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Ernest Nlandu Kamavuako
King's College London
95Publications
14H-index
651Citations
Publications 95
Newest
Objective: Brain-computer interface (BCI) systems aim to control external devices by using brain signals. The performance of these systems is influenced by the user's mental state, such as attention. In this study, we classified two attention states to a target task (attended and distracted task level) while attention to the task is altered by one of three types of distractors. Methods: A total of 27 participants were allocated into three experimental groups and exposed to one type of distractor...
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#1Asim Waris (AAU: Aalborg University)H-Index: 4
#2Imran Khan Niazi (AAU: Aalborg University)H-Index: 14
Last.Ernest Nlandu Kamavuako ('KCL': King's College London)H-Index: 14
view all 6 authors...
Currently, most of the adopted myoelectric schemes for upper limb prostheses do not provide users with intuitive control. Higher accuracies have been reported using different classification algorithms but investigation on the reliability over time for these methods is very limited. In this study, we compared for the first time the longitudinal performance of selected state-of-the-art techniques for electromyography (EMG) based classification of hand motions. Experiments were conducted on ten abl...
3 CitationsSource
#1L. Tottrup (AAU: Aalborg University)
#2Kasper Kunz Leerskov (AAU: Aalborg University)H-Index: 1
Last.Mads Jochumsen (AAU: Aalborg University)H-Index: 10
view all 6 authors...
For individuals with severe motor deficiencies, controlling external devices such as robotic arms or wheelchairs can be challenging, as many devices require some degree of motor control to be operated, e.g. when controlled using a joystick. A brain-computer interface (BCI) relies only on signals from the brain and may be used as a controller instead of muscles. Motor imagery (MI) has been used in many studies as a control signal for BCIs. However, MI may not be suitable for all control purposes,...
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#1Asim WarisH-Index: 4
#2Irene MendezH-Index: 1
Last.Ernest Nlandu Kamavuako ('KCL': King's College London)H-Index: 14
view all 5 authors...
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#2Jesper Franch (AAU: Aalborg University)H-Index: 4
Last.Ryan Godsk Larsen (AAU: Aalborg University)H-Index: 7
view all 8 authors...
Abstract Dietary nitrate (NO3−) supplementation via beetroot juice (BR) is known to improve endurance performance in untrained and moderately trained individuals. However, conflicting results exist in well-trained individuals. Evidence suggests that the effects of NO3− are augmented during conditions of reduced oxygen availability (e.g., hypoxia), thereby increasing the probability of performance improvements for well-trained athletes in hypoxia vs. normoxia. This randomized, double-blinded, cou...
1 CitationsSource
#1Muhammad Asim Waris (AAU: Aalborg University)
Last.Ernest Nlandu Kamavuako (AAU: Aalborg University)H-Index: 14
view all 5 authors...
#1Susan Aliakbaryhosseinabadi (AAU: Aalborg University)H-Index: 5
#2Ernest Nlandu Kamavuako ('KCL': King's College London)H-Index: 14
Last.Natalie Mrachacz-Kersting (AAU: Aalborg University)H-Index: 19
view all 5 authors...
In real-life scenarios, outside of the laboratory setting, the performance of brain-computer interface (BCI) systems is influenced by the user’s mental state such as attentional diversion. Here, we propose a novel online BCI system able to adapt with variations in the users’ attention during real-time movement execution. Electroencephalography (EEG) signals were recorded from twelve channels in twelve healthy participants and two stroke patients while performing 50 trials of ankle dorsiflexion s...
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#1Ivan Vujaklija (Imperial College London)H-Index: 11
#2Vahid Shalchyan (IUST: Iran University of Science and Technology)H-Index: 4
Last.Dario Farina (Imperial College London)H-Index: 76
view all 6 authors...
In this paper, we propose a nonlinear minimally supervised method based on autoencoding (AEN) of EMG for myocontrol. The proposed method was tested against the state-of-the-art (SOA) control scheme using a Fitts’ law approach. Seven able-bodied subjects performed a series of target acquisition myoelectric control tasks using the AEN and SOA algorithms for controlling two degrees-of-freedom (radial/ulnar deviation and flexion/extension of the wrist), and their online performance was characterized...
11 CitationsSource
#1Shellie BoudreauH-Index: 12
#2Albert Cid RoyoH-Index: 1
Last.Michael Skovdal RathleffH-Index: 30
view all 9 authors...
The patient’s expression of pain using digital-body maps expands analytic opportunities for exploring the spatial variation of bodily pain. A common knee pain condition in adolescents and adults is patellofemoral pain (PFP) and recently PFP was shown to be characterized by a heterogeneous distribution of pain. Whether there are important patterns in these distributions remains unclear. This pioneering study assesses the spatial variation of pain using principal component analysis and a clusterin...
2 CitationsSource
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