Mads Jochumsen

发表

Decoding movement intentions from single-trial EEG

Mads Jochumsen, Astrid C. Nørgaard, Mads Nibe Stausholm, 2015 .

Detection and classification of single-trial movement-related cortical potentials associated with functional lower limb movements

Mads Jochumsen, Imran Khan Niazi, I. Niazi, 2020, Journal of neural engineering.

Using a Portable Device for Online Single-Trial MRCP Detection and Classification

Mads Jochumsen, Saad Rehman, Denise Taylor, 2015, IDEAL.

Effect of subject training on a movement-related cortical potential-based brain-computer interface

Mads Jochumsen, Kim Dremstrup, Rasmus Wiberg Nedergaard, 2018, Biomed. Signal Process. Control..

Designing a brain computer interface for control of an assistive robotic manipulator using steady state visually evoked potentials

Mads Jochumsen, Kim Dremstrup, Lotte N. S. Andreasen Struijk, 2019, 2019 IEEE 16th International Conference on Rehabilitation Robotics (ICORR).

Modeling and Control of Rehabilitation Robotic Device: motoBOTTE

Mads Jochumsen, Jimmy Lauber, Juan Carlos Arceo, 2018, Converging Clinical and Engineering Research on Neurorehabilitation III.

Decoding Attempted Hand Movements in Stroke Patients Using Surface Electromyography

Mads Jochumsen, Syed Omer Gilani, Asim Waris, 2020, Sensors.

Investigation of Optimal Afferent Feedback Modality for Inducing Neural Plasticity with A Self-Paced Brain-Computer Interface

Mads Jochumsen, Usman Rashid, Jimmy Lauber, 2018, Sensors.

Continuous 2D control via state-machine triggered by endogenous sensory discrimination and a fast brain switch

Mads Jochumsen, Ning Jiang, Strahinja Dosen, 2019, Journal of neural engineering.

A Multiday Evaluation of Real-Time Intramuscular EMG Usability with ANN

Winnie Jensen, Mads Jochumsen, Ernest Nlandu Kamavuako, 2020, Sensors.

Feature domain-specific movement intention detection for stroke rehabilitation with brain-computer interfaces

Mads Jochumsen, Imran Khan Niazi, Johannes Thorling Hadsund, 2016, 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Detection of movement-related cortical potentials based on subject-independent training

Dario Farina, Mads Jochumsen, Ning Jiang, 2013, Medical & Biological Engineering & Computing.

Evaluation of windowing techniques for intramuscular EMG-based diagnostic, rehabilitative and assistive devices

Mads Jochumsen, Syed Omer Gilani, Mohsin Jamil, 2020, Journal of neural engineering.

Transfer learning for electroencephalogram signals

Mads Jochumsen, Ali Hassan, Imran Khan Niazi, 2017 .

Detection and classification of movement-related cortical potentials associated with task force and speed

Mads Jochumsen, Kim Dremstrup, Natalie Mrachacz-Kersting, 2013, Journal of neural engineering.

Upper limb complex movements decoding from pre-movement EEG signals using wavelet common spatial patterns

Mads Jochumsen, Vahid Shalchyan, Imran Khan Niazi, 2020, Comput. Methods Programs Biomed..

Online detection and classification of movement kinetics

Mads Jochumsen, Kim Dremstrup, Rasmus Wiberg Nedergaard, 2014 .

The effect of detection time on movement intention detection

Mads Jochumsen, Ernest Nlandu Kamavuako, Kim Dremstrup, 2016, EMBC 2016.

Multi-Day Real-time Myoelectric Control using Intramuscular EMG

Mads Jochumsen, Ernest Nlandu Kamavuako, Imran Khan Niazi, 2019 .

Classification of Hand Grasp Kinetics and Types Using Movement-Related Cortical Potentials and EEG Rhythms

Mads Jochumsen, Ernest Nlandu Kamavuako, Kim Dremstrup, 2017, Comput. Intell. Neurosci..

The Aalborg Brain Computer Interface: a protocol for inducing neural plasticity

Mads Jochumsen, Kim Dremstrup, Denise Taylor, 2015 .

Decoding covert speech for intuitive control of brain-computer interfaces based on single-trial EEG: a feasibility study

Mads Jochumsen, Ernest Nlandu Kamavuako, R. L. Kæseler, 2019, 2019 IEEE 16th International Conference on Rehabilitation Robotics (ICORR).

Universal Matched-Filter Template Versus Individualized Template for Single Trial Detection of Movement Intentions of Different Tasks

Mads Jochumsen, Muhammad Shafique, Muhammad Akmal, 2016, Advances in Neural Networks.

Multiday EMG-Based Classification of Hand Motions with Deep Learning Techniques

Dario Farina, Mads Jochumsen, Ernest Nlandu Kamavuako, 2018, Sensors.

