Evaluating the use of line length for automatic sleep spindle detection
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In this paper we evaluate the use of line length, an efficient and low-complexity time domain feature, for automatic detection of sleep spindles. We use this ...
Abstract—Sleep spindles are transient waveforms observed on the electroencephalogram (EEG) during the N2 stage of sleep. In this paper we evaluate the use ...
The overall detection performance, combined with the low power consumption show that line length could be a useful feature for detecting sleep spindles in ...
In this paper we evaluate the use of line length, an efficient and low-complexity time domain feature, for automatic detection of sleep spindles. We use this ...
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title = {Evaluating the use of line length for automatic sleep spindle detection}, ... TI - Evaluating the use of line length for automatic sleep spindle ...
Sleep spindles are discrete, intermittent patterns of brain activity that arise as a result of interactions of several circuits in the brain.
May 18, 2017 · In this study, we focus on tackling the second problem by proposing to evaluate the performance of a spindle detector in a multi-objective ...
Mar 9, 2023 · Automatic sleep spindle detection in patients with sleep disorders. ... Evaluating the use of line length for automatic sleep spindle detection.
Deep-spindle will allow a faster and more reliable infant sleep spindles detection. Deep-spindle can estimate both the number and duration of sleep spindles in ...
Automatic Detection of Sleep Spindles Using Time Domain Features · Evaluating the use of line length for automatic sleep spindle detection · A Comparison of ...