Automatic quality classification of entire electrocardiographic recordings obtained with a novel patch type recorder. - Dorthe B. Saadi; Karsten Hoppe; Kenneth Egstrup; Poul Jennum; Helle K. Iversen; Jorgen L. Jeppesen; Helge B. D. Sørensen (EMBC, 2014)

Motor Imagery based Brain Computer Interface Paradigm for Upper Limb Stroke Rehabilitation. - Helle K. Iversen; Sadasivan Puthusserypady (EMBC, 2018)

A Deep Learning MI - EEG Classification Model for BCIs. - Hauke Dose; Jakob S. Møller; Sadasivan Puthusserypady; Helle K. Iversen (EUSIPCO, 2018)

Adaptive CSP for User Independence in MI-BCI Paradigm for Upper Limb Stroke Rehabilitation. - Ana P. Costa; Jakob S. Møller; Helle K. Iversen; Sadasivan Puthusserypady (GlobalSIP, 2018)

An adaptive CSP filter to investigate user independence in a 3-class MI-BCI paradigm. - Ana P. Costa; Jakob S. Møller; Helle K. Iversen; Sadasivan Puthusserypady (Comput. Biol. Medicine, 2018)

An end-to-end deep learning approach to MI-EEG signal classification for BCIs. - Hauke Dose; Jakob S. Møller; Helle K. Iversen; Sadasivan Puthusserypady (Expert Syst. Appl., 2018)

Brain Computer Interface for Neuro-rehabilitation With Deep Learning Classification and Virtual Reality Feedback. - Tamás Karácsony; John Paulin Hansen; Helle Klingenberg Iversen; Sadasivan Puthusserypady (AH, 2019)

An Efficient Multi-Class MI Based BCI Scheme Using Statistical Fusion Techniques of Classifiers. - Paula Sánchez López; Helle K. Iversen; Sadasivan Puthusserypady (TENCON, 2019)

FBCSP and Adaptive Boosting for Multiclass Motor Imagery BCI Data Classification: A Machine Learning Approach. - Rig Das; Paula Sánchez López; Muhammad Ahmed Khan; Helle K. Iversen; Sadasivan Puthusserypady (SMC, 2020)

Review on motor imagery based BCI systems for upper limb post-stroke neurorehabilitation: From designing to application. - Muhammad Ahmed Khan; Rig Das; Helle K. Iversen; Sadasivan Puthusserypady (Comput. Biol. Medicine, 2020)