M
Mads Jochumsen
Researcher at Aalborg University
Publications - 111
Citations - 1610
Mads Jochumsen is an academic researcher from Aalborg University. The author has contributed to research in topics: Computer science & Medicine. The author has an hindex of 18, co-authored 93 publications receiving 1094 citations. Previous affiliations of Mads Jochumsen include Aarhus University Hospital.
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Journal ArticleDOI
Multiday EMG-Based Classification of Hand Motions with Deep Learning Techniques
Muhammad Zia ur Rehman,Asim Waris,Syed Omer Gilani,Mads Jochumsen,Imran Khan Niazi,Mohsin Jamil,Mohsin Jamil,Dario Farina,Ernest Nlandu Kamavuako +8 more
TL;DR: CNN significantly improved performance and increased robustness over time compared with standard LDA with associated handcrafted features, and this data-driven features extraction approach may overcome the problem of the feature calibration and selection in myoelectric control.
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Detection and classification of movement-related cortical potentials associated with task force and speed
TL;DR: The results indicate that it is possible to detect movement intentions with limited latencies, and extract and classify different levels of force and speed, which may be combined with assistive technologies for patient-driven neurorehabilitation.
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A Review of Techniques for Detection of Movement Intention Using Movement-Related Cortical Potentials
Aqsa Shakeel,Muhammad Samran Navid,Muhammad Nabeel Anwar,Suleman Mazhar,Mads Jochumsen,Imran Khan Niazi +5 more
TL;DR: Rec recapitulate the features such as signal's acquisition, processing, and enhancement and different electrode montages used for EEG data recoding from different studies that used MRCPs to predict the upcoming real or imaginary movement.
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Detection of movement-related cortical potentials based on subject-independent training
Imran Khan Niazi,Ning Jiang,Mads Jochumsen,Jørgen Feldbæk Nielsen,Kim Dremstrup,Dario Farina,Dario Farina +6 more
TL;DR: Results indicate the possibility of detecting movement intention without an individual training phase and without a significant loss in performance in asynchronous BCIs based on movement-related cortical potential (MRCP).
Journal ArticleDOI
Detecting and classifying movement-related cortical potentials associated with hand movements in healthy subjects and stroke patients from single-electrode, single-trial EEG
Mads Jochumsen,Imran Khan Niazi,Imran Khan Niazi,Imran Khan Niazi,Denise Taylor,Dario Farina,Kim Dremstrup +6 more
TL;DR: The results indicate that it is possible to use a single EEG channel for detecting movement intentions that may be combined with assistive technologies.