LAUSR

Multichannel sleep spindle detection using sparse low-rank optimization

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0 Published in 2017 at "Journal of Neuroscience Methods"

DOI: 10.1016/j.jneumeth.2017.06.004

Abstract: BACKGROUND Automated single-channel spindle detectors, for human sleep EEG, are blind to the presence of spindles in other recorded channels unlike visual annotation by a human expert. NEW METHOD We propose a multichannel spindle detection… read more here.

Keywords: detection; component; method; sleep ... See more keywords

Optimal Spindle Detection Parameters for Predicting Cognitive Performance.

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1 Published in 2022 at "Sleep"

DOI: 10.1093/sleep/zsac001

Abstract: STUDY OBJECTIVES Alterations in sleep spindles have been linked to cognitive impairment. This finding has contributed to a growing interest in identifying sleep-based biomarkers of cognition and neurodegeneration, including sleep spindles. However, flexibility surrounding spindle… read more here.

Keywords: cognition; detection parameters; spindle features; spindle detection ... See more keywords

Validation of an automated sleep spindle detection method for mouse electroencephalography

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0 Published in 2019 at "SLEEP"

DOI: 10.1093/sleep/zsy218

Abstract: Study Objectives Sleep spindles are abnormal in several neuropsychiatric conditions and have been implicated in associated cognitive symptoms. Accordingly, there is growing interest in elucidating the pathophysiology behind spindle abnormalities using rodent models of such… read more here.

Keywords: detection; validation; mouse electroencephalography; mouse ... See more keywords

Convolutional Multiple Instance Learning for Sleep Spindle Detection With Label Refinement

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1 Published in 2023 at "IEEE Transactions on Cognitive and Developmental Systems"

DOI: 10.1109/tcds.2022.3159285

Abstract: Sleep spindles are closely associated with cognitive functions and neurological disorders; thus, spindle detection has been an important topic in sleep medicine. Recently, machine learning approaches have shown the potential in automatic sleep spindle detection… read more here.

Keywords: spindle detection; feature learning; label refinement; sleep spindle ... See more keywords

Hierarchical fusion detection algorithm for sleep spindle detection

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1 Published in 2023 at "Frontiers in Neuroscience"

DOI: 10.3389/fnins.2023.1105696

Abstract: Background Sleep spindles are a vital sign implying that human beings have entered the second stage of sleep. In addition, they can effectively reflect a person’s learning and memory ability, and clinical research has shown… read more here.

Keywords: hierarchical fusion; detection algorithm; accuracy; spindle detection ... See more keywords