The effect of arm position on classification of hand gestures with intramuscular EMG

Mads Jochumsen, Ernest Nlandu Kamavuako, Asim Waris, 2018, Biomed. Signal Process. Control..

Use of Empirical Mode Decomposition for Classification of MRCP Based Task Parameters

Mads Jochumsen, Muhammad Junaid Khan, Kim Dremstrup, 2014, IDEAL.

Performance of Combined Surface and Intramuscular EMG for Classification of Hand Movements

Mads Jochumsen, Ernest Nlandu Kamavuako, Syed Omer Gilani, 2018, 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Dansk Anæstesi Database Dynamisk (DADDY)

Mads Jochumsen, Per Thorgaard, Anders A. Jensen, 2010 .

Automated Labeling of Movement- Related Cortical Potentials Using Segmented Regression

Mads Jochumsen, Usman Rashid, Denise Taylor, 2019, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

Combined effects of spinal manipulation and a brain computer interface based plasticity protocol on corticospinal excitability

Mads Jochumsen, Kim Dremstrup, Imran Khan Niazi, 2015 .

Detection and classification of tongue movements from single-trial EEG

Mads Jochumsen, R. L. Kæseler, Lotte N. S. Andreasen Struijk, 2020, 2020 IEEE 20th International Conference on Bioinformatics and Bioengineering (BIBE).

Tongue-Brain Computer Interface For Robotic Control

Mads Jochumsen, Lotte N. S. Andreasen Struijk, Rasmus Leck Kæseler, 2019 .

Effect of arm position on hand gesture classification using intramuscular EMG

Mads Jochumsen, Ernest Nlandu Kamavuako, Asim Waris, 2017 .

Classifying speed and force from movement intentions using entropy and a support vector machine

Dario Farina, Mads Jochumsen, Kim Dremstrup, 2013 .

Rehabilitation using a brain computer interface based on movement related cortical potentials: a review

Mads Jochumsen, Ning Jiang, Kim Dremstrup, 2014 .

Classification of error-related potentials from single-trial EEG in association with executed and imagined movements: a feature and classifier investigation

Mads Jochumsen, Kim Dremstrup, Imran Khan Niazi, 2020, Medical & Biological Engineering & Computing.

Classification of kinetics of movement for lower limb using covariate shift method for brain computer interface

Mads Jochumsen, Kim Dremstrup, Farhan Riaz, 2014, 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Quantifying motor learning from movement-related cortical potentials

Mads Jochumsen, Imran Khan Niazi, Helene Rovsing, 2016, EMBC 2016.

Detecting and classifying three different hand movement types through electroencephalography recordings for neurorehabilitation

Mads Jochumsen, Ernest Nlandu Kamavuako, Kim Dremstrup, 2015, Medical & Biological Engineering & Computing.

Comparison of spatial filters and features for the detection and classification of movement-related cortical potentials in healthy individuals and stroke patients

Mads Jochumsen, Ning Jiang, Kim Dremstrup, 2015, Journal of neural engineering.

The Aalborg Brain Computer Interface

Mads Jochumsen, Kim Dremstrup, Denise Taylor, 2015 .

A Review of Techniques for Detection of Movement Intention Using Movement-Related Cortical Potentials

Mads Jochumsen, Suleman Mazhar, Muhammad Nabeel Anwar, 2015, Comput. Math. Methods Medicine.

Convolutional Neural Networks Improve the Prediction of Hand Movement Speed and Force from Single-trial EEG

Mads Jochumsen, Yanina Atum, Luciano Schiaffino, 2019 .

An empirical study to remove noise from single-trial MRCP for movement intention detection

Mads Jochumsen, Kim Dremstrup, Saad Rehman, 2015, 2015 IEEE 28th Canadian Conference on Electrical and Computer Engineering (CCECE).

Comparison of Features for Movement Prediction from Single-Trial Movement-Related Cortical Potentials in Healthy Subjects and Stroke Patients

Mads Jochumsen, Ernest Nlandu Kamavuako, Kim Dremstrup, 2015, Comput. Intell. Neurosci..

Author response for "Decoding kinetic features of hand motor preparation from single‐trial EEG using convolutional neural networks"

Mads Jochumsen, Yanina Atum, José Biurrun Manresa, 2020 .

EEG Headset Evaluation for Detection of Single-Trial Movement Intention for Brain-Computer Interfaces

Preben Kidmose, Mads Jochumsen, Hendrik Knoche, 2020, Sensors.

Investigating the feasibility of combining EEG and EMG for controlling a hybrid human computer interface in patients with spinal cord injury

Mads Jochumsen, Sylvain Cremoux, Kasper Leerskov, 2020, 2020 IEEE 20th International Conference on Bioinformatics and Bioengineering (BIBE).

Decoding kinetic features of hand motor preparation from single‐trial EEG using convolutional neural networks

Mads Jochumsen, Yanina Atum, Luciano Schiaffino, 2020, The European journal of neuroscience.

