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UNITED STATES COURT OF APPEALS
FOR THE FOURTH CIRCUIT
No. 08-1523
DANIEL LEE DAVIS,
Plaintiff – Appellant,
v.
PARKER EVATT, WARDEN, L-9 Unit, in official and individual
capacity,
Defendant – Appellee.
Appeal from the United States District Court for the Eastern
District of North Carolina, at Raleigh. James C. Dever III,
District Judge. (5:07-ct
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Polysomnographic measurement in pediatric patients can be expensive and complicated. This study evaluated the use of two microcomputer signal-processing systems (SPSs), the SleepTek Inc. SX208 and the Compumedics Siesta, for monitoring a full polysomnographic recording. The polysomnographic recordings were performed on 10 healthy children aged 5-11 years. The main outcome measures were sleep latency, total sleep time (TST), sleep efficiency (percentage of TST), arousal index (AI), and wake after sleep onset (WASO). In addition, electroencephalographic and electrooculographic (EOG) recordings were performed. The SPSs recorded every EOG, electrocardiogram (ECG), and electroencephalogram (EEG) lead. For five of the children, the SleepTek was connected to the second ECG lead, while the Siesta was connected to the second ECG lead and both the second and third EEG leads. The polysomnographic variables were compared with those obtained by manual scoring of the recorded signal. Both the SPSs measured sleep latency, TST, AI, WASO, and wake after sleep onset (WASO) fairly well. The mean duration of sleep recorded by the SPSs was 1.5% higher than that recorded by manual scoring. The intraclass correlation coefficient for the SPSs was excellent for sleep latency (0.98), TST (0.99), WASO (0.98), and poor for AI (0.11) and sleep efficiency (0.12). The total time for monitoring polysomnographic recordings in children is short
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