3 papers
cs.LG2026
Enhancing Robustness of Asynchronous EEG-Based Movement Prediction using Classifier Ensembles
Niklas Kueper, Kartik Chari, Elsa Andrea Kirchner
Objective: Stroke is one of the leading causes of disabilities. One promising approach is to extend the rehabilitation with self-initiated robot-assisted movement therapy. To enabl…
eess.SP2024
EEG classifier cross-task transfer to avoid training sessions in robot-assisted rehabilitation
Niklas Kueper, Su Kyoung Kim, Elsa Andrea Kirchner
Background: For an individualized support of patients during rehabilitation, learning of individual machine learning models from the human electroencephalogram (EEG) is required. O…
cs.HC2023
EEG and EMG dataset for the detection of errors introduced by an active orthosis device
Niklas Kueper, Kartik Chari, Judith Bütefür +6
This paper presents a dataset containing recordings of the electroencephalogram (EEG) and the electromyogram (EMG) from eight subjects who were assisted in moving their right arm b…