Titlebook: Artificial Intelligence in Neuroscience: Affective Analysis and Health Applications; 9th International Wo José Manuel Ferrández Vicente,Jos

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978-3-031-06241-4Springer Nature Switzerland AG 2022

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Vom Protostern zum Schwarzen Loch,ls to diagnose and predict the evolution of neurological disorders like Parkinson’s Disease (PD). Though some of these previous work have attempted to combine multiple input data sources, many studies are critical of their lack of robustness when combining several input sources that with a high vari

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https://doi.org/10.1007/978-3-476-04175-3owever, an early diagnosis can be crucial for slowing its progress. The Clock Drawing Test (CDT) is a widely used paper-and-pencil test for cognitive assessment in which an individual has to manually draw a clock on a paper during a certain time. Nevertheless, there are a lot of scoring systems for

Classify

,Theobald Noltens ‘romantische’ Disposition, EEG and MEG methods record these brain oscillations and offer an invaluable insight into healthy and pathological brain function. These signals are helpful to study and achieve an objective and early diagnosis of neural disorders as Developmental Dyslexia (DD). DD early diagnosis is a challenging t

BATE

Sylvia Feil,J?rg Resag,Kristin Riebepathological brain function. These signals are helpful to study and achieve an objective and early diagnosis of neural disorders as Developmental Dyslexia (DD). An atypical oscillatory sampling could cause the characteristic phonological difficulties of dyslexia at one or more temporal rates; in thi

Meander

Chemie der Erde und der Planeten,ms that include hallucinations and loss of coordination between thoughts and feelings. Using deep learning and connectivity characteristics, we present a method to detect SZ from electroencephalography (EEG) signals. In this study, the data set of the Institute of Psychiatry and Neurology in Warsaw,