Brain-computer interface technologies: from signal to action
A Ortiz-Rosario, H Adeli - Reviews in the Neurosciences, 2013 - degruyter.com
Here, we present a state-of-the-art review of the research performed on the brain-computer
interface (BCI) technologies with a focus on signal processing approaches. BCI can be …
interface (BCI) technologies with a focus on signal processing approaches. BCI can be …
Detection of driving fatigue by using noncontact EMG and ECG signals measurement system
R Fu, H Wang - International journal of neural systems, 2014 - World Scientific
Driver fatigue can be detected by constructing a discriminant mode using some features
obtained from physiological signals. There exist two major challenges of this kind of …
obtained from physiological signals. There exist two major challenges of this kind of …
Assessment of feature selection and classification approaches to enhance information from overnight oximetry in the context of apnea diagnosis
This study is aimed at assessing the usefulness of different feature selection and
classification methodologies in the context of sleep apnea hypopnea syndrome (SAHS) …
classification methodologies in the context of sleep apnea hypopnea syndrome (SAHS) …
Nonlinearities and adaptation of color vision from sequential principal curves analysis
Mechanisms of human color vision are characterized by two phenomenological aspects: the
system is nonlinear and adaptive to changing environments. Conventional attempts to …
system is nonlinear and adaptive to changing environments. Conventional attempts to …
Principal polynomial analysis
This paper presents a new framework for manifold learning based on a sequence of
principal polynomials that capture the possibly nonlinear nature of the data. The proposed …
principal polynomials that capture the possibly nonlinear nature of the data. The proposed …