Topological data analysis of single-trial electroencephalographic signals
نویسندگان
چکیده
منابع مشابه
Topological Data Analysis of Single - Trial Electroencephalographic Signals
Epilepsy is a neurological disorder that can negatively affect the visual, audial and motor functions of the human brain. Statistical analysis of neurophysiological recordings, such as electroencephalogram (EEG), facilitates the understanding and diagnosis of epileptic seizures. Standard statistical methods, however, do not account for topological features embedded in EEG signals. In the curren...
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Persistent homology is a novel multi-scale topological method that is gaining popularity in data analysis. It has proven effective in revealing nonlinear patterns of high-dimensional imaging data that are otherwise undetected by existing mono-scale techniques. Among several descriptors of persistent homology, the recently proposed PL possess many desirable properties for rigorous statistical in...
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-Electroencephalography is the simple method of recording and measuring electrical activity of brain. This brain signal is amplified and resulting in electroencephalogram (EEG). EEG is non-invasive tool used in monitoring brain activities and diagnosis of many neurological disorder. The main challenge of EEG is the small signal amplitude and its sensitivity to noise because of which it demands ...
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Meditation practice is a non-pharmacological intervention that provides both physical and mental benefits. It has generated much neuroscientific interest in its effects on brain activity. Spontaneous brain activity can be measured by electroencephalography (EEG). Spectral powers of EEG signals are routinely mapped on a topographic layout of channels to visualize spatial variations within a cert...
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ژورنال
عنوان ژورنال: The Annals of Applied Statistics
سال: 2018
ISSN: 1932-6157
DOI: 10.1214/17-aoas1119