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pro vyhledávání: '"I.5"'
Publikováno v:
Applied Sciences, 14,971, 2024
This manuscript describes and implementation of scripts of code aimed at reducing the influence of artifacts, specifically focused on ocular artifacts, in the measurement and processing of electroencephalogram (EEG) signals. This process is of import
Externí odkaz:
http://arxiv.org/abs/2411.13931
Publikováno v:
Neural Comput and Applic 36, 791-802, 2024
The human brain receives stimuli in multiple ways; among them, audio constitutes an important source of relevant stimuli for the brain regarding communication, amusement, warning, etc. In this context, the aim of this manuscript is to advance in the
Externí odkaz:
http://arxiv.org/abs/2411.13217
Publikováno v:
Biomed. Signal Proces. and Cont.,Vol.87,2024
Electroencephalography (EEG) provides a way to understand, and evaluate neurotransmission. In this context, time-locked EEG activity or event-related potentials (ERPs) are often used to capture neural activity related to specific mental processes. No
Externí odkaz:
http://arxiv.org/abs/2411.13172
Falls among seniors due to difficulties with tasks such as picking up objects pose significant health and safety risks, impacting quality of life and independence. Reliable, accessible assessment tools are critical for early intervention but often re
Externí odkaz:
http://arxiv.org/abs/2411.12689
Publikováno v:
Biomedical Signal Proces. and Control, Vol.78, 2022
Electroencephalography (EEG) is a tool that allows us to analyze brain activity with high temporal resolution. These measures, combined with deep learning and digital signal processing, are widely used in neurological disorder detection and emotion a
Externí odkaz:
http://arxiv.org/abs/2411.12400
Autor:
Villena, Alejandro, Tardon, Lorenzo J., Barbancho, Isabel, Barbancho, Ana M., Brattico, Elvira, Haumann, Niels T.
Publikováno v:
Appl. Sci. 2019, 9, 1757
We dealt with the problem of artifacts in eeg signals in relation to the usage of lengthy trials. Specifically, we considered eye artifacts found in eeg signals,their influence in the analysis of the data and alternatives to diminish their impact on
Externí odkaz:
http://arxiv.org/abs/2411.12092
Time series forecasting is crucial in several sectors, such as meteorology, retail, healthcare, and finance. Accurately forecasting future trends and patterns is crucial for strategic planning and making well-informed decisions. In this case, it is c
Externí odkaz:
http://arxiv.org/abs/2411.10716
Autor:
Pebes-Trujillo, Miguel R., Shenhar, Itamar, Harikumar, Aravind, Herrmann, Ittai, Moshelion, Menachem, Ng, Kee Woei, Gavish, Matan
We present a probabilistic ranking model to identify the optimal treatment in multiple-response experiments. In contemporary practice, treatments are applied over individuals with the goal of achieving multiple ideal properties on them simultaneously
Externí odkaz:
http://arxiv.org/abs/2410.17604
We propose the $\textit{lifted linear model}$, and derive model-free prediction intervals that become tighter as the correlation between predictions and observations increases. These intervals motivate the $\textit{Lifted Coefficient of Determination
Externí odkaz:
http://arxiv.org/abs/2410.08958
Autor:
Tuononen, Marko, Hautamäki, Ville
Mutual information provides a powerful, general-purpose metric for quantifying the amount of shared information between variables. Estimating normalized mutual information using a k-Nearest Neighbor (k-NN) based approach involves the calculation of t
Externí odkaz:
http://arxiv.org/abs/2410.07642