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Št. zadetkov: 5
Optimizing real-time MI-BCI performance in post-stroke patients
Aleksandar Miladinović, Agostino Accardo, Joanna Jarmolowska, Uroš Marušič, Miloš Ajčević
Izvirni znanstveni članek
Oznake: RMV;EEG;klasifikacija;motorična predstava;BCI;classification;motor imagery;
Brain–computer interfaces (BCIs) are promising tools for motor neurorehabilitation. Achieving a balance between classification accuracy and system responsiveness is crucial for real-time applications. This study aimed to assess how the duration of time windows affects performance, specifically class ...
Leto: 2024 Vir: Univerza na Primorskem (UP)
On the influence of aging on classification performance in the visual EEG oddball paradigm using statistical and temporal features
Nina Omejc, Manca Peskar, Aleksandar Miladinović, Voyko Kavcic, Sašo Džeroski, Uroš Marušič
Izvirni znanstveni članek
Oznake: aging;elderly;machine learning;visual oddball study;brain-computer interface;
The utilization of a non-invasive electroencephalogram (EEG) as an input sensor is a common approach in the field of the brain–computer interfaces (BCI). However, the collected EEG data pose many challenges, one of which may be the age-related variability of event-related potentials (ERPs), which ar ...
Leto: 2023 Vir: Repozitorij Univerze na Primorskem (RUP)
Stroop in motion
Manca Peskar, Nina Omejc, Maja Maša Šömen, Aleksandar Miladinović, Klaus Gramann, Uroš Marušič
Izvirni znanstveni članek
Oznake: Stroopov test;mobilno slikanje možganov;mobilno slikanje telesa;z dogodkom povezani potenciali;dvojna naloga;Stroop task;mobile brain imaging;mobile body imaging;event-related potential;dual tasking;
There is conflicting evidence about how interference control in healthy adults is affected by walking as compared to standing or sitting. Although the Stroop paradigm is one of the best-studied paradigms to investigate interference control, the neurodynamics associated with the Stroop task during wa ...
Leto: 2023 Vir: Filozofska fakulteta (UL FF)
ǂA ǂdata-driven machine learning approach for brain-computer interfaces targeting lower limb neuroprosthetics
Arnau Dillen, Elke Lathouwers, Aleksandar Miladinović, Uroš Marušič, Fakhredinne Ghaffari, Olivier Romain, Romain Meeusen, Kevin De Pauw
Izvirni znanstveni članek
Oznake: nevroprostetika;učenje na podlagi podatkov;amputacija spodnjega uda;neuroprosthetics;brain-computer interface;machine learning;electroencephalography;data-driven learning;lower limb amputation;
Prosthetic devices that replace a lost limb have become increasingly performant in recent years. Recent advances in both software and hardware allow for the decoding of electroencephalogram (EEG) signals to improve the control of active prostheses with brain-computer interfaces (BCI). Most BCI resea ...
Leto: 2022 Vir: Repozitorij Univerze na Primorskem (RUP)
Neuromuscular assessment of force development, postural, and gait performance under cognitive-motor dual-tasking in healthy older adults and early Parkinson's disease patients
Uroš Marušič, Manca Peskar, Maja Maša Šömen, Miloš Kalc, Aleš Holobar, Klaus Gramann, Bettina Wollesen, Anna Wunderlich, Christoph M. Michel, Aleksandar Miladinović, Mauro Catalan, Alex B. Stella, Miloš Ajčević, Paolo Manganotti
Izvirni znanstveni članek
Oznake: mobilne telesne oslikave;možganske oslikave;dvojna naloga;živčnomišične funkcije;Parkinson's disease;mobile brain imaging;body brain imaging;MoBi;dual tasking;neuromuscular function;older adults;
Background: Neuromuscular dysfunction is common in older adults and more pronounced in neurodegenerative diseases. In Parkinson's disease (PD), a complex set of factors often prevents the effective performance of activities of daily living that require intact and simultaneous performance of the moto ...
Leto: 2023 Vir: Univerza na Primorskem (UP)
Št. zadetkov: 5
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