K. Dremstrup

发表

Detection of movement intention from single-trial movement-related cortical potentials

D. Farina, I. Niazi, N. Jiang, 2011, Journal of neural engineering.

A brain–computer interface for single-trial detection of gait initiation from movement related cortical potentials

D. Farina, N. Jiang, K. Dremstrup, 2015, Clinical Neurophysiology.

Efficient neuroplasticity induction in chronic stroke patients by an associative brain-computer interface.

A. Pavlovic, D. Farina, M. Djuric-Jovicic, 2016, Journal of neurophysiology.

Influence of attention alternation on movement-related cortical potentials in healthy individuals and stroke patients

Dario Farina, Ernest Nlandu Kamavuako, Ning Jiang, 2017, Clinical Neurophysiology.

Aalborg Universitet Influence of attention alternation on movement-related cortical potentials in healthy individuals and stroke patients

A. Pavlovic, D. Farina, N. Jiang, 2017 .

Sleep, headache and epilepsy reference database with Internet access: The European Neurological Network Project

C. Guilleminault, K. Dremstrup, T. Penzel, 1997 .

Peripheral Electrical Stimulation Triggered by Self-Paced Detection of Motor Intention Enhances Motor Evoked Potentials

Ning Jiang, D. Farina, N. Mrachacz-Kersting, 2012, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

The effect of type of afferent feedback timed with motor imagery on the induction of cortical plasticity

D. Farina, S. Aliakbaryhosseinabadi, N. Mrachacz-Kersting, 2017, Brain Research.

Dario Farina, Andrej M. Savić, Romulus Lontis, 2014 .

Single-trial discrimination of type and speed of wrist movements from EEG recordings

Dario Farina, Kim Dremstrup, D. Farina, 2009, Clinical Neurophysiology.

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.

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 .

A Novel Brain-Computer Interface for Chronic Stroke Patients

Dario Farina, Ning Jiang, Kim Dremstrup, 2014 .

Comparing MRCP of Healthy Subjects with That of ALS Patients

Kim Dremstrup, K. Dremstrup, Ying Gu, 2011 .

Factors of Influence on the Performance of a Short-Latency Non-Invasive Brain Switch: Evidence in Healthy Individuals and Implication for Motor Function Rehabilitation

Dario Farina, Ning Jiang, Kim Dremstrup, 2016, Front. Neurosci..

Aalborg Universitet Comparison of features for movement prediction from single-trial movement-related cortical potentials in healthy subjects and stroke patients

I. Niazi, K. Dremstrup, M. Jochumsen, 2015 .

Aalborg Universitet Factors of influence on the performance of a short-latency non-invasive brain switch

D. Farina, N. Jiang, K. Dremstrup, 2017 .

Detection of Movement Intention from Movement-Related Cortical Potentials with Different Paradigms

D. Farina, N. Jiang, K. Dremstrup, 2014 .

The potential of imagination and artificial afference in stroke rehabilitation

A. Pavlovic, D. Farina, I. Niazi, 2012, 11th Symposium on Neural Network Applications in Electrical Engineering.

Title : Efficient neuroplasticity induction in chronic stroke patients by an 1 associative brain-computer interface

A. Pavlovic, D. Farina, M. Djuric-Jovicic, 2015 .

Comparison of movement related cortical potential in healthy people and amyotrophic lateral sclerosis patients

Dario Farina, Kim Dremstrup, Niels Birbaumer, 2013, Front. Neurosci..

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.

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.

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..

15th Nordic-Baltic Conference on Biomedical Engineering and Medical Physics in Aalborg, Denmark

Kim Dremstrup, K. Dremstrup, 2011 .

Associative Plasticity Induced by a Brain–Computer Interface Based on Movement-Related Cortical Potentials

Dario Farina, Ning Jiang, Kim Dremstrup, 2018 .

Enhanced Low-Latency Detection of Motor Intention From EEG for Closed-Loop Brain-Computer Interface Applications

Ning Jiang, Kim Dremstrup, Natalie Mrachacz-Kersting, 2014, IEEE Transactions on Biomedical Engineering.