Prediction of Hand Movement Speed and Force from Single-trial EEG with Convolutional Neural Networks

Mads Jochumsen, Yanina Atum, José Biurrun Manresa, 2018 .

Prediction of Hand Movement Speed and Force from Single-trial EEG with Convolutional Neural Networks

Mads Jochumsen, Yanina Atum, Ramiro Gatti, 2018, bioRxiv.

A Tensor-Based Method for Completion of Missing Electromyography Data

Mads Jochumsen, Ernest Nlandu Kamavuako, Syed Zubair, 2019, IEEE Access.

Processing movement related cortical potentials in EEG signals for identification of slow and fast movements

Mads Jochumsen, Kim Dremstrup, S. Rehman, 2014, 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Induction of Neural Plasticity Using a Low-Cost Open Source Brain-Computer Interface and a 3D-Printed Wrist Exoskeleton

Mads Jochumsen, Juan Carlos Arceo, R. L. Kæseler, 2021, Sensors.

Effect of Continuous and Discrete Feedback on Agency and Frustration in a Brain-Computer Interface Virtual Reality Interaction

Mads Jochumsen, Bastian Ilsø Hougaard, Hendrik Knoche, 2021, 2021 IEEE 21st International Conference on Bioinformatics and Bioengineering (BIBE).

Detection of Error-Related Potentials in Stroke Patients from EEG Using an Artificial Neural Network

Mads Jochumsen, Kim Dremstrup, Imran Khan Niazi, 2021, Sensors.

Decoding of Ankle Joint Movements in Stroke Patients Using Surface Electromyography

Mads Jochumsen, Syed Omer Gilani, Asim Waris, 2021, Sensors.

How can we help? Towards a design framework for performance-accommodation mechanisms for users struggling with input

Mads Jochumsen, Bastian Ilsø Hougaard, Hendrik Knoche, 2021, CHI PLAY.

Subject-Independent Detection of Movement-Related Cortical Potentials and Classifier Adaptation from Single-Channel EEG

Mads Jochumsen, Mads Jochumsen, 2020, Biosystems & Biorobotics.

Optimizing steady-state visual evoked potential classifiers for high performance and low computational costs in brain-computer interfacing

Mads Jochumsen, Lotte N. S. Andreasen Struijk, Rasmus Leck Kæseler, 2021, 2021 IEEE 21st International Conference on Bioinformatics and Bioengineering (BIBE).

EMG- Versus EEG-Triggered Electrical Stimulation for Inducing Corticospinal Plasticity

Mads Jochumsen, Usman Rashid, Heidi Haavik, 2019, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

Therapeutic effects of aerobic exercise on EEG parameters and higher cognitive functions in mild cognitive impairment patients

Mads Jochumsen, Muhammad Shafique, Imran Khan Niazi, 2019, The International journal of neuroscience.

Detecting and classifying movement-related cortical potentials associated with hand movements in healthy subjects and stroke patients from single-electrode, single-trial EEG

Dario Farina, Mads Jochumsen, Kim Dremstrup, 2015, Journal of neural engineering.

Paired Associative Stimulation Delivered by Pairing Movement‐Related Cortical Potentials With Peripheral Electrical Stimulation: An Investigation of the Duration of Neuromodulatory Effects

Mads Jochumsen, Denise Taylor, Imran Khan Niazi, 2018, Neuromodulation : journal of the International Neuromodulation Society.

Online multi-class brain-computer interface for detection and classification of lower limb movement intentions and kinetics for stroke rehabilitation

Dario Farina, Mads Jochumsen, Kim Dremstrup, 2015 .

Evaluation of EEG Headset Mounting for Brain-Computer Interface-Based Stroke Rehabilitation by Patients, Therapists, and Relatives

Preben Kidmose, Mads Jochumsen, Hendrik Knoche, 2020, Frontiers in Human Neuroscience.

Detection of Movement Intentions through a Single Channel of Electroencephalography

Dario Farina, Mads Jochumsen, Ning Jiang, 2014 .

Manipulation of Dysfunctional Spinal Joints Affects Sensorimotor Integration in the Prefrontal Cortex: A Brain Source Localization Study

Asbjørn Mohr Drewes, Mads Jochumsen, Kim Dremstrup, 2016, Neural plasticity.

Quantification of Movement-Related EEG Correlates Associated with Motor Training: A Study on Movement-Related Cortical Potentials and Sensorimotor Rhythms

Mads Jochumsen, Denise Taylor, Sylvain Cremoux, 2017, Front. Hum. Neurosci..

Pairing Voluntary Movement and Muscle-Located Electrical Stimulation Increases Cortical Excitability

Mads Jochumsen, Denise Taylor, Nada Signal, 2016, Front. Hum. Neurosci..

Changes in Corticospinal Excitability Following the Use of a BCI Based Protocol Combined with Sham Visual Feedback

Dario Farina, Mads Jochumsen, Ning Jiang, 2013 .