COMPUTER DETECTION APPROACHES FOR IDENTIFICATION OF PHASIC ELECTROMYOGRAPHIC (EMG) ACTIVITY DURING HUMAN SLEEP.
COMPUTER DETECTION APPROACHES FOR IDENTIFICATION OF PHASIC ELECTROMYOGRAPHIC (EMG) ACTIVITY DURING HUMAN SLEEP.
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DOI：
10.1016/j.bspc.2012.02.003
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发表时间：
2012-11-01
影响因子：
5.1
通讯作者：
Bliwise, Donald L.
中科院分区：
文献类型：
--
作者：
Fairley, Jacqueline A.;Georgoulas, George;Mehta, Nishant A.;Gray, Alexander G.;Bliwise, Donald L.
从人类多导睡眠图中检查自发发生的阶段性肌肉活动对于患者护理可能具有相当大的临床重要性，然而大多数量化这种活动的检测的尝试依赖于费力和密集的视觉分析。在这项研究中，我们描述了创新的信号处理方法，这个问题。我们基于16，200个1秒间隔的低阻抗睡眠记录检查了表面肌电信号的多种特征。我们验证了哪些特征最接近地反映了训练有素的人类观察者在区分短暂（100-500 msec）阶段性活动时的仔细判断，并检查了哪些特征在1秒间隔内提供了最大差异，哪些特征对放大器噪声的残留水平最不敏感。我们的数据表明特别有前途和新颖的功能（例如，非线性能量，频谱边缘频率的第95百分位），用于开发用于量化人类睡眠期间肌肉活动的自动化系统。在睡眠期间从表面电极记录的EMG信号可以用反映人类评分者的基于视觉的分析的技术处理，但也提供辨别更微妙的影响的潜力。未来的研究将探索这些技术的临床实用性以及它们对信号伪影的相对敏感性和/或独立性。
Examination of spontaneously occurring phasic muscle activity from the human polysomnogram may have considerable clinical importance for patient care, yet most attempts to quantify the detection of such activity have relied upon laborious and intensive visual analyses. We describe in this study innovative signal processing approaches to this issue. We examined multiple features of surface electromyographic signals based on 16,200 individual 1-second intervals of low impedance sleep recordings. We validated which of those features most closely mirrored the careful judgments of trained human observers in making discriminations of the presence of short-lived (100-500 msec) phasic activity, and also examined which features provided maximal differences across 1-second intervals and which features were least susceptible to residual levels of amplifier noise. Our data suggested particularly promising and novel features (e.g., Non-linear energy, 95th percentile of Spectral Edge Frequency) for developing automated systems for quantifying muscle activity during human sleep. The EMG signals recorded from surface electrodes during sleep can be processed with techniques that reflect the visually based analyses of the human scorer but also offer potential for discerning far more subtle effects, Future studies will explore both the clinical utility of these techniques and their relative susceptibility to and/or independence from signal artifacts.
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影响因子：
4.8
作者：
Boeve, Bradley F.;Molano, Jennifer R.;Ferman, Tanis J.;Smith, Glenn E.;Lin, Siong-Chi;Bieniek, Kevin;Haidar, Wael;Tippmann-Peikert, Maja;Knopman, David S.;Graff-Radford, Neill R.;Lucas, John A.;Petersen, Ronald C.;Silber, Michael H.
通讯作者：
Silber, Michael H.
影响因子：
8.6
作者：
Boeve, BF;Silber, MH;Parisi, JE
通讯作者：
Parisi, JE
影响因子：
3.7
作者：
BLIWISE, D;COLEMAN, R;RECHTSCHAFFEN, A
通讯作者：
RECHTSCHAFFEN, A
影响因子：
8.6
作者：
Frauscher, Birgit;Gschliesser, Viola;Hoegl, Birgit
通讯作者：
Hoegl, Birgit
DOI：
10.1016/s0013-4694(98)00009-1
发表时间：
1998-07-01
期刊：
ELECTROENCEPHALOGRAPHY AND CLINICAL NEUROPHYSIOLOGY
影响因子：
--
作者：
Agarwal, R;Gotman, J;Rosenblatt, B
通讯作者：
Rosenblatt, B