Chiropractic, Cortical Excitability and BCI

I. Niazi, K. Dremstrup, M. Jochumsen, 2014 .

Endogenous sensory discrimination and selection by a fast brain switch for a high transfer rate brain-computer interface

Chuang Lin, Dario Farina, Strahinja Dosen, 2016, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

The Changing Brain: Bidirectional Learning Between Algorithm and User

Ning Jiang, Kim Dremstrup, Natalie Mrachacz-Kersting, 2015, Brain-Computer Interface Research.

Dario Farina, Aleksandra Vuckovic, Ning Jiang, 2014, Front. Neuroeng..

Robustness of movement detection techniques from motor execution: Single trial movement related cortical potential

Ning Jiang, Kim Dremstrup, Natalie Mrachacz-Kersting, 2015, 2015 7th International IEEE/EMBS Conference on Neural Engineering (NER).

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.

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

I. Niazi, K. Dremstrup, M. Jochumsen, 2016, Medical & Biological Engineering & Computing.

A Closed-Loop Brain–Computer Interface Triggering an Active Ankle–Foot Orthosis for Inducing Cortical Neural Plasticity

José Luis Pons Rovira, Dario Farina, Chuang Lin, 2014, IEEE Transactions on Biomedical Engineering.

Online detection and classification of movement kinetics

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

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

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

Detection of movement intention from single-trial movement-related cortical potentials using random and non-random paradigms

Dario Farina, Aleksandra Vuckovic, Ning Jiang, 2015 .

Dario Farina, Ying Gu, Kim Dremstrup, 2013 .

Patient-Reported Outcomes From Patients With Heart Failure Participating in the Future Patient Telerehabilitation Program: Data From the Intervention Arm of a Randomized Controlled Trial

K. Dremstrup, B. Dinesen, J. Refsgaard, 2021, JMIR cardio.

Single-Trial Classification of Error-Related Potentials in People with Motor Disabilities: A Study in Cerebral Palsy, Stroke, and Amputees

I. Niazi, K. Dremstrup, M. Jochumsen, 2022, Sensors.

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..

Offline Identification of Imagined Speed of Wrist Movements in Paralyzed ALS Patients from Single-Trial EEG

Dario Farina, Ying Gu, Kim Dremstrup, 2009, Front. Neuropro..

EMD-Based Temporal and Spectral Features for the Classification of EEG Signals Using Supervised Learning

Kim Dremstrup, Saad Rehman, Farhan Riaz, 2016, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

Autonomous Wheelchair for Patients with Severe Motor Disabilities

Héctor A. Caltenco, Kim Dremstrup, Alvaro Fuentes Cabrera, 2013, ICINCO.

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).

Comparison of feature selection and classification methods for a brain–computer interface driven by non-motor imagery

Dario Farina, Kim Dremstrup, Alvaro Fuentes Cabrera, 2010, Medical & Biological Engineering & Computing.

An Accurate, Versatile, and Robust Brain Switch for Neurorehabilitation

Ning Jiang, Kim Dremstrup, Natalie Mrachacz-Kersting, 2014, Brain-Computer Interface Research.

Auditory and spatial navigation imagery in Brain–Computer Interface using optimized wavelets

Kim Dremstrup, Alvaro Fuentes Cabrera, K. Dremstrup, 2008, Journal of Neuroscience Methods.

Differential mobile robot based wheelchair

Alfredo Chávez Plascencia, Kim Dremstrup, Alfredo Chavez Plascencia, 2011 .

The effect of type of afferent feedback timed with motor imagery on the induction of cortical plasticity

N. Jiang, K. Dremstrup, M. Voigt, 2017, Brain Research.

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..

Factors of Influence on the Performance of a Short-Latency Non-Invasive Brain Switch: Evidence in Healthy Individuals and Implication for Motor Function Rehabilitation

D. Farina, N. Jiang, K. Dremstrup, 2016, Front. Neurosci..

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.

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

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

A Brain-Computer-Interface to Combat Musculoskeletal Pain

Lin Yao, Dario Farina, Ning Jiang, 2017, Brain-Computer Interface Research.

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.

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.

Strathprints Institutional Repository Movement-related Cortical Potentials in Paraplegic Patients: Abnormal Patterns and Considerations for Bci-rehabilitation

B. Conway, D. Farina, D. Allan, 2022 .