limb post-stroke neurorehabilitation: From designing to application. Comput. Biol. Medicine 123: 103843 (2020) - 2018
- [j2]Ana P. Costa, Jakob S. Møller, Helle K. Iversen, Sadasivan Puthusserypady:
An adaptive CSP filter to investigate user independence in a 3-class MI-BCI paradigm. Comput. Biol. Medicine 103: 24-33 (2018) - [j1]Hauke Dose, Jakob S. Møller, Helle K. Iversen, Sadasivan Puthusserypady:
An end-to-end deep learning approach to MI-EEG signal classification for BCIs. Expert Syst. Appl. 114: 532-542 (2018)
Conference and Workshop Papers
- 2020
- [c7]Rig Das, Paula Sánchez López, Muhammad Ahmed Khan, Helle K. Iversen, Sadasivan Puthusserypady:
FBCSP and Adaptive Boosting for Multiclass Motor Imagery BCI Data Classification: A Machine Learning Approach. SMC 2020: 1275-1279 - 2019
- [c6]Tamás Karácsony, John Paulin Hansen, Helle Klingenberg Iversen, Sadasivan Puthusserypady:
Brain Computer Interface for Neuro-rehabilitation With Deep Learning Classification and Virtual Reality Feedback. AH 2019: 22:1-22:8 - [c5]Paula Sánchez López, Helle K. Iversen, Sadasivan Puthusserypady:
An Efficient Multi-Class MI Based BCI Scheme Using Statistical Fusion Techniques of Classifiers. TENCON 2019: 378-382 - 2018
- [c4]Helle K. Iversen, Sadasivan Puthusserypady:
Motor Imagery based Brain Computer Interface Paradigm for Upper Limb Stroke Rehabilitation. EMBC 2018: 1960-1963 - [c3]Hauke Dose, Jakob S. Møller, Sadasivan Puthusserypady, Helle K. Iversen:
A Deep Learning MI - EEG Classification Model for BCIs. EUSIPCO 2018: 1676-1679 - [c2]Ana P. Costa, Jakob S. Møller, Helle K. Iversen, Sadasivan Puthusserypady:
Adaptive CSP for User Independence in MI-BCI Paradigm for Upper Limb Stroke Rehabilitation. GlobalSIP 2018: 420-423 - 2014
- [c1]Dorthe B. Saadi, Karsten Hoppe, Kenneth Egstrup, Poul Jennum, Helle K. Iversen, Jorgen L. Jeppesen, Helge B. D. Sørensen:
Automatic quality classification of entire electrocardiographic recordings obtained with a novel patch type recorder. EMBC 2014: 5639-5642
Coauthor Index
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