FASTER: an unsupervised fully automated sleep staging method for mice.
FASTER: an unsupervised fully automated sleep staging method for mice.
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DOI：
10.1111/gtc.12053
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发表时间：
2013-06
期刊：
影响因子：
--
通讯作者：
Ueda HR
中科院分区：
文献类型：
--
作者：
Sunagawa GA;Séi H;Shimba S;Urade Y;Ueda HR
识别睡眠阶段或睡眠分期是睡眠研究中不可避免的步骤，通常需要对脑电图（EEG）和肌电图（EMG）数据进行目视检查。目前，评分是缓慢的，有偏见的，容易出错的人，因此是最重要的瓶颈，大规模的动物睡眠研究。我们已经为小鼠开发了一种无监督，全自动的睡眠分期方法，可以对睡眠进行较少的主观和高通量评估。通过EEG/EMG记录的全自动睡眠sTaging方法（FASTER）基于综合EEG/EMG功率谱的非参数密度估计聚类。FASTER可以准确地识别被药物或生物钟基因修饰干扰的小鼠的睡眠模式。各组的总体准确率均在90%以上。24小时的数据在10分钟内由笔记本电脑分级，这比有经验的人类评分员更快。在质量和吞吐量方面大幅改善睡眠分期过程将为定量和全面的动物睡眠研究打开大门。
Identifying the stages of sleep, or sleep staging, is an unavoidable step in sleep research and typically requires visual inspection of electroencephalography (EEG) and electromyography (EMG) data. Currently, scoring is slow, biased and prone to error by humans and thus is the most important bottleneck for large-scale sleep research in animals. We have developed an unsupervised, fully automated sleep staging method for mice that allows less subjective and high-throughput evaluation of sleep. Fully Automated Sleep sTaging method via EEG/EMG Recordings (FASTER) is based on nonparametric density estimation clustering of comprehensive EEG/EMG power spectra. FASTER can accurately identify sleep patterns in mice that have been perturbed by drugs or by genetic modification of a clock gene. The overall accuracy is over 90% in every group. 24-h data are staged by a laptop computer in 10 min, which is faster than an experienced human rater. Dramatically improving the sleep staging process in both quality and throughput FASTER will open the door to quantitative and comprehensive animal sleep research.
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影响因子：
2.5
作者：
Gilmour TP;Fang J;Guan Z;Subramanian T
通讯作者：
Subramanian T
影响因子：
2.9
作者：
Brankack, Jurij;Kukushka, Valeriy I.;Draguhn, Andreas
通讯作者：
Draguhn, Andreas
DOI：
10.1016/s0020-7101(05)80010-8
发表时间：
1995-03-01
期刊：
INTERNATIONAL JOURNAL OF BIO-MEDICAL COMPUTING
影响因子：
--
作者：
DOMAN, J;DETKA, C;KUPFER, DJ
通讯作者：
KUPFER, DJ
影响因子：
2.2
作者：
Agrawal, Gracee;Modarres, Mohammad;Bibian, Stephane
通讯作者：
Bibian, Stephane
DOI：
10.1152/ajpregu.1998.275.4.r1127
发表时间：
1998-10-01
影响因子：
2.8
作者：
Franken, P;Malafosse, A;Tafti, M
通讯作者：
Tafti, M