Data mining process for identification of non-spontaneous saccadic movements in clinical electrooculography
In this paper we evaluate the use of the machine learning algorithms Support Vector
Machines (SVM), K-Nearest Neighbors (KNN) and Classification and Regression Trees …
Machines (SVM), K-Nearest Neighbors (KNN) and Classification and Regression Trees …
Technology for processing saccadic electrooculograms in people with Spinocerebellar Ataxia type 2
RA Becerra-García - 2022 - riuma.uma.es
Este trabajo presenta el desarrollo de una tecnología que procesa los registros de
movimiento del ojo humano de forma totalmente automática. También tiene un fuerte …
movimiento del ojo humano de forma totalmente automática. También tiene un fuerte …
Evaluation of the differentiation of noisy electrooculographic records using continuous wavelet transform
The differentiation of signals in presence of noise results complicated, due to the
amplification effect of the traditional methods. In this work we do a preliminary evaluation of …
amplification effect of the traditional methods. In this work we do a preliminary evaluation of …
Automatic glissade determination through a mathematical model in electrooculographic records
The glissadic overshoot is characterized by an unwanted type of movement known as
glissades. The glissades are a short ocular movement that describe the failure of the neural …
glissades. The glissades are a short ocular movement that describe the failure of the neural …