کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
3045496 1185024 2012 8 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Performance of the frequency domain indices with respect to sleep staging
موضوعات مرتبط
علوم زیستی و بیوفناوری علم عصب شناسی عصب شناسی
پیش نمایش صفحه اول مقاله
Performance of the frequency domain indices with respect to sleep staging
چکیده انگلیسی

ObjectiveTo compare computerized staging using spectral analyses of various electrophysiological signals with manual sleep staging.MethodsSleep recordings from 21 normal subjects were scored by an experienced rater and by a dichotomous algorithm. The performance of the spectral indices was assessed by the largest kappa value (LKV).ResultsTheta/beta power ratio of the electroencephalogram, high frequency power (8–58 Hz) of the electromyogram (PEMG), mean R–R interval, and total power (0–16 Hz) of the body acceleration (PACCE) had high (>0.5) LKVs when differentiating between waking and sleep. To differentiate sleep with (stage 2 and slow wave sleep) and without (rapid eye movement and stage 1 sleep) spindles, sigma/beta power ratio had high LKVs. PEMG had a medium (>0.25) LKV to separate rapid eye movement from stage 1 sleep whereas delta/beta power ratio had a high LKV to separate stage 2 and slow wave sleep.ConclusionThe frequency components of electroencephalogram perform well in identifying sleep, sleep with spindles, and slow wave sleep. Electromyogram, heart rate, and body acceleration offer high agreement only when differentiating between wakefulness and sleep.SignificanceThe human–machine agreement is acceptable with spectral parameters, but heart rate and body acceleration still cannot substitute for electroencephalogram.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Clinical Neurophysiology - Volume 123, Issue 7, July 2012, Pages 1338–1345
نویسندگان
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