Characterization of Sleep Spindles
نویسنده
چکیده
Local Field Potential (LFP) measurements from sleep data is important in Neurological studies because experiments have shown a correlation between sleep and memory consolidation [1]. The most prominent of the coherent signals within LFP sleep data are spindles, which occur most often when a person is dozing off, durring Stage 2 of Non-Rapid-Eye-Movement (NREM) sleep [2]. Determining the specific properties of these spindles is essential to developing accurate biological and physical models to explain the spindles’ presence within the LFP. This paper details a method to computationally identify sleep spindles, characterizes some of their physical properties, and highlights some significant relationships between these physical properties.
منابع مشابه
Automated detection of sleep spindles in the scalp EEG and estimation of their intracranial current sources: comments on techniques and on related experimental and clinical studies
INTRODUCTION Sleep spindles are short bursts of sleep EEG activity in the range of 11–15Hz, reflecting central nervous system integrity and considered to promote sleep continuity, learning and memory consolidation processes. This contribution comments on the automated detection of sleep spindles and their intracranial sources, as well as on experimental and clinical studies for the characteriza...
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