Open-source logic-based automated sleep scoring software using electrophysiological recordings in rats.
Open-source logic-based automated sleep scoring software using electrophysiological recordings in rats.
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DOI：
10.1016/j.jneumeth.2009.07.009
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发表时间：
2009-10-30
影响因子：
3
通讯作者：
Poe, Gina R.
中科院分区：
文献类型：
--
作者：
Gross, Brooks A.;Walsh, Christine M.;Turakhia, Apurva A.;Booth, Victoria;Mashour, George A.;Poe, Gina R.
在睡眠研究中，生理记录的手动状态评分耗时，导致数据积压、研究延迟和人员成本增加。我们开发了基于matlab的软件来自动评分大鼠的睡眠/清醒状态，潜在地扩展到其他动物，从各种记录系统。该软件包含两个程序，睡眠计分器和自动计分器，手动和自动计分。Auto-Scorer是一个基于逻辑的程序，显示肌电信号的功率谱密度和脑电图信号的σ， δ和θ频段，以及δ/θ比率和σ ×θ，为每个epoch。用户从训练文件状态定义中定义阈值，Auto-Scorer使用该阈值与逻辑一起区分文件中每个epoch的状态。通过比较3个用户在2个实验条件下6只大鼠的手动评分文件来评估Auto-Scorer。每个用户生成一个训练文件，设置阈值，并自动将12个文件分为4种状态（清醒、非快速眼动、过渡到快速眼动和快速眼动睡眠），所需时间是手动为文件评分所需时间的1 / 4。自动计分器和手动计分器的总体表现比较的平均一致性为80.24 +/ - 7.87%，与3个手动计分器的平均一致性（83.03 +/ - 4.00%）相当。user-user和user-Auto-Scorer之间的一致性比率无显著差异。这些结果支持使用我们的开源Auto-Scorer，再加上用户评论，从大鼠记录中快速准确地对睡眠/清醒状态进行评分。
Manual state scoring of physiological recordings in sleep studies is time-consuming, resulting in a data backlog, research delays and increased personnel costs. We developed MATLAB-based software to automate scoring of sleep/waking states in rats, potentially extendable to other animals, from a variety of recording systems. The software contains two programs, Sleep Scorer and Auto-Scorer, for manual and automated scoring. Auto-Scorer is a logic-based program that displays power spectral densities of an electromyographic signal and σ, δ, and θ frequency bands of an electroencephalographic signal, along with the δ/θ ratio and σ ×θ, for every epoch. The user defines thresholds from the training file state definitions which the Auto-Scorer uses with logic to discriminate the state of every epoch in the file. Auto-Scorer was evaluated by comparing its output to manually scored files from 6 rats under 2 experimental conditions by 3 users. Each user generated a training file, set thresholds, and autoscored the 12 files into 4 states (waking, non-REM, transition-to-REM, and REM sleep) in ¼ the time required to manually score the file. Overall performance comparisons between Auto-Scorer and manual scoring resulted in a mean agreement of 80.24 +/− 7.87%, comparable to the average agreement among 3 manual scorers (83.03 +/− 4.00%). There was no significant difference between user-user and user-Auto-Scorer agreement ratios. These results support the use of our open-source Auto-Scorer, coupled with user review, to rapidly and accurately score sleep/waking states from rat recordings.
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DOI：
10.1049/ip-f-2.1992.0060
发表时间：
1992-12-01
期刊：
IEE PROCEEDINGS-F RADAR AND SIGNAL PROCESSING
影响因子：
--
作者：
ROBERTS, S;TARASSENKO, L
通讯作者：
TARASSENKO, L
影响因子：
5.3
作者：
Datta, S
通讯作者：
Datta, S
影响因子：
5.6
作者：
Svetnik, Vladimir;Ma, Junshui;Koblan, Ken S.
通讯作者：
Koblan, Ken S.
影响因子：
3
作者：
Witting, W;vanderWerf, D;Mirmiran, M
通讯作者：
Mirmiran, M
影响因子：
2.9
作者：
Robert, C;Karasinski, P;Limoge, A
通讯作者：
Limoge, A