Kenneth Camilleri
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Explore the profile of Kenneth Camilleri including associated specialties, affiliations and a list of published articles.
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10
Citations
68
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Recent Articles
1.
Zhao Z, Li Y, Peng Y, Camilleri K, Kong W
J Neurosci Methods
. 2025 Mar;
418:110413.
PMID: 40058464
Background: Electroencephalogram (EEG)-based speech imagery is an emerging brain-computer interface paradigm, which enables the speech disabled to naturally and intuitively communicate with external devices or other people. Currently, speech imagery...
2.
Tedesco Triccas L, Hoornweder S, Camilleri T, Boccuni L, Peeters A, van Pesch V, et al.
Transl Stroke Res
. 2025 Jan;
PMID: 39856394
Electroencephalogram (EEG) during pinprick stimulation has the potential to unveil neural mechanisms underlying sensorimotor impairments post-stroke. A proof-of-concept study explored event-related peak pinprick amplitude and oscillatory responses in healthy controls...
3.
Grech N, Agius J, Sciberras S, Micallef N, Camilleri K, Falzon O
Acta Medica (Hradec Kralove)
. 2023 Nov;
66(2):39-46.
PMID: 37930092
Non-contact vital sign monitoring is an area of increasing interest in the clinical scenario since it offers advantages over traditional monitoring using leads and wires. These advantages include reduction in...
4.
Padfield N, Agius Anastasi A, Camilleri T, Fabri S, Bugeja M, Camilleri K
Disabil Rehabil Assist Technol
. 2023 May;
19(4):1539-1551.
PMID: 37166297
Purpose: Brain-computer interface (BCI)-controlled wheelchairs have the potential to improve the independence of people with mobility impairments. The low uptake of BCI devices has been linked to a lack of...
5.
Padfield N, Camilleri K, Camilleri T, Fabri S, Bugeja M
Sensors (Basel)
. 2022 Aug;
22(15).
PMID: 35957360
Electroencephalogram (EEG)-based brain-computer interfaces (BCIs) provide a novel approach for controlling external devices. BCI technologies can be important enabling technologies for people with severe mobility impairment. Endogenous paradigms, which depend...
6.
Farrugia J, Griffin S, Valdramidis V, Camilleri K, Falzon O
Curr Res Food Sci
. 2021 Feb;
4:18-27.
PMID: 33554131
The application of non-destructive process analytical technologies in the area of food science got a lot of attention the past years. In this work we used hyperspectral imaging to detect...
7.
Griffin S, Falzon O, Camilleri K, Valdramidis V
Food Res Int
. 2020 Nov;
137:109445.
PMID: 33233125
The dairy industry is of great importance to the European economy contributing towards € 8.7 billion of the total trade surplus. Caprine and ovine milk amount to 3.1% of the...
8.
Tedesco Triccas L, Meyer S, Mantini D, Camilleri K, Falzon O, Camilleri T, et al.
J Neurosci Methods
. 2018 Aug;
311:318-330.
PMID: 30118725
Background: Predicting sensorimotor upper limb outcome receives continued attention in stroke. Neurophysiological measures by electroencephalography (EEG) and magnetoencephalography (MEG) could increase the accuracy of predicting sensorimotor upper limb recovery. New...
9.
Zammit N, Falzon O, Camilleri K, Muscat R
Eur J Neurosci
. 2018 Mar;
48(7):2527-2536.
PMID: 29514416
The timing of neural activity is an intriguing way of exposing behaviorally relevant neural activity, as neural populations exploit transient windows of synchronized activations to exchange dynamic communications in the...
10.
Agius Anastasi A, Falzon O, Camilleri K, Vella M, Muscat R
Stroke Res Treat
. 2017 Mar;
2017:8276136.
PMID: 28251015
Quantitative neurophysiological signal parameters are of value in predicting motor recovery after stroke. The novel role of EEG-derived brain symmetry index for motor function prognostication in the subacute phase after...